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

页码：426 / 432

页数：7