Multi-view face detection under complex scene based on combined SVMs

Proceedings - International Conference on Pattern Recognition

Volumn 4, Issue , 2004, Pages 179-182

  Wang, Peng ^a   Ji, Qiang ^a  

^a RENSSELAER POLYTECHNIC INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FACE COMPONENTS; FACE DETECTION; FACE PATTERNS; SUPPORT VECTOR MACHINES (SVM);

ALGORITHMS; IMAGE ANALYSIS; LIGHTING; OPTIMIZATION; SKIN; STATISTICAL METHODS;

FACE RECOGNITION;

EID: 10044276703     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2004.1333733     Document Type: Conference Paper

References (15)

1. L. Buciu, C. Kotropoulos, and I. Pitas. Combining support vector machines for accurate face detection. ICIP 2001, 1:1054-1057, 2001.
2. C. Cortes and V. Vapnik. Support-vector networks. Machine Learning, 20(3).
3. B. Draper and K. Baek. Bagging in computer vision. CVPR, pages 144-149, 1998.
4. J. L. Jiang and K.-F. Loe. S-adaboost and pattern detection in complex enviroment. CVPR, 1:413-418, 2003.
5. H.-C. Kim, S. Pang, H.-M. Je, D. Kim, and S. Y. Bang. Pattern classification using support vector machine ensemble. ICPR, 2:160-163, 2002.
6. Y. Li, S. Gong, and H. Liddell. Support vector regression and classification based multi-view face detection and recognition. In Automatic Face and Gesture Recognition, IEEE International Conference on, pages 300-305, 2000.
7. C. Liu. A bayesian discriminating features method for face detection. IEEE Trans. on Pattern Analysis and Machine Intelligence, 25(6):725-740, 2003.
8. E. Osuna, R. Freund, and F. Girosi. Training support vector machines:an application to face detection. CVPR, pages 130-136, 1997.
9. H. Sahbi and N. Boujemaa. Coarse-to-fine support vector classifiers for face detection. ICPR, 3:359-362, 2002.
10. R. Schapire. A brief introduction to boosting. Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999.
11. H. Schneiderman and T. Kanade. A statistical method for 3d object detection applied to faces and cars. CVPR, 1:746-751, 2000.
12. K.-K. Sung and T. Poggio. Example-based learning for view based human face detection. IEEE Trans. on Pattern Analysis and Machine Intelligence, 20(1):39-51, 1998.
13. R. C. Verma, C. Schmid, and K. Mikolajcayk. Face detection and tracking in a video by propagating detection probabilities. IEEE Trans. on Pattern Analysis and Machine Intelligence, 25(10):1216-1228, 2003.
14. P. Viola and M. Jones. Robust real-time object detection. ICCV, pages 747-747, 2001.
15. M.-H. Yang, D. J. Kriegman, and N. Ahuja. Detecting faces in images: A survey. IEEE Trans. on Pattern Analysis and Machine Intelligence, 24(1):34-58, 2002.