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Proceedings Paper

Significance evaluation of geometric features in classification of chinese facial images
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Paper Abstract

In this paper, multivariable linear regression analysis was employed to obtain the relationship among facial geometric features, and a discriminant function was used to evaluate the significance of different features. Finally, classification rates were compared with different combinations of geometric features. The results showed that the geometric feature with more significance probably improved the classification performance in the cases studied.

Paper Details

Date Published: 26 April 2007
PDF: 9 pages
Proc. SPIE 6531, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2007, 653115 (26 April 2007); doi: 10.1117/12.714225
Show Author Affiliations
Jiamin Liu, Chongqing Univ. (China)
Univ.of Hawaii at Manoa (United States)
Yijun Lan, Chongqing Univ. (China)
Ying Zhou, Chongqing Univ. (China)
Tianwei Ma, Univ. of Hawaii at Manoa (United States)
Yingjun Pan, Chongqing Univ. (China)
Weiguo Gong, Chongqing Univ. (China)


Published in SPIE Proceedings Vol. 6531:
Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2007
H. Felix Wu; Aaron A. Diaz; Peter J. Shull, Editor(s)

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