Support vector machines for face recognition

Image and Vision Computing

Volumn 19, Issue 9-10, 2001, Pages 631-638

  Guo, Guodong ^a,b   Li, Stan Z ^a   Chan, Kap Luk ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b MICROSOFT RESEARCH ASIA   (China)

Author keywords

Binary tree; Eigenfaces; Face recognition; Learning networks; Optimal separating hyperplane; Support vector machines

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; FACE RECOGNITION; IMAGE ANALYSIS; LEARNING SYSTEMS; NEURAL NETWORKS; TREES (MATHEMATICS); VECTORS;

SUPPORT VECTOR MACHINES (SVM);

OBJECT RECOGNITION;

EID: 0035419334     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0262-8856(01)00046-4     Document Type: Article

References (21)

1. Face recognition: Features versus templates
2. Human and machine recognition of faces: A survey
3. Support vector networks
4. Feature-based face recognition using mixture-distance
5. Identification of human faces
6. Distortion invariant object recognition in the dynamic link architecture
7. Face recognition: A convolutional neural network approach
8. Face recognition using the nearest feature line method
9. Visual learning and recognition of 3D objects from appearance
10. Face recognition: The problem of compensating for changes in illumination direction
11. Training support vector machines: An application to face detection
12. Support vector machines for 3-D object recogniton
13. Automatic recognition and analysis of human faces and facial expressions: A survey
14. Parameterization of a stochastic model for human face identification
15. Low-dimensional procedure for the characterization of human faces
16. Eigenfaces for recognition
17. Connectionist models of face processing: A survey