Research Initiation:  Stereo Matching Using Topographic     Structures
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{'SignBlockName': 'Michelle Dunn', 'PO_EMAI': None, 'PO_PHON': None}
Three-dimensional positions of the visible surfaces in stereo images            can be determined by simple trigonometric transformation once the               stereo matching problem is solved.  Most existing stereo matching               methods involve matching low-level image features such as edges.  This          research describes an improved stereo matching procedure based on               matching high-level image features.  New techniques for extracting              high-level image features will be explored with the aim of extracting a         rich symbolic representation of the gray intensity changes in an image.         Methods will be developed for determining correspondences between the           extracted image features in the stereo images.  The goal is to develop          algorithms for generating full disparity maps for stereo images.
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{'Name': 'University of Minnesota Saint Paul', 'CityName': 'Minneapolis', 'ZipCode': '554552000', 'PhoneNumber': '6126252435', 'StreetAddress': '450 University Gateway', 'StreetAddress2': '200 Oak Street SE', 'CountryName': 'United States', 'StateName': 'Minnesota', 'StateCode': 'MN', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'MN05', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}
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{'Code': '1459', 'Text': 'COMMUNICATIONS SYSTEMS'}
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