Pairwise face recognition

Proceedings of the IEEE International Conference on Computer Vision

Volumn 2, Issue , 2001, Pages 282-287

  Guo, G D ^a   Zhang, H J ^a   Li, S Z ^a  

^a MICROSOFT RESEARCH ASIA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; FEATURE EXTRACTION; IMAGE ANALYSIS; KNOWLEDGE REPRESENTATION; OBJECT RECOGNITION; PRINCIPAL COMPONENT ANALYSIS;

BAYES CLASSIFIER; IDENTITY AUTHENTICATION;

FACE RECOGNITION;

EID: 0034844789     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (26)

1. Independent component representations for face recognition
2. Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection
3. Independent component analysis - A new concept?
4. A decision-theoretic generalization of online learning and an application to boosting
5. Another approach to polychotomous classification
6. Classification by pairwise coupling
7. Feature selection: Evaluation, application, and small sample performance
8. Nonlinear principal components analysis using autoassociative neural networks
9. A bayesian pairwise classifier for character recognition
10. Probablistic reasoning models for face recognition
11. Robust coding scheme for indexing and retrieval from large face database
12. Fisher discriminant analysis with kernels
13. Principal manifolds and bayesian subspaces for visual recognition
14. Floating search methods in feature selection
15. Human and machine recognition of faces: A survey
16. Automatic recognition and analysis of human faces and facial expressions: A survey
17. Face recognition using hidden markov models
18. Kernel pca pattern reconstruction via approximate pre-images
19. Low-dimensional procedure for the characterization of human faces
20. Boosting image retrieval
21. Eigenfaces for recognition
22. Connectionist models of face processing: A survey