Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Multilinear Singular Value Decomposition
SIAM Journal on Matrix Analysis and Applications
From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
IEEE Transactions on Pattern Analysis and Machine Intelligence
Manifold Pursuit: A New Approach to Appearance Based Recognition
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Face Recognition Using Laplacianfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neighborhood Preserving Embedding
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Multi-Modal Tensor Face for Simultaneous Super-Resolution and Recognition
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Document Clustering Using Locality Preserving Indexing
IEEE Transactions on Knowledge and Data Engineering
A tutorial on spectral clustering
Statistics and Computing
Journal of Cognitive Neuroscience
SRDA: An Efficient Algorithm for Large-Scale Discriminant Analysis
IEEE Transactions on Knowledge and Data Engineering
Spectral regression: a regression framework for efficient regularized subspace learning
Spectral regression: a regression framework for efficient regularized subspace learning
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
Unsupervised learning of image manifolds by semidefinite programming
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Video-based face recognition using probabilistic appearance manifolds
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Human Age Estimation With Regression on Discriminative Aging Manifold
IEEE Transactions on Multimedia
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Orthogonal Laplacianfaces for Face Recognition
IEEE Transactions on Image Processing
M-Face: An Appearance-Based Photorealistic Model for Multiple Facial Attributes Rendering
IEEE Transactions on Circuits and Systems for Video Technology
Robust Tensor Analysis With L1-Norm
IEEE Transactions on Circuits and Systems for Video Technology
Face recognition with enhanced local directional patterns
Neurocomputing
Face recognition using Weber local descriptors
Neurocomputing
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For face recognition, traditional appearance-based methods represented raw face images as vectors and employed dimensionality reduction techniques to capture the structure of the face space. The tensor subspace analysis (TSA) algorithm uses second order tensor to represent face images and assumes the face images reside on or close to a submanifold embedded in the tensor space. The effectiveness of TSA has been demonstrated. However, TSA is time consuming since it needs to solve a series of eigen-problems. In this paper we propose a novel efficient appearance-based face recognition method called tensor subspace regression (TSR). Like TSA, we also represent face images in tensor spaces. The difference is that we cast the facial subspace learning (i.e. dimensionality reduction) problem in a regression framework which avoids the high computational eigen-step. We show the efficiency of our algorithm by analytically and empirically comparing it with TSA. Finally, experimental results on three popular facial databases show that our algorithm can also achieve acceptable performance for face classification and clustering.