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
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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||