Proceedings of the Korean Institute of Information and Commucation Sciences Conference (한국정보통신학회:학술대회논문집)
- 2001.05a
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- Pages.656-659
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- 2001
Wavelet based Feature Extraction of Human Face
- Kim, Yoon-ho (Mok-Won Univ. Dept. of computer eng.) ;
- Lee, Myung-kil (Dae-Dok College Dept. of computer tech.) ;
- Ryu, Kwang-ryol (Mok-Won Univ. Div. of electronics & communication eng.)
- Published : 2001.05.01
Abstract
Human have a notable ability to recognize faces, which is one of the most common visual feature in our environment. In regarding face pattern, just like other natural object, a geometrical interpretation of face is difficult to achieve. In this paper, we present wavelet based approach to extract the face features. Proposed approach is similar to the feature based scheme, where the feature is derived from the intensity data without detecting any knowledge of the significant feature. Topological graphs are involved to represent some relations between facial features. In our experiments, proposed approach is less sensitive to the intensity variation.
Keywords