3D Face Recognition Method Based on Cascade Classifier

被引：0
|
作者：
Kun, Bi [1 ]
Lin, Luo [1 ]
Li, Zhao [1 ]
Liang, Fang Shi [2 ]
机构：
[1] Southeast Univ, Sch Informat Sci & Engn, Nanjing 210096, Jiangsu, Peoples R China
[2] Southeast Univ, Minist Educ, Key Lab Underwater Acoust Signal Proc, Nanjing 210096, Jiangsu, Peoples R China
来源：
2012 INTERNATIONAL WORKSHOP ON INFORMATION AND ELECTRONICS ENGINEERING | 2012年 / 29卷
关键词：
iteration interpolation method; range image; principal component analysis (PCA); Hausdorff distance;
D O I：
10.1016/j.proeng.2012.01.027
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
A method for 3D face recognition based on Cascade Classifier algorithm is proposed in this paper. First, 3D point data is mapped to X-Y planar by using iteration interpolation method, and the range image is obtained. Then the principal component analysis (PCA) is used to find a low dimensional feature face space and then we achieve match score in accordance with the nearest neighbor rule. Finally, the remaining part faces are verified based on Hausdorff distance algorithm. The simulation experiment is done on CASIA database, the result shows that the performance of our algorithm has some improvement compared with other algorithms. (C) 2011 Published by Elsevier Ltd.
引用
收藏
页码：705 / 709
页数：5
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