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Proceedings Paper

Video-based face verification
Author(s): Wei Hong; Haizhou Ai; Li Zhuang; Guang-you Xu
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Paper Abstract

This paper introduces a video based face verification system. Stereo vision and multiple-related template matching method are used to segment facial region from the background. Facial features are extracted for geometrical normalization and followed by illumination normalization. Faces are represented by normalized face images masking out some corner points. A Support Vector Machine classifier is trained for each person for verification. Experimental results demonstrate the superior performance of this method in complex real environment.

Paper Details

Date Published: 21 September 2001
PDF: 5 pages
Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001); doi: 10.1117/12.441443
Show Author Affiliations
Wei Hong, Tsinghua Univ. (China)
Haizhou Ai, Tsinghua Univ. (China)
Li Zhuang, Tsinghua Univ. (China)
Guang-you Xu, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 4550:
Image Extraction, Segmentation, and Recognition
Tianxu Zhang; Bir Bhanu; Ning Shu, Editor(s)

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