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基于改进的轮廓线算法的三维人脸识别方法
引用本文:张翔,周明全,刘晓宁,王光营.基于改进的轮廓线算法的三维人脸识别方法[J].计算机应用与软件,2008,25(5):22-24.
作者姓名:张翔  周明全  刘晓宁  王光营
作者单位:西北大学可视化技术研究所,陕西,西安,710127
基金项目:国家自然科学基金(60573179).
摘    要:针对二维人脸识别中受表情、姿态以及光照等因素而影响识别率的问题,在分析人脸生理结构的基础上,提出了一种基于改进的轮廓线的三维人脸识别方法,即先提取三维人脸特征点,然后提取人脸轮廓线,最后利用人脸轮廓线和特征点构成的特征模型进行三维人脸识别。试验结果证明该方法提高了人脸识别率,并具有强抗干扰能力。

关 键 词:特征提取  轮廓线  ICP算法  Hausdorff
修稿时间:2006年10月8日

3D FACE RECOGNITION BASED ON IMPROVED PROFILE ALGORITHM
Zhang Xiang,Zhou Ming-quan,Liu Xiao-ning,Wang Guang-ying.3D FACE RECOGNITION BASED ON IMPROVED PROFILE ALGORITHM[J].Computer Applications and Software,2008,25(5):22-24.
Authors:Zhang Xiang  Zhou Ming-quan  Liu Xiao-ning  Wang Guang-ying
Affiliation:Zhang Xiang Zhou Mingquan Liu Xiaoning Wang Guangying(Institute of Visualization Technology,Northwest University,Xi'an 710127,Shaanxi,China)
Abstract:Aiming at questions resulting from facial expression, posture and illumination in 2D face recognition, 3D Face Recognition based on an improved profile algorithm is presented after analyzing the character of face physiological structure of human beings. Firstly, facial feature was extracted in 3D facial system, then the profiles of face were extracted, finally 3D face recognition was completed by the use of feature model which consists of face profile and feature points. It is shown by experimental results ...
Keywords:Feature extraction Profile ICP algorithm Hausdorff  
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