26 April 2007 Significance evaluation of geometric features in classification of chinese facial images
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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.
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Jiamin Liu, Jiamin Liu, Yijun Lan, Yijun Lan, Ying Zhou, Ying Zhou, Tianwei Ma, Tianwei Ma, Yingjun Pan, Yingjun Pan, Weiguo Gong, Weiguo Gong, } "Significance evaluation of geometric features in classification of chinese facial images", 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; https://doi.org/10.1117/12.714225
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