Monte Carlo methods. Vol. 1: basics
Monte Carlo methods. Vol. 1: basics
Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
The FERET Evaluation Methodology for Face-Recognition Algorithms
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Manifold Caricatures: on the Psychological Consistency of Computer Face Recognition
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
Discriminant Analysis of Principal Components for Face Recognition
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Journal of Cognitive Neuroscience
Face Recognition Based on Local Fisher Features
ICMI '00 Proceedings of the Third International Conference on Advances in Multimodal Interfaces
Unsupervised clustering of dominant scenes in sports video
Pattern Recognition Letters
A Unified Framework for Subspace Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Gradient Linear Discriminant Analysis for Small Sample Sized Problem
Neural Processing Letters
Development of a humanoid robot for emotion recognition
CIMMACS'06 Proceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics
Real-Time Body Pose Recognition Using 2D or 3D Haarlets
International Journal of Computer Vision
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
Compact Signatures for 3D Face Recognition under Varying Expressions
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Audio-guided video-based face recognition
IEEE Transactions on Circuits and Systems for Video Technology
A novel Bayesian logistic discriminant model: An application to face recognition
Pattern Recognition
Frame synchronization and multi-level subspace analysis for video based face recognition
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Video based face recognition using multiple classifiers
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Gabor feature based face recognition using supervised locality preserving projection
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
PCA and LDA based face recognition using feedforward neural network classifier
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
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In face recognition literature, holistic template matching systems and geometrical local feature based systems have. been pursued. In the holistic approach, PCA (Principal Component Analysis) and LDA (Linear Discriminant Analysis) are popular ones. More recently, the combination of PCA and LDA has been proposed as a superior alternative over pure PCA. and LDA. In this paper, we illustrate the rationales behind these methods and the pros and cons of applying them to pattern classification task. A theoretical performance analysis of LDA suggests applying LDA over the principal components from the original signal space or the subspace. The improved performance of this combined approach is demonstrated through experiments conducted on both simulated data and real data.