3d Face Recognition by Point Signatures and Iso-contours
نویسندگان
چکیده
The paper addresses the problem of face recognition from range images. A novel technique based on matching of level contours is proposed and compared with a variant of the point signatures algorithm. Their efficiency is investigated on conditions of changes in expression and pose, and presence of glasses. Using a large database of range images, comparative experimental results are presented, showing that iso-contours outperform point signatures both in computational efficiency and in recognition rates.
منابع مشابه
3d Face Recognition from Range Image
MIAO, SHUN. 3D Face Recognition From Range Image. (Under the direction of Professor Hamid Krim). In this thesis, we explore the statistical and geometrical behavior of the uncontrolled parameters of a human face, including both the rigid transform caused by a head pose and the non-rigid transform caused by a facial expression. We focus on developing a 3D facial recognition scheme which is robus...
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