text:
The Rage Hypo is easily my fav b-head
Type: Posts; User: Cornfed
The Rage Hypo is easily my fav b-head
I've taken a few 150"+ Bucks in my day and plan to take several more before the end
I would rather have just ONE DSD Jake to hunt over, especially bowhunt, then a few cheaper $30-$50 decoys. Do the math?
I've found the sound difference on most modern bows to be very minimal. Even a bow that sounds a bit louder while you're shooting it will sound nearly silent when standing just a few feet away and...
Turkeys will indeed become decoy shy so I wouldn't do it. There really is no reason to ever leave em out, only takes a minute to put em out anyway.
QAD HDX is my all time fav
Use the Strutter! I haven't found a better positioning decoy for point blank 5-15 yard shots
CX Blue Streak Selects tipped with Rage Hyperdermics
QAD HDX is my top choice for my rigs as well
I'd rather see a guy carry both then any of these shows featuring xbows! :sad:
The b-head debate and their fans and fanatics will go on forever. That being said, I'm constantly "testing" different b-heads, oftentimes many different b-heads on several deer each season for...
Meat has NEVER, nor will it ever be, the primary reason I hunt so I have absolutely NO desire to whack a 4 to 6 month old Fawn. I still shake my head when I see someone with a 40 to 70lbs Fawn in the...
cool pic! I've got hundreds of great strutter pix this season and some awesome breeding vids as well.
Illinois, 2 Bucks, UNLIMITED Does
I own several of the popular ground blinds and my top picks are the Double Bull Dark Horse and Double Wide. They fit the bill for everything you're looking for. Top quality and they really do make...
As some have mentioned, this is an elusive time and often can be blamed on dispersing to Fall ranges once velvet sheds. They move into Fall ranges and move very little during daylight within these...
Thats actually refreshing to hear, especially during a time when most that give up compounds are doing so in exchange for the stupid crossbow!
I believe EHD is a lot more common then most folks realize and I've heard of reported cases in all of the Midwest states, especially in the last 2 seasons. We've lost a good number of mature bucks...
Nope, it would have to be a monster for me to burn a Buck tag so early here.
I've owned and used most of the popular cams out there. Without a doubt, THE best trail cam is the Reconyx! As any review or test will show, the Reconyx easily wins in nearly every respect from...
Congrats 👍😎
Well, I guess you'll sure look pretty? Does the pink match your panties??? Lol
Pink is actually a poor choice for hunting, it's not a high visibility color in low light and is also a poor color to...
I have shot and owned many thumb releases, from Stan, TRU-Ball, and Carter. All have been great performers and functioned well for me in the deer stand.
This season I made the switch to the...
AT score is generally GROSS plus 10-15"
A guy has to wear knee high boots for all BS scores thrown around this site every Fall!
Xbow choices generally have slightly shorter blades and some have slightly different ferrules
Congrats on your first Bowkill
I love the shedding velvet pix on Buck #1! Looks like a solid 140"
Many different dual jaw or single jaw choices. I've shot with several from TRU-Ball and Scott and was very pleased. However, that being said, I am somewhat surprised you want to shy away from the...
You have an excellent combo for any Whitetail that walks the face of the Earth. Be confident and good luck this season
Add the Shock Collars.


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by Landon Hall
Buying a bike on eBay can be a crapshoot. While there are some well-known, reputable dealers out there, there are also plenty of shade-tree mechanics who swear they're selling the most perfectly-restored bike you've ever seen. Well there's nothing to worry about with this week's bike, as this beautiful, original 1976 Honda CB750F is for sale by Axel at AmericanClassix.com
Showing just 9,925 miles and 100 percent original and unrestored, this is definately something special. The bike needs nothing to be displayed, though it's possibly-original tires would need to be replaced if you intend to ride this bike. It has a fresh battery, and the right-hand switch pod was replaced with a new-old-stock unit a couple of months ago. Though stunning, the bike does have a few small paint defects on the tank and one sidecover.
To visit the auction and to view more pics of this gorgeous Honda CB750F, go here.
This week's eBay highlight is a 1983 Honda CB1100F, a one-year-only model with a legion of adoring f...
While wandering through eBay this week we came across a couple of interesting motorcycles, but the o...
Our weekly wander through eBay popped up not one but two Honda CB750's we'd be happy to have in our ...
Standard style bikes from the 1980s are slowly becoming more appreciated by collectors and riders al...
Motorcycle Classics is America's premier magazine for collectors and enthusiasts, dreamers and restorers, newcomers and life long motorheads who love the sound and the beauty of classic bikes. Every issue delivers exciting and evocative articles and photographs of the most brilliant, unusual and popular motorcycles ever made!
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text:
|Publication number
|Publication type
|Application number
|Publication date
|Aug 26, 2003
|Filing date
|Jun 30, 2000
|Priority date
|Dec 7, 1999
|Fee status
|Publication number
|Dong-joong Kang, Sung-gul Ryoo, Ji-yeun Kim, Chang-yeong Kim, Yang-seock Seo
|Original Assignee
|Samsung Electronics Co., Ltd.
|Export Citation
|BiBTeX, EndNote, RefMan
|Patent Citations (8), Referenced by (87), Classifications (10), Legal Events (4)
|External Links: USPTO, USPTO Assignment, Espacenet
This application claims priority under 35 U.S.C. ��119 and/or 365 to 99-55577 filed in Korea on Dec. 7, 1999; the entire content of which is hereby incorporated by reference.
1. The Field of the Invention
This invention relates to image signal processing, and more particularly to apparatus and method for interpreting and extracting the features of human faces represented in images input through camera sensor or video images, to detect the human face position within the images.
2. Description of the Related Art
Recently, in the study of artificial intelligence field, attention and study has been focussed on implanting the recognition capability human beings have into a computer to endow intelligence on the computer or machine. In particular, face recognition technology using the human vision system has been very actively and widely studied throughout all fields related to computer vision and image processing, such as image processing, pattern recognition, and facial expression investigation. A technique for detecting faces and facial area is highly regarded in various applied fields such as facial expression research, drivers' drowsiness detection, entrance/exit control, or image indexing. Humans easily detect a facial area even in various and dynamic environments, while it is not an easy thing for computers to perform this, even in a relatively simple image environment.
Representative approaches in previously proposed facial area detection methods include a method of using a neural network (U.S. Pat. No. 5,680,481), a method of using the statistical features of facial brightness, such as a principal component analysis of brightness (U.S. Pat. No. 5,710,833), and a matching method proposed by T. Poggio (IEEE Transactions on Pattern Analysis and Machine Intelligence 20, 1998). In order to employ the extracted face candidate image as the input of a face recognition system, a means of detecting the exact position of facial components or facial features in the extracted face candidate region is required. In other words, in order to compare an input image with a model, position extraction and a size normalizing process for compensating for differences in size, angle, and orientation of the facial image extracted from the input image relative to a facial image of the model template are prerequisite for enhanced recognition and matching efficiency. In most face recognition systems, an eye area or the central area of a pupil is used as a reference facial component in the alignment and the normalizing processes. This is because that features of the eye area remain unchanged compared with those of other facial components, even if a change occurs in the size, expression, attitude, lighting, etc., of a facial image.
Many studies on detecting the eye area or the central position of the pupil from an image are ongoing. Methods applied to conventional face recognition systems mainly adopt a pupil detection method. A representative pupil detection method is to employ normalized correlation at all locations within an input image by making eye templates of various sizes and forming a Gaussian pyramid image of the input image. Furthermore, U.S. Pat. No. 5,680,481 and IEEE TPAMI19, 1997, by Moghaddam and T.Poggio (IEEE TPAMI 20, 1998) show a method in which eigen matrixes for eyes, nose, and mouth areas are provided according to the size of a template, and features of interest are searched through comparison with an input image in all areas within the template image. A problem that both methods have in common is that all areas in an image have to be searched with several model templates classified on the basis of size or orientation for all areas of an image, since no information on size, orientation or location of eye or nose features is made available in the input image. This not only causes excessive computation, but also requires determining a threshold value for defining each area, and causes excessive false alarms, so that application to an actual system is made difficult.
U.S. Pat. No. 5,832,115 discloses that templates having two concentric ellipses for detecting facial ellipses may be used to detect a facial location through evaluating the size of edge contours which encircle the face in a region between the two ellipses. However, even in this case, the same problem occurs in that the size and orientation of an elliptical template has to be determined and searched through all areas within the image.
In order to overcome such problems in facial location detection, many recent studies have focussed on the use of color images. Based on the fact that, in most color images, a color value in the color of a face or skin approximates a general statistical value, the study of extracting candidate facial areas by detection of skin color forms a mainstream (see J. Rehg, (COMPAQ TR CRL9811, 1998) & references therein). Recently, the studies have been successfully applied in color indexing, and facial tracking and extraction. However, the facial position extraction by a color is greatly affected by image obtaining conditions such as a camera which acquires an image, illumination color, and surface and state of an object. For example, two different cameras give different color values even in the same environment and for the same person, and in particular, a face or skin color value significantly changes depending on illumination. In a case in which the image obtaining conditions is unknown, it is difficult to determine the range of a skin color value for identifying only face color region. Furthermore, a process of determining only facial areas for similar skin colors which are widely extracted, including background regions, is not only a difficult task but requires many subsequent processes.
To solve the above problem, it is an objective of the present invention to provide an apparatus which is capable of accurately and quickly detecting a speaking person's eye and face position, and which is tolerant of image noise.
It is another objective of the present invention to provide a method of accurately and quickly detecting a speaking person's eye and face.
Accordingly, to achieve the above objective, an apparatus for a speaking person's eye and face detection according to an embodiment of the present invention includes an eye position detecting means for detecting pixels having a strong gray characteristic to determine areas having locality and texture characteristics as eye candidate areas among areas formed by the detected pixels, in an input red, blue, and green (RGB) image, a face position determining means for creating search templates by matching a model template to two areas extracted from the eye candidate areas, and determining an optimum search template among the created search templates by using the value normalizing the sum of a probability distance for the chromaticity of pixels within the area of a search template, and horizontal edge sizes calculated in the positions of the left and right eyes, a mouth and a nose estimated by the search template, and an extraction position stabilizing means for forming a minimum boundary rectangle by the optimum search template, and increasing count values corresponding to the minimum boundary rectangle area and reducing count values corresponding to an area other than the minimum boundary rectangle area, among count values of individual pixels, stored in a shape memory, to output the area in which count values above a predetermined value are positioned, as eye and face areas.
To achieve another objective of the present invention, a method of detecting a speaking person's eye and face includes the steps of detecting pixels having a strong gray characteristic to determine areas having locality and texture characteristics as eye candidate areas among areas formed by the detected pixels, in an input red, blue, and green (RGB) image, creating search templates by matching a model template to two areas extracted from the eye candidate areas, and determining an optimum search template among the created search templates by using the value normalizing the sum of a probability distance for the chromaticity of pixels within the area of a search template, and horizontal edge sizes in the positions of the left and right eyes, a mouth and a nose, estimated by the search template, in the RGB image, and forming a minimum boundary rectangle by the optimum search template, and increasing count values corresponding to the minimum boundary rectangle area and reducing count values corresponding to an area other than the minimum boundary rectangle area, among count values of individual pixels, stored in a shape memory, to output the area, in which count values above a predetermined value are positioned, as eye and face areas.
The above objectives and advantages of the present invention will become more apparent by describing in detail a preferred embodiment thereof with reference to the attached drawings in which:
FIG. 1 is a block diagram illustrating the overall configuration of the present invention;
FIG. 2 is a detailed block diagram illustrating an eye position detector;
FIG. 3 is a detailed block diagram illustrating a face position determiner;
FIG. 4 is a detailed block diagram illustrating an extracted position stabilizer;
FIG. 5 illustrates the brightness distribution of a face shape;
FIGS. 6A-6D illustrate a process of detecting candidate eye areas;
FIGS. 7A-7C illustrate a process of detecting a face position; and
FIG. 8 illustrates the detection of a face position in a serial Moving Picture Experts Group (MPEG) image.
In the present invention, an eye position, which is a representative facial feature, is extracted through the analysis of a common feature shown in a face which is obtained from various color images. Eyes in a face have a geometrically concave shape, so the brightness of the eyes represents a strong gray characteristic in an image. A representative color characteristic of the eyes is that the values of three principal components of an input color are similar in magnitude and are very low in brightness at the eye position. Furthermore, the brightness difference of colors of the pupil of eyes and a face is densely and locally distributed, so that it is characterized by texture in most images in which pupil contours are represented. In addition, since eye position is surrounded by a face color, it shows the characteristic of locality in which both color and texture characteristics locally occur. In the case of hair, it has a strong gray characteristic locally in the boundary portion, but such characteristic is shown wide and long. Thus, hair does not have the locality characteristic.
The present invention uses the above three main features as information for the initial detection of an eye position. After the eye position is detected through the combination of the three characteristics generated by the eyes, then the exact eye position is extracted through a combination of several subsequent processes and a face recognition process, and a face position is extracted using the information resulting therefrom. Furthermore, face position information extracted in this way may be used in an application of region of interest (ROI) in image transmission by a video phone.
Referring to FIG. 1, an apparatus for enhancing an image quality by eye and face detection according to an embodiment of the present.invention includes an eye position detector 10 for determining an eye position in an input image, a face position determiner 20 for forming a face template using the detected eye position candidate points and matching the face template with image data in order to determine the eye and face positions, and an extraction position stabilizer 30 for preventing the extracted eye and face positions from being significantly changed in an image.
As shown in FIG. 2, the eye position detector 10 according to an embodiment of the present invention includes a color conversion unit 21, a strong gray extraction unit 22, a median filtering unit 23, an area formation unit 24, an area shape interpreting unit 25, a texture extraction unit 26, and an eye candidate determining unit 27. The color conversion unit 21 converts a video signal YUV of an input image to a three-color (RGB) signal. The strong gray extraction unit 22 interprets the RGB signal of the image to extract pixels having a strong gray characteristic. The strong gray extraction unit 21 uses features in which, if the difference between the maximum color value (MAXC) and the minimum color value (MINC) of each color component, which represents a color for a pixel, is less than a predetermined value t1, and the value MAXC is less than another predetermined value t2, then the pixel represents a strong gray characteristic. Herein, when the values of each color component are represented in the range of 0-255, preferably, t1 is determined in the range of 55-65 and t2 is determined in the range of 90-110. However, the scope of the present invention is not restricted to the above embodiment, and includes every known method of extracting strong gray pixels.
The median filtering unit 23 filters the extracted pixels with a median filter to blur out spot noise. The area formation unit 24 groups connected pixels together to form areas to each of which a corresponding label is provided. The area shape interpreting unit 25 includes a circularity interpreting unit 25 a, a height-width ratio interpreting unit 25 b, and an area size interpreting unit 25 c. The circularity interpreting unit 25 a interprets the shape of each labeled area to determine whether or not the shape approximates a circle. The height-width ratio interpreting unit 25 b calculates the height-width ratio of each labeled area, and the area size interpreting unit 25 c computes the relative size of each labeled area to examine the locality of each area.
The texture extraction unit 26 includes a morphology interpreting unit 26 a and a horizontal edge interpreting unit 26 b. The morphology interpreting unit 26 a uses a morphology filter in each area to examine a texture characteristic by calculating a texture response. The horizontal edge interpreting unit 26 b extracts a horizontal edge using a horizontal edge filter. As a morphology filter, a minimum morphology filter is preferably used (see M. Kunt, IEEE TCSVT, 1998), and a Sobel operator, which is a general differential filter, is used as a horizontal edge filter. Finally, the eye candidate determining unit 27 determines areas, among the labeled areas, in which locality and texture characteristics, respectively, are larger than predetermined values as eye candidate areas.
Referring to FIG. 3, the face position determiner 20 according to an embodiment of the present invention includes a face template creation unit 31, a probability distance operation unit 32, an edge feature interpreting unit 33 and an optimum search template determining unit 34. The face template creation unit 31 matches a model template previously provided to the positions of two areas extracted from the eye candidate areas to create a search template on an input RGB image by similarity transformation. Preferably, the model template is formed of a rectangle of a face area, including two circles indicative of the left and right eyes, the base of which is located between noise and mouth portions.
The probability distance operation unit 32 calculates the sum of probability distances of the skin colors at each pixel of a face area using the values of the color difference signals Cr and Cb of pixels within the search template area and previously trained statistical values, and then normalizes the sum of the probability distances over the size of search template. The edge feature interpreting unit 33 detects the horizontal edge feature of an input RGB image from estimated locations of eyes, nose and mouth in a search template. More specifically, the edge feature interpreting unit 33 detects a first horizontal edge size of the input RGB image, corresponding to the estimated locations of a mouth and a noise in the search template, and furthermore, detects a second horizontal edge size in the input RGB image corresponding to an area matched with the search template excluding the eyes, nose and mouth locations. Then, the edge feature interpreting unit 33 calculates an edge component ratio that is a ratio of the first horizontal edge size to the second horizontal edge size. In addition, the edge feature interpreting unit 33 can detect the horizontal edge size of eyes, normalized over the size of circles indicative of eye position.
The optimum search template determining unit 34 sets each predetermined weight to the normalized probability distance, edge component ratio and the normalized horizontal edge size of the eyes, to determine a template having the smallest sum thereof as an optimum search template. In the case in which an area in which a plurality of search templates are superimposed is located independently of an area in which other search templates are superimposed, the optimum search template determining unit 34 determines each optimum search template on the basis of an independent area. This is because a plurality of faces may be included within an image.
As shown in FIG. 4, the extraction position stabilizer 30 according to an embodiment of the present invention includes a shape memory 43, a minimum boundary rectangle (MBR) formation unit 41, a shape memory renewal unit 42, and a tracking position extraction unit 44, and furthermore, another embodiment may include a speed & shape interpreting unit 45. The shape memory 43 stores count values of the number of pixels corresponding to the size of an input RGB image (the height of the image times the width thereof). The MBR formation unit 41 forms a minimum boundary rectangle in which a facial image within an optimum search template is included. In the case of the search template, a rectangle is susceptible to rotation with regard to an image, depending on the relative positions of left and right eyes. However, the MBR includes a facial boundary determined by the optimum search template, and is formed with the same orientation as an image regardless of rotation of a face.
The shape memory renewal unit 42 increases count values corresponding to the area of an MBR, among pixel-based count values stored in the shape memory 43, and reduces count values corresponding to areas other than the MBR. The tracking position extraction unit 44 outputs areas, in which count values greater than or equal to a predetermined value are located, as a speaking person's eye and face areas. Furthermore, the speed & shape interpreting unit 45 calculates the area and moving speed of the MBR to control the range of values increased or reduced by the shape memory renewal unit 42.
The operation details of the present invention will be now described. At the outset, a process of determining eye candidate areas according to the present invention will be described with reference to FIGS. 2, 5, and 6A-6D. The present invention utilizes input video signals of a general still image or video color image. The video signal YUV of an input image is converted to a three-color (RGB) signal. The three important characteristics considered for eye position detection in the present invention are: the strong gray characteristic of eyes, the horizontal edge or texture characteristic of a position near eyes, and the locality of distribution. In order to explain the three characteristics. FIG. 5 shows thirty-two of frontal face images for sixteen people, i.e., two images per person, and an image averaging the frontal face images. As shown in each image of FIG. 5, the concavity of left and right eyes occurs in regions having a circular shape. The important point in the stage of determining eye candidate areas is to extract eye candidate points through combination of the three characteristics.
FIG. 6A illustrates four representative images used in Moving Picture Experts Group (MPEG) video clips. The images are mainly head & shoulder views in which a head and the upper part of body are shown. As shown in FIG. 6A, the eye portions of the images commonly represent a strong gray characteristic in which the portions are close to black. The gray characteristic is caused by the fact that eyes have a geometrically concave shape.
Therefore, the strong gray extraction unit 22 extracts pixels representing strong gray from the color signal of an image, using a characteristic in which a pixel represents strong gray if the difference between the maximum and minimum values of a color component representing color for the pixel is small and brightness is distributed low, FIG. 6B shows the extraction of pixels representing the strong gray characteristic. Referring to FIG. 6B, strong gray pixels in each image are indicated as white pixels by superimposing them on the original image, and dark portions of the background as well as eyes, in each image, are extracted
When it comes to spatial distribution for the extracted pixels in image coordinates, the gray pixels of eye portions are localized on the inside of the skin area of a face, while gray pixels of background or head portions occur in large lumps or scattered widely. This means that a locality characteristic becomes the consistent feature of the eye portion, and accordingly only eye candidate areas can be extracted using the locality characteristic.
After performing median filtering and area labelling on the edge pixels output from the strong gray extraction unit 22, the area shape interpreting unit 25 calculates the size, circularity and height-width ratio of each area to remove areas having no locality characteristic. In the circularity measurement, it is necessary to search for areas whose shapes are close to a circle, irrespective of the orientation or size of the areas. Thus, an embodiment of the present invention preferably employs the following equations by Haralick [Computer & Robot Vision Addition-Wesley Pub., 1992] as a standard of measuring circularity and height-width ratio having such a characteristic:
In the equations (1) and (2), the two values μR and σR are defined in terms of pixels rk and ck, where k denotes the index for pixels within a shape and goes from 0 to n, and ({overscore (r)}, {overscore (c)}) is the coordinate of an area center. The value of μR/σR measured from the two computed values indicates the circularity of the shape. If the value of μR/σR in an area is less than a predetermined value (The predetermined value is 1.2 in the preferred embodiment of the present invention, but the scope of the invention is not restricted to it.), there is a high likelihood of representing an area of random shape, so the corresponding area is excluded.
The MBR of an area is calculated to compute a height-width ratio. The height-width ratio is limited so that areas that are long in the vertical direction of an image are removed. In an embodiment of the present invention, areas the height-width ratio of which is less than 0.7 or greater than 3.5 are removed. Furthermore, areas in which the number of pixels is greater than or equal to a predetermined value are excluded. In an embodiment of the present invention, if the size of an area which is equivalent to the number of pixels in the height of the image multiplied by the number of pixels in the width thereof/1,600) is greater than a predetermined value, the area is excluded. However, the scope of the present invention is not restricted to the numeral limit used in an embodiment thereof.
FIG. 6C shows a texture characteristic detected by a morphology operator. Referring to FIG. 6C, a strong response (magnitude of brightness) of a texture characteristic is extracted due to the densely localized brightness difference. The texture characteristic is represented strongly in an edge portion, not the boundary between areas. Furthermore, it can be found that a horizontal edge characteristic consistently exists, considering that the brightness difference strongly occurs in the vicinity of eyes, in a vertical direction. Thus, eye candidate areas can be finally determined by selecting only portions including strong horizontal edge and texture characteristics among eye area candidates extracted by area shape interpretation.
FIG. 6D illustrates the final eye candidate points thus extracted. Since a face has left and right eyes, if the positions of both eyes are determined, then the size, direction and location of a face template to be compared can be determined. In other words, the position of the eyes is determined by superimposing a face template according to the extracted eye candidate positions, and finally identifying a face area.
Next, a process of determining a face area will be now described with reference to FIGS. 3, 7A-7C, and 8. FIGS. 7A-7C explains a process of determining an optimum search template using a model template. FIG. 7B shows the shapes of a search face template matched by superimposing the search template on the selected eye candidate area. More particularly, a model template consists of a rectangular shape the size of which is changeable, and two circular shapes indicative of an eye position within the rectangular shape. In addition, the base of the rectangle of the model template is located between noise and mouth. Once the position of a pair of eye candidates is selected, the size, orientation, shape and location of the model template in the image are determined, so that the model template is superimposed on the eye candidate area. Subsequently, it is determined whether or not the selected eye candidate area actually represents eyes on a face by investigating the colors and geometrical characteristics of image areas contained within the overlapped model template. The model template similarity transforms into a search template with four factors. In this case, it is possible to determine a conversion factor because there are four equations and four unknowns. FIG. 7C indicates the finally recognized eye position and detected face area.
The following is a process of recognizing a face in the search template determined by the eye position. Firstly, a face takes on a skin color and the distribution of the skin color of humans has a given range. Many studies demonstrate that the reflection color of an object varies widely and largely depending on a change in illumination and shape, but the color of a face or skin has a specified value and a specified distribution in most images. In the light of this fact, it is possible to recognize face candidate areas by using distribution of a skin color. It can be assumed that a face color has a Gaussian distribution in a two-dimensional chrominance space. Thus, a skin color can be selected from thousands of MPEG video images to calculate a statistical value. Using the computed statistical value, it is possible to compute a probability distance indicating whether or not the internal areas of search templates superimposed as shown in FIG. 7B are close to a skin color. In an embodiment of the present invention, a mahalanobis distance is used as a probability distance.
In equation (3), d and x denote probability distance and vector value of an input color comprised of color difference signals Cr and Cb, respectively. Furthermore, μ and Σ indicate the average vector of trained skin color, and the variance matrix of trained value. As the sum of a mahalanobis distance for the chromaticity of the inside, normalized to the size of a template, becomes less, there is a greater likelihood of representing a face area.
Secondly, a mouth or a noise are positioned in the vicinity of the central portion of the base of the rectangular search template, and the horizontal edge component of this portion is large. In contrast, the remaining face area portions of the search template except the mouth, noise and eye portions, have a comparatively even brightness distribution, and there is no particular edge component. Thus, the ratio of horizontal edge components calculated in both areas is used as a discrimination value.
Thirdly, the horizontal edge of an eye portion is relatively large. Thus, the horizontal edge size of the eyes normalized by the size of circles indicative of the eye portion can be used for identifying a face. With respect to several search templates superimposed in FIG. 7B, the values of the above three factors, i.e. a mahalanobis distance, the ratio of a horizontal edge component and the horizontal edge size of the eyes, are calculated, and then a search template, having the smallest sum of the values, weighted corresponding to the importance of each factor, is selected as an optimum search template. If each search template is superimposed on a plurality of eye candidate areas corresponding thereto, only the search template that gives a minimum response is extracted. Furthermore, if an area formed by superimposing a plurality of search templates is located independently of an area formed by superimposing other search templates, it is determined that two or more people exist, and an optimum search template is determined on an area-by-area basis. The above processes facilitate detection of the eye position and face. In connection therewith, FIG. 8 exemplifies the positions of eyes and faces detected in typical serial MPEG images in which head & shoulders are shown.
Finally, an extraction stabilization process will now be described with reference to FIGS. 4 and 7C. The template of the eye and face extracted through face recognition as shown in FIG. 7C requires stabilizing in a serial image. Natural image sequences always have image noise generated by several causes such as an environment condition for obtaining sequences, and factors within an image input apparatus. Therefore, the image quality of two sequential images on a serial image input in quite a short time shows a different characteristic in many aspects. The image noise characteristic affects the computation of image feature value, so that the feature value calculated in the image changes many times along a time axis. The efficiency for image recognition and object detection is influenced by such instability factors, and also the position of the template of the eye and face shown in FIG. 7C tends to be extracted unstably in a serial image. In order to remove the instability factors, the present invention uses a technique of accumulating the MBR position information indicative of the boundary of an object to solve instability in a template extraction.
In general, an object having mass has a moment of inertia. When a human or an object moves in an image, a significant moving change rarely occurs in the minute intervals of a time axis. In particular, the spatial position of a human in a head & shoulder image is likely to be subsequently represented at a predetermined location, and seen from a serial image, the position increasingly changes at slow speed. In other words, there exists a temporal coherence for extracted positions between sequential image frames. Seen from video image obtained in units of 20-30 pieces per second, there are few occasions when an object on the left in the i-th frame appears suddenly on the right in the i+1-th frame. Using the temporal coherence of a time axis facilitates the extraction position stabilization and the sequential extraction and tracking of MBR. The process can be simply implemented by using a shape memory technique which will be described in the following.
Firstly, a shape memory having a space for storing the count value equivalent to the size of a video frame is secured to initialize count values corresponding to individual pixels. Next, inputs from n MBRs of the extracted face are received to increase the count values of a shape memory assigned to corresponding locations of pixels within the MBRs. Also in the subsequent image, the same number of MBRs are input to repeat the same process as for the preceding image. If the extracted MBRs are serially extracted in similar positions, count values in the corresponding positions of a shape memory continues to be increased. A count value is continuously increased until the value reaches a predetermined value, and when the value comes to the predetermined level, the value is maintained. Contrarily, in positions outside the MBRs, a count value of the shape memory is repeatedly reduced until the value comes to zero where it is maintained. In an embodiment of the present invention, the count value is in the range of 0-7. If the same process is repeatedly performed, only an object sequentially extracted in similar positions is stable enough to be the accurate extraction, while an object repeatedly extracted in random positions naturally has a low count value in the shape memory. Thus, an object can be determined to exist in only a portion indicating that the examined count value of a shape memory is above a predetermined threshold value. According to an embodiment of the present invention, only a portion indicating a count value above 3 is determined to be the position in which a face exists. However, the scope of the present invention is not restricted to the range of the count value and threshold value chosen in the preferred embodiment for identifying the positions of eye and face.
The advantage of the shape cumulative memory is that object detection and position stabilization can be simply accomplished and the operating speed is very fast, considering its efficiency. Furthermore, a count step can be controlled in such a way as to reduce or increase the count value depending on the size of MBR, the position of which is significantly changed or extracted, thereby adapting the memory to the speed of a moving object, importance of an object, or a shape characteristic. For example, if an object moves more slowly or if the face size of an object is comparatively small, a count step is preferably made large.
In a moving image communication by a moving image phone or mobile phone, a human face becomes the most important region of interest. Thus, when creating an image compressed by encoders such as MPEG-1, MPEG-2, MPEG4, and H.263, the image quality in a face area can be improved by using information of the extracted face area. This means that the present invention can appropriately be applied to an apparatus for controlling the entire amount of transmitted information and maintaining a high resolution image by transmitting only a face portion which is an ROI with a high resolution image, and transmitting the remaining background portion or a portion other than the ROI with a low resolution image or low amount of information.
The eye and face detection according to the preferred embodiment of the present invention may be embodied as a computer program which can be executed on a computer, and the program can be read out from recording media in which the program is recorded to execute it in a general-purpose digital computer system. The recording media includes magnetic storage media (e.g., ROM, floppy disk, hard disk, etc.), optical read memory (e.g., CD-ROM, DVD), and carrier wave (e.g., transmission through Internet).
The eye and face detection apparatus according to the present invention is capable of accurately and quickly detecting the eyes and face in an image and is tolerant of image noise. In other words, the present invention can be simultaneously applied to an image having a static background and an image having a dynamic background. In the course of detecting eye and face positions, high-speed processing and parallel processing are enabled by avoiding a search of the entire image. Furthermore, reliability enhanced eye and face detection is allowed in combination with movement detection, etc. The present invention can appropriately be used in applications such as video phones, monitoring systems requiring preservation of a face with a high resolution image, and content-based image searching.
While this invention has been particularly shown and described with reference to a preferred embodiment thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the described embodiment should be considered not in terms of restriction but in terms of explanation. The scope of the present invention is limited not by the foregoing but by the following claims, and all differences within the range of equivalents thereof should be interpreted to be covered by the present invention.
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|Nov 17, 2004
|Jun 1, 2006
|Lexmark International, Inc.
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|Oct 12, 2005
|Jun 15, 2006
|Samsung Electronics Co., Ltd.
|Apparatus and method for recognizing an image
|Dec 16, 2003
|Sep 14, 2006
|Canon Kabushiki Kaisha
|Pattern identification method, device thereof, and program thereof
|May 31, 2006
|Jan 11, 2007
|Fuji Photo Film Co., Ltd.
|Image processing apparatus, moving image encoding apparatus, information processing method and information processing program
|Dec 31, 2009
|Canon Kabushiki Kaisha
|Image processing apparatus, image processing method, and computer program
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|Nikon Corporation
|Subject tracking device and camera
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|Samsung Electronics Co., Ltd.
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|Apple Inc.
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|Jan 26, 2012
|Nec Corporation
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|Sep 17, 2010
|Mar 24, 2011
|Heather Kinch Studio, Llc
|Digital field marking kit for bird identification
|U.S. Classification
|382/118, 382/209
|International Classification
|Cooperative Classification
|European Classification
|Oct 3, 2000
Owner name: SAMSUNG ELECTRONICS CO., LTD., KOREA, REPUBLIC OF
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|Feb 2, 2007
|Fee payment
Year of fee payment: 4
|Jan 26, 2011
|Fee payment
Year of fee payment: 8
|Jan 15, 2015
|Fee payment
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text: [ Fireworks 2015 – A guide to July 4 events in New Jersey By Melissa Rivera July 2, 2015 Independence Day is coming up, and many counties in New Jersey are having Fourth of July fireworks displays to celebrate. Here is our county-by-county guide to NJ firework displays across the Garden State for 2015. Read More|Comment Category: Popular Posts, Talking About . . . Tags: best of NJ, fireworks, July 4 fireworks, New Jersey Fireworks, Newsletter, nj fireworks Send to a friend! Share on Facebook Share on Twitter Pin it! Reddit This! Share on Tumblr!


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The hoagies are big and well made. The staff is fast and friendly. They could use a kids menu, I spent $7 for a small hoagie that was just meat and bread


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To print a page in the RCW, use your browser's normal print functions (Ctrl-P on a PC, Command-P on a Mac, or File > Print on either). The resulting printed page will show just the content and not the banner at the top, the left-side navigation, or the footer links. To see how the page will look before you print it, use your browser's Print Preview.
(1) For the purpose of this chapter, unless the context indicates otherwise: (a) "Building" has the definition in RCW 9A.04.110(5), and where a building consists of two or more units separately secured or occupied, each unit shall not be treated as a separate building; (b) "Damages", in addition to its ordinary meaning, includes any charring, scorching, burning, or breaking, or agricultural or industrial sabotage, and shall include any diminution in the value of any property as a consequence of an act; (c) "Property of another" means property in which the actor possesses anything less than exclusive ownership. (2) To constitute arson it is not necessary that a person other than the actor has ownership in the building or structure damaged or set on fire.
[2002 c 32 § 1; 1975-'76 2nd ex.s. c 38 § 6; 1975 1st ex.s. c 260 § 9A.48.010.]
Effective date -- Severability -- 1975-'76 2nd ex.s. c 38: See notes following RCW 9A.08.020.


text:
The Beach House
from £96 /night help Price for guests, Nights approx:
from £96 /night help Price for guests, Nights approx:
Estimated nightly price based on a weekly stay. Contact the advertiser to confirm the total cost.
House / 3 bedrooms / sleeps 6 Home 1348895
Availability Your dates are available
House / 3 bedrooms / sleeps 6
|Key Info
The Beach House is a traditionally decorated three bedroom house, located within minutes of the beach. Internally, the property is spacious and airy and features an open plan living and dining area, while externally the property has a large garden which can be accessed directly from the living area, ideal for al fresco dining.
The house is located next door to The St Michaels Hotel and Spa, where guests can enjoy communal use of the hotel's facilities including an indoor heated swimming pool, tennis court, sauna and gymnasium.
The property is situated just 200 meters from the Blue Flag Gyllyngvase Beach, a crescent shaped white stretch of sand, ideal for family bathing and watersports.
Falmouth has one of the finest natural harbours in the world and beholds a vibrant maritime history. It provides plenty of attractions and amenities including the National Maritime Museum and Pendennis Castle. Falmouth town centre has a great selection of shops, cafes and restaurants and the Falmouth Art Gallery is one of the best in Cornwall.
Just a short drive or boat ride away, Cornwall's capital, Truro also offers a large selection shops, restaurants and cafes.
Fal River Links offers many boat trips from Falmouth to Truro, St Mawes and the Roseland Peninsula allowing you to leave the car at home and take to the water.
|Sleeps up to 6, 3 bedrooms
|Check in time:
|Check out time:
|Nearest beach
|Gyllyngvase Beach 180 m
|Will consider
|Corporate bookings, Long term lets (over 1 month)
|Car not necessary
|Nearest Amenities
|180 m
|Nearest travel links
|Nearest airport: Newquay 48.3 km, Nearest railway: Falmouth Town 650 m
|Family friendly
|Great for children of all ages
|Pets welcome, No smoking at this property
Features and Facilities
|Sauna, DVD player
|Shared indoor pool
|TV, Wi-Fi available
|Kettle, Toaster
|Dishwasher, Cooker, Microwave, Fridge, Freezer
|3 bedrooms, 2 bathrooms of which 1 Family bathrooms and 1 En suites
|Double beds (3), Dining seats for 6, Lounge seats for 6
|Linen provided, Towels provided
|Shared indoor pool, Private garden
|Parking, Not suitable for wheelchair users
The Cornwall region
West Cornwall is a glistening and unspoilt corner of the West Country – where a passion for the great outdoors and a captivating history splash against the backdrop of beautiful landscapes. Thirty six miles of coastline wrap around twinkling fishing villages, rural trails and nostalgic towns, promising a truly refreshing West Cornwall holiday. Our range of self-catering and pet-friendly West Cornwall holiday cottages are the perfect base to enjoy this magical corner of the country, whether during the summer months or for a winter retreat! With the stunning Lizard Peninsula, beautiful beaches and the famous Land's End, West Cornwall has everything you could wish for! West Cornwall includes 36 miles of coastline. West Cornwall's seas are clear. The Cornish Way cycle trail runs from Truro to Land's End.
A pleasant coastal town nestled in South Cornwall, Falmouth is the perfect place to relax and explore during your holiday. A busy port with a rich nautical history, including being the launch pad of numerous yachting races and a crucial battlement during the time of Henry VIII, this cosy corner of Cornwall is packed with things to do during your stay, including the famous National Maritime Museum, fascinating castles and numerous ferry trips and scenic walks to be enjoyed.
Blessed with a variety of gastronomic options, from succulent medieval fare at King Arthur's Meadery to freshly caught local seafood at The Cove, Falmouth is a great place to sample both local and international cuisine. The four main beaches offer visitors a wide selection of activities, from simply building sandcastles to windsurfing and water sports. With fishing trips, golf and excellent links to the beautiful surrounding area, Falmouth represents a truly memorable break.
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text: Carpets & Candids: Carey Mulligan's pretty Chanel Smutty Fitness: exercise rationing Duana Names: Fix the Nick Duana Names: Strife, Drama, and definitely not Otto Carpets & Candids: Jennifer's Super Bowl outfit February 4, 2013 15:07:19 Posted at February 4, 2013 15:07:19 Posted by Lainey facebook twitter google+ email Tags: Jennifer Hudson Style Porn Photos:Jamie Squire/ Christopher Polk/ Getty It's a good look. I think it's a poor shoe choice but overall it's not a drawback. Can you imagine though how that must have felt? With the nerves and the sweat and the exertion from the singing underneath a leather top? I feel like they would have had to cut that off of me. Previous Lifestyle Article Next Lifestyle Article Related on LaineyGossip Carpets & Candids: Carey Mulligan's pretty Chanel Carpets & Candids: Emilia Clarke's red lips Carpets & Candids: Lupita Nyong'o in dove grey Carpets & Candids: Selena Gomez's street pyjamas Around the Web


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RusVelo rider Sergey Firsanov crossed the line second in the mythical Italian one-day classic Tre Valli Varesine, 8 seconds behind one of the top names of today's cycling Vincenzo Nibali (Astana), just ahead of the chasing group led by another Italian, sprinter Giacomo Nizzolo (Trek Factory Racing).
Artem Ovechkin, representing Russian national team, leaves the UCI World Championships and will not be able to contest the individual time trial scheduled for September 23.
RusVelo track team spent a highly successful racing week in Saint Petersburg were Olympic events national championships were held.
RusVelo rider Mamyr Stash riding for the national team finished second in the 161 km-long road race on the final day of U-23 European Championships held in Estonia.
RusVelo track sprinters excelled at the U-23 European Championships in Athens, collecting three golds, two silver medals and two bronzes.
RusVelo rider Ivan Savitskiy took stage 4 of 2.HC Tour of Qinghai Lake. The race, famous for its overall length and extreme altitude, climbed as high as 3300 m, drawing a semi-circle around the big lake it is named after.
RusVelo's chief ITT specialist Artem Ovechkin won a 8.8 km-long opening stage against the clock in the UCI 2.1 Tour of Slovenia taking the yellow jersey that came with it.
Ivan Savistky, one of the most versatile riders of the new generation of Russian road and track talents, signed a contract with RusVelo team. He rode for the squad for two years, then spent a season in continental division with the Russian Helicopters.
Professional continental team RusVelo has been notified by the UCI of a possible infringement of the anti-doping regulations by the rider of the team Petr Ignatenko
The third edition of three day-long, increasingly popular Colnago Cycling Festival drew thousands of cyclists, fans and their family members to the shores of the Lake Garda.
RusVelo rider Sergey Firsanov won the fifth and final stage of 2.1 Tour d'Azerbaijan, traditionally held in the country's capital, in a late solo attack, crossing the line just ahead of Alexander Shushemoin (Kazakhstan national team) and the main bunch spearheaded by the Slovenian Matej Mugerli (Synergi Baku Cycling Project).
RusVelo rider Andrey Solomennikov came in third in the queen stage of 2.2 Five Rings of Moscow held on the Olympic road race circuit, 1980 Games venue, an unparalleled roller-coaster course.
RusVelo team's assigned sprinter Roman Maikin found himself caught in a mass high-speed pileup midway through the 1st stage of the 2.2 Five Rings of Moscow and had to immediately quit the race because of a swollen knee and a sharp pain in the chest.
RusVelo rider Roman Maikin came in third in the fifth and final stage of the Tour of Croatia, set between the cities of Sveti Martin and Zagreb over 177 km-long predominantly flat course with a technical cobblestone uphill finish.
RusVelo rider Roman Maikin came in third in the sprint battle of stage two of the UCI 2.1 Tour of Croatia. 180 km between the cities of Sibenik and Zadar finished in a couple of tight, highly technical city laps.
RusVelo rider Sergey Firsanov takes the second stage race overall win this season holding on to the yellow jersey of the GP of Adygeya.
RusVelo rider Ivan Balykin won the inaugural edition of 1.2 Maykop-Uliap-Maykop, beating Timofey Kritskiy (Russian national team) in a two-man sprint.
Apart from pure physical conditioning, we'll focus on polishing technical and tactical aspects. To win you have to be impeccable in all the phases of the race, there should be ideal interaction between us two. We saw at the Olympics that top favorites like the British and the Chinese teams missed their chance through this, no matter how strong they were at the moment; and I have little down they put a huge focus on this part of preparation. So it's an area that makes the difference when the teams are more or less on the same level".
Last Sunday gave RusVelo much more reasons for celebration than the previous racing day when the team lost the leader's jersey in the Tour of Kuban.
RusVelo riders Andrey Solomennikov and Roman Maikin finished first and second in the inaugural edition of Krasnodar-Anapa one-day race held in the South of Russia. A 178 km-long event saw a group of fifteen ride away around 35 km into the race on a coastal road open to gusts of side wind.
SEARCH TAG / TERM: rusvelo


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Hello ubuntu forums and members,
i created a 8 gig. ntfs partition to install ubuntu 10.04 on.(install was no problem)
im not sure why but my file system reads as only having 4 gig's.... here are the pics..
the second photo using disk utility shows the 8 gigs spread out."'is ubuntu hiding 4 gigs for just data"
i hope to be able to free up those 4 gig's since my disk analyzer shows the filesytem as only having 4 gigs and im running low. 400. mb. free space... help with resizing please..
thanks a million...


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Pete's on Twitter... make my day and send me a Tweet !!
Everything you ever wanted to know about old houses - under one roof...
Live in an old house, or thinking of buying one? We've seen and experienced almost everything that can go wrong with one. We work on properties from early medieval stone cottages to Edwardian townhouses. This website is dedicated to helping understand your home, and get the most from it. The survey and advice sections of the site, are run by Peter in Shropshire and Richard in London.
Richard is a Chartered Surveyor - MRICS, and Pete is a long standing Affiliate member of the Institute of Historic Building Conservation - the professional body for those working in the conservation sector.
Our professional survey website is Heritage Consulting Ltd so if you are looking for a survey of your new home, have a look at the survey site and give us a call.
We conduct Building Surveys on any old house - whether Listed Grade 1, Grade 2* or Grade 2, or just a lovely old Victorian town house. We are the scourge of the Timber and Damp industry - we do Timber and Damp surveys which turn the myth of rising damp on its head. We'll tell you if your house really IS damp, and why - we tell you how to deal with it, how to maintain it, and what it'll cost.
What IS an old house? It's very simple - an 'old house' is a structure built with solid walls (stone, brick, timber frame) using breathable materials. Most problems with old houses result from inappropriate use of modern building materials which prevent your house from 'breathing' - things like cement and gypsum plaster, emulsion paints and waterproofing.
Everything within this site relates to old buildings. The techniques and materials are essential to old houses, but they equally can be applied to new ones. You Cannot apply new house techniques to old houses! The Golden Mantra - BREATHABILITY!
If you don't believe me - have a look at the Historic Scotland climate change blog: Traditional Buildings are Cool
Is damp a problem? Flaking plaster, hollow render on walls, paint bubbling and flaking off walls, mouldy wallpaper, leaky or rotting timber frame, stonework deteriorating, things just getting creaky and rotten? These are typical problems with old houses. We can help with sensible solutions, and show you WHY the problem is happening, and how to prevent it in future.
If you are having problems with damp, or a building survey says you need a Property Care Association 'Timber and Damp' survey, watch this video to see how the RICS surveyor, and founder member of the PCA - Peter Cox, misdiagnose rising damp and attempt to sell £2,000 worth of unneccessary damp proofing to the buyer of a perfectly dry old home:
The good news is that the damp industry is struggling. At long last everyone is realising the damage these PCA 'wallies' are doing - chemical manufacturers are apparently laying off staff, things are getting bad out there for them. Property Care Association efforts to re-brand itself as a caring organisation looking after your home just don't seem to be working - oh dear - I wonder why!
This is one of the best Case Histories I have ever seen on Mis-Sold 'rising damp' treatment. Here's my video of the day - I followed Wally Damp Man around the house and tested his ping prong holes to find no evidence of damp. The one place he missed was where it all was. This 'Damp Proofing and Wood Preservation Services Ltd of 37 Saxon Street, Stapenhill, Burton' has been reported to Trading Standards. Don't ever use them.
Best Fraudulent Damp Survey ever!
This is exactly what the Green Deal is all about. Cameron and his mad public servants in DECC are destroying our homes with this badly thought out madness. It's fine to insulate, but NOBODY has thought about the consequences. Installers are just out to make millions - they dont give a damn what happens to your home after they leave.
Read our site carefully. Look at the cavity wall insulation pages. Be careful. Don't just insulate because the Green Deal says you can!
Pete's on BBC Radio 4 now!
Damp houses and failed Cavity Wall Insulation are becoming big news. Pete recently did an interview on BBC Radio 4 - You and Yours - which investigated a case history of failed cavity wall insulation. You and Yours - Cavity Wall Insulation This is only the tip of the iceberg, in which thousands of homes are becoming wet and cold as a result of sopping wet insulation pumped into cavities which are simply not suitable for insulation. Cavity insulation DOES work, but only in properly designed modern brick wall construction. See our pages on Cavity Insulation for more information.
If you have possible failed Cavity Wall Insulation, please contact us with all the details and we will pass this to the BBC, and other interested bodies so that action can be taken.
And the latest from Jeff Howell at the Telegraph: 3 million homes with failed cavity insulation? Government cover up? Oh come on - the Government doesn't do things like that Jeff!
High Technology and Old Houses
Our new Thermal Imaging Camera - which apart from costing a lot of Pete's hard earned money, is helping us to map dampness in old houses. We can now show thermal images which demonstrate where cold areas are encouraging condensation. We are also studying thermal performance of insulation, and working out how to ensure that houses don't lose heat through 'cold bridging' - gaps in insulation, damp walls, and small holes in the building fabric.
More Happy Clients!
Pete did a building survey on a lovely old farmhouse in Shropshire. Clad in cement render, with injection damp proofing everwhere, it was wet and cold. After showing the owner how it wasn't hard to get it breathing again, imagine Pete's surprise when Stuart's blog appeared. Here's an old house restoration, from the owners viewpoint - it is textbook stuff, and shows how easy it can be... Have a look at the October AND November blogs - great progress, and all with a hammer and chisel..
Old Lawns Farmhouse - The Restoration
And then there's another Shropshire survey:
Andy bought this place, knowing full well that he was heading into a brave new unknown. We found many horrors during the survey, but as he says - it took away the fear, and he knew what he was geting himself in for. Now he's keeping a blog on the restoration. Just have a look at how quickly they are getting on top of it. I hope Andy doesnt mind me quoting a bit of his blog:
Pete turned up in a well abused Discovery with his bonkers companion Soot the Collie, and set about in a manner akin to a man assessing the temperature of a swimming pool before jumping in wandering around all sides of the property to get a feel for how it sat in its location, and what its purpose in the world was.
Over the following 6 hours, Pete paid more attention to the details of the house, it's original Victorian construction, adaptations, and butchering with modern materials than anyone I've ever seen do any job before. No wall was left un-tapped. No carpet left un-lifted. No rafter left un-checked. And no patch of condensation left without tracing its cause. We went in to the drains, the loft, the cupboards and the chimneys. And at every point Pete took his time to explain WHY each problem was occurring and how it should be remedied. This was so much more than the stark white-paper survey that some modern firms would produce. This was a lesson from a man who knows old properties inside-out, and how modern materials can damage the structure in a fundamental way. In my opinion it was worth every penny of the £600 bill.
Stone cottage renovation in Shropshire
And those telephone consultations we do:
"Just had the one hour telephone consultation with Pete and it's probably the best £75 I've ever spent. Pete's advice and information was clear, matter-of-fact and totally impartial . I now feel confident in moving forward with the sympathetic restoration of my Listed 18th century cottage, armed with a treasure trove of ideas and specifications for materials which will banish the damp for good! It's probably saved me a fortune too, as I won't now get ripped off by injection dpc salesmen/dodgy builders with no idea about heritage buildings. Many thanks, Louise."
Have a look at the Testimonials pages for a few more Happy Clients!
And this, which appeared in my inbox just before Christmas, and which made mine ! :
Hi Peter
I have just read your web pages and they are truly fantastic. I have been telling people for years not to use modern building materials when repairing older houses. Your website is so informative, you should receive an award for it. It has given me greater confidence to use lime plaster, mortar and paints to renovate my house.
Thanks once again for your wonderful site.
Yours, Robert Harrison
We've been on BBC Restoration Home ....
Restoration Home - and a little timber frame in Abbey Lane, Southam...


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Children's books, vintage wallpaper, and envelope liners are just some of the many eclectic objects that inspire Margaret McCartney and Stefanie Lynen, the duo behind the children's clothing label Winter Water Factory. Based in Brooklyn, McCartney and Lynen founded their organic apparel line after spending several years working together as holiday décor designers for a large company. In 2005, they rented a studio and began exploring the possibilities of screen-printed fabric. The result: striking prints that perfectly balance bold and whimsical. Winter Water Factory's pure cotton onesies, rompers and other baby clothes come in adorable prints such as owls, flowers, and multi-colored dots; hoodies, pants, and tops fit boys and girls up to size eight. Moms who admire Winter Water Factory's colorful prints are in luck: the label offers a small collection of dresses, shirts, and totes so you can match your little ones. About that weird name: The original "Winterwasserfabrik" was founded in the early 1980s in Eschweiler, Germany, where Lynen and her sister bottled fresh snow and sold it to their parents as "winter water."
Our absolute favorite pieces for the cool-weather season.
Inspired scores, from tropical swim trunks to sporty sneakers and tees
Outfit them in these eco-friendly getups.
Above all, baby clothes need to be soft, and these sweaters, tees, pants, rompers, and more really deliver. Simple details and subtle patterns make them the perfect base for your child's wardrobe.


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I m restoring my websites and i noticed that today someone edited my wp-config.php in a second. But weird part is that my password is changed inside ht wp-config.php and on my mysql server, so this new password is working.
M i hacked, is someone trying to hack me? Or is this some kind of server behavior on godaddy?


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Green Valley Spa
A haven free of the worrisome decisions and admonitions that plague us all in today's uncertain world. So whenever you find yourself feeling listless and tired, overworked, maybe even a little out of sorts — come be a guest at Green Valley Resort & Spa.
A total sensory experience – using the basic senses as a guide to that magical condition of lightness, peace and clarity.
Things to do Near Green Valley Spa
Top things to do
Additional Things To Do


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The social media dads end their engagement.
We know she care!
Hanging Louis Vui-dong.
The Happy Hippie Foundation creator launches an Instagram portrait series to celebrate transgender people.
The growing influence of Instagram gets recognized by the CDFA with the first 'Instagrammer of the Year' award
Here's a quick and easy way to find those auto-follows
The latest on his Instagram account includes a Bat-harness


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Luminescent Bridget Duignan
Although Bridget Duignan is only 15-years old and a freshman at Martin County High School, the folks at the Port Salerno branch of The Boys & Girls Clubs of Martin County (BGCMC) know she's a leader.
Bridget's been a member of the club for four years, when she started coming after school and during the summer at the urging of her parents.
She's been involved in a host of programs and is currently president of the Keystone program, which is the Club's teen program. Bridget runs all the meetings and is involved in fundraising for end-of-summer trips and other BGCMC youth-related events.
Bridget particularly enjoys helping younger Club members, loving to see the twinkle in their eyes when they learn something new and when she can cheer up one who is having a bad day.
Bridget is vice-president of the freshman class at Martin County High School and has given speeches in front of the entire 600-member class.
She brings fundraising ideas she's learned at The Boys & Girls Clubs to her volunteer efforts at the school.
Bridget is very involved at St. Joseph's Catholic Church in Stuart, where she helps with school and church festivals, as well as the Angel Tree program at Christmas.
Speaking of Christmas, when Bridget was four-years old, her dad suggested she take her used toys to Martin Health Systems as she prepared for her new ones, and Bridget hasn't missed a year since.
She volunteers at Habitat for Humanity of Martin County and visits local nursing homes, bringing her sunny smile and upbeat personality with her.
As the candidate from the Port Salerno branch for Boys & Girls Clubs of Martin County 2014 Youth of the Year, Bridget represents high standards of character and leadership.
With hopes of becoming a dentist or orthodontist in the future, preferably at University of Florida, Bridget is taking all AP classes and maintaining a very high GPA.
She also joined the MCHS branch of Health Occupational Students of America, and hopes to be an officer soon.
With her drive and commitment to succeed, I fully expect that someday in the not-so-distant future, I'll be sitting in a dentist chair, hearing her say, "Open wide, please."
Subscribe to TCPalm.com and our Treasure Coast Newspapers
Need Help? Call us at 1-877-710-6180.
Monday-Friday: 6am-3pm / Saturday: 6:30am-10:30am / Sunday: 7am-11am


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Top of the Rock Observation Deck, New York
We've selected the best candid trip photos submitted by our users to help you decide if the Top of the Rock Observation Deck, New York is right for you. Make the most of your next trip to New York City with Viator's exclusive Photo Galleries.
Click here for tour details, schedule and pricing
Looking Down on people looking down from above
October 2014
Sightseers on a lower viewing deck at Rockerfeller Centre.
Central Park as viewed by a bird
October 2014
We were on top of Rockerfeller Centre with dozens of admirers of a leading world city
30 Rock
September 2014
Beautiful view of the skyline
Top of the Rock
September 2014
United Kingdom
Evening view of New York
Vue du Top of the Rock
August 2014
Notre première image de NY dans son ensemble
Selfie on top of the Rock
August 2014
HW and AW
9/11 Memorial
August 2014
We learnt that on the birthday each of the people they place a white rose to mark the occasion and we celebrated the birthday of Christopher P Sullivan. This made a poignant reminder of the atrocity a special memory
Empire State building from Rockafeller Tower
August 2014
Me taking the photo
Top of the Rock
July 2014
Taking a and quot;selfie and quot; from the Top of the Rock Observation Deck
Vue sur l'Empire state
July 2014
photo prise le matin vers 10h30.
c'est le and quot;top of de rock and quot;
July 2014
Vue panoramique sur la ville.
Top of the Rock 2014
July 2014
Lara and Jody Rosato
debut de nuit
June 2014
Le soleil s e.st couché
vue du Top of the Rock
June 2014
Avec temps dégagé..
Top of the rock
May 2014
Great picture of the Empire State Building from the Top of the Rock. You can also see Ellis Island.
April 2014
Looking out over manhattan
April 2014
Top of the rock, looking out over manhattan
New York by night
April 2014
Empire State Building vanop Top of the Rock
vue du haut
April 2014
L'ESB à la nuit tombante
March 2014
Quand la nuit est tombée,le ciel s'est dégagé et l'ESB a mis son habit de lumière.
l'ESB en fin d'après-midi
March 2014
Il commençait à neiger,mais la vue était superbe
view of a lifetime
March 2014
top of the rock valentines day
Top Of The Rock
March 2014
The Empire State Building and Downtown NYC from The Top of The Rock
Blick auf den Central-Park
January 2014
Une des plus belle vue .. Mis à part Central Parc !
January 2014
New York and lt;3


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1858 P1C Indian Cent, Judd-213, Pollock-252, R.6-7, PR63 ...Click the image to load the highest resolution version.
Description1858 P1C Indian Cent, Judd-213, Pollock-252, R.6-7, PR63 PCGS. The obverse design is similar to the regular 1859 Indian Cent, while the reverse design resembles the 1858 Flying Eagle Cent. Judd-213 is broken into four separate issues by Pollock, based upon the position of the wreath tip below the C in CENT and whether the bust tip is rounded or pointed. Pollock-252 is the pointed bust and short wreath tip variant. A boldly struck specimen with milky and bright tan color. A few minor luster grazes in the lower obverse field preclude a higher grade. (NGC ID# 29BV, PCGS# 11897)
Service and Handling Description: Coin/Currency (view shipping information)
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