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Survey on skin based face detection on different illumination, poses and occlusion

Face detection is used to locate and as well as identify the human faces in the image or video in different illumination, pose, orientation, in-plane rotation, position. Since face is the centre of attraction in video and images, it is used in several applications such as security, retrieval, video compression, recognition technology. Face detection is having a high degree of variance in its appearance which makes difficult problem in computer vision. Most of the images or videos are corrupted, hence a complete study of face detection based on skin is required. This paper presents a comparison on different methods used to detect the face for different illumination, pose and occlusion on skin based. By reviewing existing algorithms better algorithms can be developed for computer vision problems.