EM algorithms for PCA and SPCA
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
The Quotient Image: Class-Based Re-Rendering and Recognition with Varying Illuminations
IEEE Transactions on Pattern Analysis and Machine Intelligence
From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
IEEE Transactions on Pattern Analysis and Machine Intelligence
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Coding Facial Expressions with Gabor Wavelets
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Eigen Light-Fields and Face Recognition Across Pose
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Rank Constrained Recognition under Unknown Illuminations
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition Using Laplacianfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Acquiring Linear Subspaces for Face Recognition under Variable Lighting
IEEE Transactions on Pattern Analysis and Machine Intelligence
Riemannian geometry and statistical machine learning
Riemannian geometry and statistical machine learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tied Factor Analysis for Face Recognition across Large Pose Differences
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Face Recognition via Sparse Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Probabilistic learning for fully automatic face recognition across pose
Image and Vision Computing
Illuminating light field: image-based face recognition across illuminations and poses
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Probabilistic Models for Inference about Identity
IEEE Transactions on Pattern Analysis and Machine Intelligence
Probabilistic linear discriminant analysis
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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We propose a class dependent factor analysis model (CDFA) which can be used in the general face recognition task under certain variations. The model utilizes the class information in a supervised manner to define a separate manifold for each class. Inside each manifold, a mixture of Gaussians is designated to handle the variation. The proposed model learns the system parameters in a probabilistic framework, allowing a Bayesian decision model. A manifold embedding technique is incorporated to handle the nonlinearity introduced by the variation; hence, a novel connection between manifold learning and probabilistic generative models is proposed. CDFA has better recognition accuracy and scalability over a classical factor analysis model. Experimental evaluations on the face recognition under changing illumination conditions and facial expressions indicate the ability of the proposed model to handle different types of variation. The achieved recognition rates are comparable to the state-of-art results, while it is also shown that the recognition rate does not decrease critically as the number of gallery identities increases.