Face recognition is to identify or verify one or more persons in the given still or video images of a scene using a stored database of faces. Face recognition system consists of two stages; they are face detection and the face identification. In the face detection stage, facial images are localized in an input image. In the face ID stage, the localized faces are identified as individuals registered in the system.
It is very difficult for even humans to recognize faces correctly when the illumination varies severely. A common solution to handling pose variations in face recognition is the view-based method. The images of the same view are used to construct an Eigen space representation for each view. The view-specific representations are then used for recognizing a person in different poses. Recently, there has been growing interest in face recognition from sets of images.
Recently face recognition using image-set or video sequence has attracted more and more attention within computer vision and pattern recognition community. Compared with single snapshot, a set or a sequence of images provides much more information about the variation in the appearance of the target subject.
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