Discriminant Waveletfaces and Nearest Feature Classifiers for Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Effective Implementation of Linear Discriminant Analysis for Face Recognition and Verification
CAIP '99 Proceedings of the 8th International Conference on Computer Analysis of Images and Patterns
Discriminant Analysis of Stochastic Models and Its Application to Face Recognition
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
Combination of Fisher scores and appearance based features for face recognition
WBMA '03 Proceedings of the 2003 ACM SIGMM workshop on Biometrics methods and applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Matching in Large Database by Self-Organizing Maps
Neural Processing Letters
Face recognition using multi-feature and radial basis function network
VIP '02 Selected papers from the 2002 Pan-Sydney workshop on Visualisation - Volume 22
Real-time Stereo Face Recognition by Fusing Appearance and Depth Fisherfaces
Journal of VLSI Signal Processing Systems
Face Recognition under Variant Illumination Using PCA and Wavelets
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
Face recognition based on multi-class mapping of Fisher scores
Pattern Recognition
Face tracking and recognition from stereo sequence
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Perfect histogram matching PCA for face recognition
Multidimensional Systems and Signal Processing
Performance analysis of subspace LDA approach for face recognition
TELE-INFO'10 Proceedings of the 9th WSEAS international conference on Telecommunications and informatics
Push-Pull marginal discriminant analysis for feature extraction
Pattern Recognition Letters
Bayesian face recognition using support vector machine and face clustering
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Boosting statistical local feature based classifiers for face recognition
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
Boosting local binary pattern (LBP)-Based face recognition
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
Recent advances in subspace analysis for face recognition
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
| Hi-index | 0.00 |
The discriminatory power of different segments of a human face is studied end a new scheme for face recognition is proposed. We first focus on the linear discriminant analysis (LDA) of human faces in spatial and wavelet domains, which enables us to objectively evaluate the significant of visual information in different parts of the face for identifying the person. The results of this study can be compared with subjective psychovisual findings. The LDA of faces also provides us with a small set of features that carry the most relevant information for face recognition. The features are obtained through the eigenvector analysis of scatter matrices with the objective of maximizing between class variations and minimizing within class variations. The result is an efficient projection based feature extraction and classification scheme for recognition of human faces. For a midsize database of faces excellent classification accuracy is achieved with only four features.