3D Face Recognition Using Multiple Features for Local Depth Information

被引：0
|
作者：
Khalid, Fatimah [1 ]
Lili, N. A. [1 ]
机构：
[1] Univ Putra Malaysia, Fac Comp Sci & Informat Technol, Dept Multimedia, Serdang 43400, Selangor, Malaysia
来源：
INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY | 2009年 / 9卷 / 01期
关键词：
3D face recognition; feature localization; feature extraction;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we recognized multiple features from the local depth information of distance and angle calculation. These features are calculated from the twelve salient points by considering the distance and angle calculation. Then, fifty three non-independent features are extracted and the discriminating power is used for analyzing these features. The result shows an improvement compared to the previous work.
引用
收藏
页码：27 / 32
页数：6
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