Human facial expression recognition based on learning subspace method

IEEE International Conference on Multi-Media and Expo

Volumn , Issue I/MONDAY, 2000, Pages 403-406

  Chen, X ^a   Kwong, S ^a   Lu, Y ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; IMAGE ANALYSIS; MATHEMATICAL MODELS; RANDOM PROCESSES;

LEARNING SUBSPACE METHOD (LSM);

GESTURE RECOGNITION;

EID: 0034509754     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Facial expression recognition using a dynamic model and motion energy
2. Tracking and recognizing rigid and non-rigid facial motions using local parametric models of image motions
3. Recognizing human facial expression from long image sequences using optical-flow
4. Eigenfaces for recognition
5. A thousand-word recognition system based on learning subspace method and redundant hash addressing
6. An analysis of convergence for a learning version of the subspace method