Description and retrieval of 3D face models using iso-geodesic stripes
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Expression-invariant face recognition with constrained optical flow warping
IEEE Transactions on Multimedia
3D face recognition by modeling the arrangement of concave and convex regions
AMR'06 Proceedings of the 4th international conference on Adaptive multimedia retrieval: user, context, and feedback
Face recognition by matching 2D and 3D geodesic distances
MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
Face recognition by SVMs classification and manifold learning of 2D and 3D radial geodesic distances
EG 3DOR'08 Proceedings of the 1st Eurographics conference on 3D Object Retrieval
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Face recognition in video has gained wide attention as a covert method for surveillance to enhance security in a variety of application domains (e.g., airports). A video contains temporal information as well as multiple instances of a face, so it is expected to lead to better face recognition performance compared to still face images. However, faces appearing in a video have substantial variations in pose and lighting. These pose and lighting variations can be effectively modeled using 3D face models. Combining the advantages of 2D video and 3D face models, we propose a face recognition system that identifies faces in a video. Thesystem utilizes the rich information in a video and overcomes the pose and lighting variations using 3D face model. The description of the proposed method and preliminary results are provided.