loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
16th International Conference on Pattern Recognition (ICPR'02) - Volume 1
A Subspace Approach to Face Detection with Support Vector Machines
Quebec City, QC, Canada
August 11-August 15
ISBN: 0-7695-1695-X
Haizhou Ai, Tsinghua University
Lihang Ying, Tsinghua University
Guangyou Xu, Tsinghua University
We present a subspace approach to face detection with Support Vector Machine (SVMs). A linear SVM classifier is trained as a filter to produce a subspace in which a non-linear SVM classifier with Gaussian kernel is trained for face detection. This makes training easier and results in a very efficient face detection algorithm. Experimental results demonstrate their promising performance compared with some well-known existing detectors.
Citation:
Haizhou Ai, Lihang Ying, Guangyou Xu, "A Subspace Approach to Face Detection with Support Vector Machines," icpr, vol. 1, pp.10045, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 1, 2002
Usage of this product signifies your acceptance of the Terms of Use.