Multi-view face pose classification by tree-structured classifier

Proceedings - International Conference on Image Processing, ICIP

Volumn 2, Issue , 2005, Pages 358-361

  Yang, Zhiguang ^a   Ai, Haizhou ^a   Okamoto, Takuya ^b   Lao, Shihong ^b  

^a TSINGHUA UNIVERSITY   (China)

^b OMRON CORPORATION   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CAR DRIVERS; FACE POSE CLASSIFICATION; FACE REGION; TREE STRUCTURE;

AUTOMOBILE DRIVERS; CLASSIFICATION (OF INFORMATION); FACE RECOGNITION; IMAGE PROCESSING;

GESTURE RECOGNITION;

EID: 33749621784     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2005.1530066     Document Type: Conference Paper

References (11)

1. S. Baluja, M. Sahami, H. Rowley, Efficient Face Orientation Discrimination, ICIP2004, 589-592.
2. C. HUANG, H. AI, B. WU, S. LAO, Boosting Nested Cascade Detector for Multi-View Face Detection, ICPR2004.
3. X. Liu, Y. Zhu, K. Fujimura, Real time Pose Classification for driver monitoring. In Proc. of IEEE 5th Inter. Conf. on Intelligent Transportation Systems, 2002, 174-178
4. Q. Liu, Y. Rui, A. Gupta and JJ Cadiz, Automating Camera Management for Lecture Room Environment. In: ACM CHI, 2000.
5. A. Pentland, B. Moghaddam and T. Starner, View-Based and Modular Eigenspaces for Face Recognition, CVPR 1994.
6. M. LaCascia, S. Sclaroff, and V. Athitsos. Fast, reliable head tracking under varying illumination: An approach based on registration of textured-mapped 3D models. PAMI, 22(4):322-336, 2000.
7. J. Ng and S. Gong. Composite support vector machines for detection of faces across views and pose estimation. Image and Vision Computing, 20:359-368, 2002.
8. V. Krueger and G. Sommer, Wavelet Networks for Face Processing, Journal of the Optical Society of America, 2002
9. H. Moon and M.L. Miller, Estimating facial pose from a sparse representation, ICIP2004.
10. S.Z. Li, X. Peng, X. Hou, H. Zhang, Qiansheng Cheng, Multi-View Face Pose Estimation Based on Supervised ISA Learning, FG2002.
11. R. E. Schapire and Y. Singer, Improved Boosting Algorithms Using Confidence-rated Predictions. Machine Learning, 37, 1999, 297-336