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Proceedings Paper

Eye detection system based on SVM filter
Author(s): Gang Pan; Weixun Lin; Zhaohui Wu; Yingchun Yang
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Paper Abstract

Eye detection is one ofthe principal tasks in face analysis. The eye location is very helpful in many applications. This paper regards eye detection as two-class problem and employs SVM filter for finding the eye locations. Unlike other eye detection methods, we do not exploit any of explicit feature extraction approaches. Instead, the grayscale values of eye sub-image are fed to the filter directly. This is based on the observation that SVM has good learning capability in high dimensional feature space and incorporates the mechanics similar to feature extraction in its own architecture. Experimental results show the effectiveness ofthe presented system, even for low quality images.

Paper Details

Date Published: 30 August 2002
PDF: 6 pages
Proc. SPIE 4925, Electronic Imaging and Multimedia Technology III, (30 August 2002); doi: 10.1117/12.481605
Show Author Affiliations
Gang Pan, Zhejiang Univ. (China)
Weixun Lin, Zhejiang Univ. (China)
Zhaohui Wu, Zhejiang Univ. (China)
Yingchun Yang, Zhejiang Univ. (China)


Published in SPIE Proceedings Vol. 4925:
Electronic Imaging and Multimedia Technology III
LiWei Zhou; Chung-Sheng Li; Yoshiji Suzuki, Editor(s)

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