Frontal Facial Symmetry Detection Using Eigenvalue Method

S. S, D. R.
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引用次数: 1

Abstract

Facial symmetry is correspondence of face components on the both sides of face, left and right of a dividing line or about a center or an axis. Most of the research use face component like eyes, nose and ears component to identify facial symmetry. In this paper we suggest to add mouth as another face component to increase accuracy in facial symmetry detection. The results of facial symmetry detection are used for authentication process, analysis in medical, psychology and anthropology scope. By using MATLAB 7.1 we develop a program that can analyze face,asymmetry or not with utilizing eigenvalue. The contribution of this analysis is to know whether eigenvalue is suitable or not in analyzing facial symmetry.
基于特征值法的正面面部对称性检测
面部对称是指面部两侧、分割线左右或围绕中心或轴线的面部成分的对应关系。大多数的研究都是利用眼、鼻、耳等面部成分来识别面部的对称性。在本文中,我们建议增加嘴巴作为另一个面部成分,以提高面部对称检测的准确性。面部对称检测的结果用于医学、心理学和人类学范围内的认证过程、分析。利用MATLAB 7.1编写了一个利用特征值分析人脸、非对称性和非对称性的程序。该分析的贡献在于知道特征值是否适合用于分析面部对称性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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