3D model enhanced face recognition

被引：0
|
作者：
Zhao, WY [1 ]
Chellappa, R [1 ]
机构：
[1] Sarnoff Corp, Ctr Automat Res, Princeton, NJ 08543 USA
来源：
2000 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL III, PROCEEDINGS | 2000年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A personal identification system based on the analysis of frontal or profile images of the face has applications in human-computer interfaces, access control, surveillance etc. Among many practical face recognition schemes, image based approaches are possibly the most promising ones. However, the 20 images/patterns of 3D face objects can change dramatically due to lighting and viewing variations. In this paper, we propose a generic 30 model to enhance existing face recognition systems. More specifically, we use a 30 model to synthesize the so-called prototype image from a given image acquired under different bighting and viewing conditions.
引用
收藏
页码：50 / 53
页数：4
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