Toward Pose-Invariant 2-D Face Recognition Through Point Distribution Models and Facial Symmetry

IEEE Transactions on Information Forensics and Security, pp. 413-429, 2007.

Cited by: 124|Views16


This paper proposes novel ways to deal with pose variations in a 2-D face recognition scenario. Using a training set of sparse face meshes, we built a point distribution model and identified the parameters which are responsible for controlling the apparent changes in shape due to turning and nodding the head, namely the pose parameters. B...More



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