Multi-view face detection with FloatBoost

Proceedings of IEEE Workshop on Applications of Computer Vision

Volumn 2002-January, Issue , 2002, Pages 184-188

  Zhang, ZhenQiu ^a   Li, MingJing ^b   Li, S Z ^b   Zhang, HongJiang ^b  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b MICROSOFT RESEARCH ASIA   (China)

Author keywords

Asia; Boosting; Computational efficiency; Detectors; Face detection; Feature extraction; Image sequences; Real time systems; Search methods; Statistics

Indexed keywords

ADAPTIVE BOOSTING; ALGORITHMS; COMPUTATIONAL EFFICIENCY; COMPUTER VISION; DETECTORS; FEATURE EXTRACTION; IMAGE PROCESSING; INTERACTIVE COMPUTER SYSTEMS; REAL TIME SYSTEMS; SEARCH ENGINES; STATISTICS;

ASIA; BOOSTING; BOOSTING ALGORITHM; CLASSIFICATION ACCURACY; IMAGE SEQUENCE; MULTI-VIEW FACE DETECTION; NONFACE CLASSIFIER; SEARCH METHOD;

FACE RECOGNITION;

EID: 48149107094     PISSN: 21583978     EISSN: 21583986     Source Type: Conference Proceeding    
DOI: 10.1109/ACV.2002.1182179     Document Type: Conference Paper

References (15)

1. M. Bichsel and A. P. Pentland. Human face recognition and the face image set's topology. In Image Understanding, Volume 59, pages 254-261, 1994.
2. Pudil, P., Novovicova, J., Kittler, J. "Floating search methods in feature selection." Pattern Recognition Letters 15 (1994) 1119-1125.
3. P.Somol, P.Pudil, J.Novovicova, P.Paclik. "Adaptive floating search methods in feature selection". Pattern Recognition Letters 20(1999) 1157-1163.
4. Stan Li, Long Zhu, Zhenqiu Zhang, HongJiang Zhang. "Statistical Learning of Multi-View Face Detection". ECCV 2002.
5. Zhenqiu Zhang, Long Zhu, Stan Li, HongJiang Zhang. "Real-Time Multi-View Face Detection". FG 2002.
6. P. Viola and M.J. Jones, "Robust real-time object detection", Technical Report Series, Compaq Cambridge Research Laboratory, CRL 2001/01, Feb.2001
7. Yoav Freund and Robert E. Schapire. A decision-theoretic generalization of online learning and an application to boosting. In computation Learning Theory: Eurocolt'95, pages 23-37, Springer-Verlag, 1995.
8. J. Feraud, O. Bernier, and M. collobert. " A fast and accurate face detector for indexation of face images". In Proc. Fourth IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pages 52-59, 1998.
9. L. Wiskott, J. Fellous, N. Kruger, and C. V. malsburg. "face recognition by elastic bunch graph matching". IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(7):775-779, 1997.
10. S.Gong, S.McKenna, and J.Collins.An investigation into face pose distribution. In Proc. IEEE International Conference on Face and Gesture Recognition, Vermont, 1996.
11. J. Huang, X. Shao, and H. Wechsler. "Face pose discrimination using support vector machines(SVM)". In Proceedings of International Conference Pattern Recognition, Brisbane, Queensland, Australia, 1998.
12. A. P. Pentland, B. M oghaddam and T. Starner. View-based and modular eigensapces for face recognition. In CVPR, pages 84-91, 1994.
13. H.Schneiderman and T.Kanade. A statistical method for 3d object detection applied to faces and cars. In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2000.
14. Friedman, J., Hastie, T., Tibshirani, R. Additive logistic regression: a statistical view of boosting. Technical report, Department of Stastics, Sequoia Hall, Stanford Univerity (1998).
15. Robert E. Schapire and Yoram Singer. Improved boosting algorithms using confidence-rated predictions. Machine Learning, 37(3):297-336, December 1999.