Recent advances in visual and infrared face recognition: a review
Computer Vision and Image Understanding
A Video Database of Moving Faces and People
IEEE Transactions on Pattern Analysis and Machine Intelligence
Removing Pose from Face Images
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
A multimodal approach for 3D face modeling and recognition using 3D deformable facial mask
Machine Vision and Applications
IEEE Transactions on Circuits and Systems for Video Technology
Depth estimation of face images based on the constrained ICA model
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
Face transformation with harmonic models by the finite-volume method with delaunay triangulation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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We describe a novel approach for creating a three-dimensional (3-D) face structure from multiple image views of a human face taken at a priori unknown poses by appropriately morphing a generic 3-D face. A cubic explicit polynomial in 3-D is used to morph a generic face into the specific face structure. The 3-D face structure allows for accurate pose estimation as well as the synthesis of virtual images to be matched with a test image for face identification. The estimation of a 3-D person's face and pose estimation is achieved through the use of a distance map metric. This distance map residual error (geometric-based face classifier) and the image intensity residual error are fused in identifying a person in the database from one or more arbitrary image view(s). Experimental results are shown on simulated data in the presence of noise, as well as for images of real faces, and promising results are obtained.