Affiliation:
1. Zhejiang Normal University
Abstract
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.
Publisher
Trans Tech Publications, Ltd.
Reference8 articles.
1. R.Y. Tsai, A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lens, IEEE Journal of Robotics Automation, Vol. RA-3, No. 4, August 1987. pp.323-344.
2. S.D. Ma, Z.Y. Zhang, Computer vision-fundamentals of computational theory and algorithms, Beijing: Science press, 1998. (In Chinese).
3. G.Q. Wei, S.D. Ma, Implicit and explicit camera calibration: theory and experiments, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 16, No. 5, May 1994. pp.469-480.
4. M. Zhou, S.D. Sun, Principle and application of genetic algorithm, National defense industry press, 2002. (In Chinese).
5. H.L. Hu, Z.T. Jiang, Camera self-calibration based on genetic algorithm, Computer engineering and design, 2009. 1. (In Chinese).
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献