Face Identification
نویسنده
چکیده
Motivation: The development of automatic visual surveillance system is a popular research topic in computer vision. Current systems for face detection and identification are primarily based on classifying frontal views of faces, assuming that the person is looking straight into the camera. The frontal face recognition approach is adequate in access control applications where the user is consistent from session to session, e.g. accessing a personal laptop or a cellular phone. However, in surveillance applications where the user is often not aware of the task, it is important for the system to handle faces rotated in depth.
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