Sciweavers

Share
ICPR
2006
IEEE

Enhancing Training Set for Face Detection

12 years 9 months ago
Enhancing Training Set for Face Detection
We present a novel method to enhance training set for face detection with nonlinearly generated examples from the original data. The motivation is from Support Vector Machines (SVM) that, for classification problems, examples lying close to class boundary usually have more influence and thus are more informative than those far from the boundary. We utilize a nonlinear technique -- reduced set (RS) method and a new image distance metric to generate new examples, and then add them to the original collected database to enhance it. Extensive experiments show that the proposed approach has an encouraging performance.
Ruiping Wang, Jie Chen, Shiguang Shan, Wen Gao
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2006
Where ICPR
Authors Ruiping Wang, Jie Chen, Shiguang Shan, Wen Gao
Comments (0)
books