Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition from Long-Term Observations
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Face Recognition Using Temporal Image Sequence
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Comparative Evaluation of Face Sequence Matching for Content-Based Video Access
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Nonparametric discriminant analysis and nearest neighbor classification
Pattern Recognition Letters
Probabilistic recognition of human faces from video
Computer Vision and Image Understanding - Special issue on Face recognition
Learning over sets using kernel principal angles
The Journal of Machine Learning Research
Robust Real-Time Face Detection
International Journal of Computer Vision
The Amsterdam Library of Object Images
International Journal of Computer Vision
Face Recognition with Image Sets Using Manifold Density Divergence
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Video-based face recognition using probabilistic appearance manifolds
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Boosted manifold principal angles for image set-based recognition
Pattern Recognition
Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual inference of human emotion and behaviour
Proceedings of the 9th international conference on Multimodal interfaces
Fusing gait and face cues for human gender recognition
Neurocomputing
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume part II
Multi-view discriminant analysis
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Regularized latent least square regression for cross pose face recognition
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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We address the problem of comparing sets of images for object recognition, where the sets may represent arbitrary variations in an object's appearance due to changing camera pose and lighting conditions. The concept of Canonical Correlations (also known as principal angles) can be viewed as the angles between two subspaces. As a way of comparing sets of vectors or images, canonical correlations offer many benefits in accuracy, efficiency, and robustness compared to the classical parametric distribution-based and non-parametric sample-based methods. Here, this is demonstrated experimentally for reasonably sized data sets using existing methods exploiting canonical correlations. Motivated by their proven effectiveness, a novel discriminative learning over sets is proposed for object recognition. Specifically, inspired by classical Linear Discriminant Analysis (LDA), we develop a linear discriminant function that maximizes the canonical correlations of within-class sets and minimizes the canonical correlations of between-class sets. The proposed method significantly outperforms the state-of-the-art methods on two different object recognition problems using face image sets with arbitrary motion captured under different illuminations and image sets of five hundred general object categories taken at different views.