Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Toward Automatic Simulation of Aging Effects on Face Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unified model in identity subspace for face recognition
Journal of Computer Science and Technology - Special issue on computer graphics and computer-aided design
Hypotheses-driven affine invariant localization of faces in verification systems
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
An evaluation of video-to-video face verification
IEEE Transactions on Information Forensics and Security
Classification of face images for gender, age, facial expression, and identity
ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
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We address the problem of robust face identification in the presence of pose, lighting, and expression variation. Previous approaches to the problem have assumed similar models of variation for each individual, estimated from pooled training data. We describe a method of updating a first order global estimate of identity by learning the class-specific correlation between the estimate and the residual variation during a sequence. This is integrated with an optimal tracking scheme, in which identity variation is decoupled from pose, lighting and expression variation. The method results in robust tracking and a more stable estimate of facial identity under changing conditions.