Optimization of informative components for 3-D object recognition

被引：0
|
作者：
Kuznetsov, VD [1 ]
Matveev, IA [1 ]
Murynin, AB [1 ]
机构：
[1] Russian Acad Sci, Ctr Comp, Moscow 117967, Russia
来源：
23RD INTERNATIONAL CONGRESS ON HIGH-SPEED PHOTOGRAPHY AND PHOTONICS, PT 1 | 1999年 / 3516卷
关键词：
computer vision; image recognition; principal component analysis;
D O I：
10.1117/12.350522
中图分类号：
R602 [外科病理学、解剖学]; R32 [人体形态学];
学科分类号：
100101 ;
摘要：
Work presented suggests a combined informational space and decision rule for recognition of 3-D objects. The informational space consists of heterogeneous sets of features (i.e. belonging to different spaces), that are object images, images of certain object features and 3-D object surface representation. Decision rule for recognition in this combined space is proposed. The method was tested on a database of human face stereo-images and gave a significant improvement of reliability of automatic recognition system.
引用
收藏
页码：426 / 432
页数：7
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