Precision Comparison of 3D Measurement System Based on Stereo Vision

被引：1
|
作者：
Zhang, Ke [1 ]
Gao, Zhao [1 ]
机构：
[1] Zhejiang Normal Univ, Coll Engn, Jinhua 321004, Peoples R China
来源：
AUTOMATIC MANUFACTURING SYSTEMS II, PTS 1 AND 2 | 2012年 / 542-543卷
关键词：
Stereo vision; Genetic algorithm; BP Neural network; Precision comparison; CAMERA CALIBRATION;
D O I：
10.4028/www.scientific.net/AMR.542-543.635
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The 3D measurement based on stereo vision, as a new measurement technology, has been widely used in reverse engineering, robot vision and quality control, etc. In this paper, the basic principle and method of calibrating 3D measurement system based on stereo vision respectively using genetic algorithm and neural network was introduced. Then the measurement system was calibrated and the precision of 3D measurement system was compared. The experimental results indicate that the method based on BP neural network can improve the precision of measurement better.
引用
收藏
页码：635 / 638
页数：4
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