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Proceedings Paper

The experiment study of image acquisition system based on 3D machine vision
Author(s): Haiying Zhou; Zexin Xiao; Xuefei Zhang; Zhe Wei
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Paper Abstract

Binocular vision is one of the key technology in three-dimensional reconstructed of scene of three-dimensional machine vision. Important information of three-dimensional image could be acquired by binocular vision. When use it, we first get two or more pictures by camera, then we could get three-dimensional imformation included in these pictures by geometry and other relationship. In order to measurement accuracy of image acquisition system improved, image acquisition system of binocular vision about scene three-dimensional reconstruction is studyed in this article. Base on parallax principle and human eye binocular imaging, image acquired system between double optical path and double CCD mothd is comed up with. Experiment could obtain the best angle of double optical path optical axis and the best operating distance of double optical path. Then, through the bset angle of optical axis of double optical path and the best operating distance of double optical path, the centre distance of double CCD could be made sure. The two images of the same scene with different viewpoints is shoot by double CCD. This two images could establish well foundation for three-dimensional reconstructed of image processing in the later period. Through the experimental data shows the rationality of this method.

Paper Details

Date Published: 28 November 2011
PDF: 10 pages
Proc. SPIE 8200, 2011 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 82001I (28 November 2011); doi: 10.1117/12.907217
Show Author Affiliations
Haiying Zhou, Guilin Univ. of Electronic Technology (China)
Zexin Xiao, Guilin Univ. of Electronic Technology (China)
Xuefei Zhang, Guilin Univ. of Electronic Technology (China)
Zhe Wei, Guilin Univ. of Electronic Technology (China)


Published in SPIE Proceedings Vol. 8200:
2011 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology
Toru Yoshizawa; Ping Wei; Jesse Zheng, Editor(s)

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