A Fast Method for Face Detection Based on PCA and SVM |
Xia, Chun-Lei
(경상대학교 컴퓨터과학과)
Shin, Hyeon-Gab (경상대학교 컴퓨터과학과) Park, Myeong-Chul (경상대학교 컴퓨터과학과) Ha, Seok-Wun (경상대학교 컴퓨터과학과) |
1 | Lindsay I Smith 'A tutorial on Principal Components Analysis', http://www.cs.otago.ac.nz/cosc453/student_tutorials/principal_components.pdf, Feb. 2002 |
2 | Christopher J.C. Burges, A Tutorial on Support Vector Machines for Pattern Recognition, 1998 |
3 | C. Papageorgiou, T. Poggio 'A Trainable System for Object Detection', International Journal of Computer Vision, Volume 38, Issue 1, Jun. 2000 |
4 | B. Heisele, T. Poggio, Massimiliano Pontil 'Face Detection in Still Gray Images', AI Memo 1687, Massachusetts Institute of Technology, 2000 |
5 | Rafael C. Gonzalez, Richard E. Woods 'Digital Image Processing (Second Edition)', Prentice Hall, 2002 |
6 | E. Osuna, R. Freund, F. Girosi 'Training Support Vector Machines: An Application to Face Detection,' Proceedings IEEE Conference Computer Vision and Pattern Recognition, 1997 |
7 | Ming-Hsuan Yang, David J. Kriegman, Narendra Ahuja 'Detecting Faces in Images: A Survey', IEEE Transactions on Pattern Analysis and Machine Intelligence, Jan. 2002 |
8 | Clyde Shavers, Robert Li, Gary Lebby 'An SVM-based Approach to Face Detection', Proceedings of the 38th Southeastern Symposium on System Theory Tennessee Technological University, Mar. 2006 |