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
相关论文
共 50 条
  • [31] An automatic 3d reconstruction system based on binocular vision measurement
    Liu, Shuangyin
    Wang, Zhenwei
    Fan, Fang
    AOPC 2017: 3D MEASUREMENT TECHNOLOGY FOR INTELLIGENT MANUFACTURING, 2017, 10458
  • [32] Accurate 3D shape measurement of multiple separate objects with stereo vision
    Kieu, Hien
    Pan, Tongyan
    Wang, Zhaoyang
    Le, Minh
    Nguyen, Hieu
    Vo, Minh
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2014, 25 (03)
  • [33] Stereo vision for 3D measurement: Accuracy analysis, calibration and industrial applications
    Aguilar, J.J.
    Torres, F.
    Lope, M.A.
    Measurement: Journal of the International Measurement Confederation, 1996, 18 (04): : 193 - 200
  • [34] A Stereo Vision Measurement System Based on OpenCV
    Lu, Chaohui
    Wang, Xi
    Shen, Yinghua
    2013 6TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP), VOLS 1-3, 2013, : 718 - 722
  • [35] New approach to improving the accuracy of 3D measurement in stereo vision technique
    Dong, Yu-Ning
    Nanjing Youdian Xueyuan Xuebao/Journal of Nanjing Institute of Posts and Telecommunications, 2003, 23 (04):
  • [36] Using neural networks for 3D measurement in stereo vision inspection systems
    Tien, FC
    Chang, CA
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 1999, 37 (09) : 1935 - 1948
  • [37] 3D Reconstruction Model of Underwater Environment in Stereo Vision System
    Wu, Yanli
    Nian, Rui
    He, Bo
    2013 OCEANS - SAN DIEGO, 2013,
  • [38] Selective acquisition of 3D structure with an active stereo vision system
    Grad. School of Engineering Science, Osaka University, Toyonaka, 560-8531, Japan
    Syst Comput Jpn, 12 (1-15):
  • [39] A Fast 3D Hand Model Reconstruction by Stereo Vision System
    Sangi, Mehrdad
    Jahed, Mehran
    2010 2ND INTERNATIONAL CONFERENCE ON COMPUTER AND AUTOMATION ENGINEERING (ICCAE 2010), VOL 5, 2010, : 545 - 549
  • [40] Estimation of 3D reconstruction errors in a stereo-vision system
    Belhaoua, A.
    Kohler, S.
    Hirsch, E.
    MODELING ASPECTS IN OPTICAL METROLOGY II, 2009, 7390
12345