Constructing facial identity surfaces in a nonlinear discriminating space

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 2, Issue , 2001, Pages

  Li, Yongmin ^a   Gong, Shaogang ^a   Liddell, Heather ^a  

^a QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; IMAGE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS;

LINEAR DISCRIMINANT ANALYSIS (LDA);

FACE RECOGNITION;

EID: 0035687921     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. Generalized discriminant analysis using a kernel approach
2. Comparisons between human and computer recognition of faces
3. Active appearance models
4. Active shape models - Their training and application
5. Learning to identify and track faces in sequences
6. Tracking and recognition of face sequences
7. The role of movement in face recognition
8. Distortion invariant object recognition in the dynamic link architecture
9. Constructing structures of facial identities using Kernel Discriminant Analysis
10. Modelling faces dynamically across views and over time
11. Fisher discriminant analysis with kernels
12. On utilising template and feature-based correspondence in multi-view appearance models
13. Kernel principal component analysis
14. Low-dimensional procedure for the characterization of human faces
15. Using discriminant eigenfeatures for image retrieval
16. Eigenfaces for recognition
17. Linear object classes and image synthesis from a single example image