Fast rotation invariant multi-View face detection based on real adaboost

Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition

Volumn , Issue , 2004, Pages 79-84

  Wu, Bo ^a   Ai, Haizhou ^a   Huang, Chang ^a   Lao, Shihong ^b  

^a TSINGHUA UNIVERSITY   (China)

^b OMRON CORPORATION   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

LOOK UP TABLES (LUT); MULTI-VIEW FACE DETECTION (MVFD); REAL ADABOOST ALGORITHM;

ADAPTIVE ALGORITHMS; BOOLEAN ALGEBRA; CLASSIFICATION (OF INFORMATION); COMPUTATIONAL COMPLEXITY; DECISION THEORY; FEATURE EXTRACTION; FUNCTIONS;

FACE RECOGNITION;

EID: 4544255195     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1300/J083v43n02_06     Document Type: Conference Paper

References (14)

1. R. E. Schapire and Y. Singer, "Improved Boosting Algorithms Using Confidence-rated Predictions", Machine Learning, 37, 1999, 297-336.
2. P. Viola, M. Jones, "Rapid Object Detection using a Boosted Cascade of Simple Features", In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, Kauai, Hawaii, USA, 2001.
3. H. A. Rowley, "Neural Network-based Human Face Detection", Ph.D. thesis, Carnegie Mellon University, May 1999.
4. Shihong Lao, Toshiyuki Kozuru, et al., "A fast 360-degree rotation invariant face detection system", in ICCV2003 Demo program.
5. S. Z. Li, L. Zhu, Z. Q. Zhang, et al., "Statistical Learning of Multi-View Face Detection". In Proceedings of the 7th European Conference on Computer Vision. Copenhagen, Denmark. May, 2002.
6. H. Schneiderman and T. Kanade, "A Statistical Method for 3D Object Detection Applied to Faces and Cars". In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, Hilton Head Island, South Carolina, USA, 2000.
7. Y. Freund and R. E. Schapire, "Experiments with a New Boosting Algorithm". In Proc. of the 13-th Conf. on Machine Learning, Morgan Kaufmann, 1996, 148-156.
8. Rong Xiao, Long Zhu, Hongjiang Zhang, Boosting Chain Learning for Object Detection, ICCV 2003, 709-715.
9. B. Moghaddam and A. Pentlan, "Beyond Linear Eigenspaces: Bayesian Matching for Face Recognition", Face Recognition from Theory to Application, edited by H. Wechsler et al. Springer 1998, 230-243.
10. R. Feraud, O.J. Bernier, Jean-Emmanuel Viallet, and Michel Collobert, "A Fast and Accurate Face Detector Based on Neural Networks", IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 23, No. 1, 2001, 42-53.
11. E. Osuna, R. Freund and F. Girosi, "Training Support Vector Machines: an Application to Face Detection", In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, Puerto Rico, 1997.
12. V. P. Kumar and T. Poggio. "Learning-Based Approach to Real Time Tracking and Analysis of Faces", MIT A.I. Memo No. 1672, Sept, 1999.
13. Y. Li, S. Gong, and H. Liddell. "Support Vector Regression and Classification based multi-view Face Detection and Recognition". In IEEE Conf. on Automatic Face and Gesture Recognition, March 2000.
14. R.E. Schapire, Y. Freund, P. Bartlett and W.S. Lee, "Boosting the margin: A new explanation for the effectiveness of voting methods", The Annals of Statistics, 26(5), 1998, 1651-1686.