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基于地理区域分布的人脸几何特征研究
引用本文:张红梅,龚卫国,刘嘉敏,李伟红,梁毅雄.基于地理区域分布的人脸几何特征研究[J].计算机应用,2004,24(2):69-72.
作者姓名:张红梅  龚卫国  刘嘉敏  李伟红  梁毅雄
作者单位:重庆大学,光电技术及系统教育部重点实验室,重庆,400044
基金项目:教育部科学技术重点项目(02057),重庆大学骨干教师资助项目(2003A13)
摘    要:文中提出了利用人脸面部几何特征地理区域分布的差异性进行人脸识别的新方法。首先针对比较典型的中国华北和西南两大区域采集100幅人脸面部图像,然后采用一种自动提取算法抽取面部几何特征,再利用感知器算法对这两大区域进行面部特征分类。实验结果表明该方法是可行而有效的。

关 键 词:人脸识别  面部几何特征  地理区域分布
文章编号:1001-9081(2004)02-0069-04

Research on Regional Distribution of Facial Geometric Feature
ZHANG Hong-mei,GONG Wei-guo,LIU Jia-min,LI Wei-hong,LIANG Yi-xionggqing ,China.Research on Regional Distribution of Facial Geometric Feature[J].journal of Computer Applications,2004,24(2):69-72.
Authors:ZHANG Hong-mei  GONG Wei-guo  LIU Jia-min  LI Wei-hong  LIANG Yi-xionggqing  China
Affiliation:ZHANG Hong-mei,GONG Wei-guo,LIU Jia-min,LI Wei-hong,LIANG Yi-xionggqing 400044,China)
Abstract:In this paper a new method about face recognition is presented based on the regional distribution of facial geometric feature in China. First, 100 pieces of facial images of the North-China and Southwest, which are more typical in facial feature, are collected in the experiment. Then, the facial geometric features are extracted by automatic algorithm. Finally, the perception classifier is employed to classify the different facial features of the two regions. The efficiency and feasibility of the presented method has been verified through experimental results.
Keywords:face recognition  facial geometric feature  regional distribution
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