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Proceedings Paper

Online multidimensional measurement of complex workpieces based on stereo computer vision
Author(s): Zhenying Xu; Zhihao Tang; Yun Wang; Yetai Fei
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Paper Abstract

This paper presents a new way for online multi-dimensional measurement of complex workpieces, which is based on the stereo computer vision. We also advanced a new algorithm to obtain the disparity image for the image matching. In this algorithm we combine the pyramid image-matching strategy and the means of dynamic programming, and then apply the sub-pixel matching. Thus, the characteristic lines and circles of the measured workpiece are reconstructed in the image space. Using Hough transform, we obtain the information of the circles and the lines in the measurand. Then we get the sizes required. Compared with those obtained by CMM, the results have quite high accuracy.

Paper Details

Date Published: 25 October 2006
PDF: 6 pages
Proc. SPIE 6280, Third International Symposium on Precision Mechanical Measurements, 628012 (25 October 2006); doi: 10.1117/12.716137
Show Author Affiliations
Zhenying Xu, Jiangsu Univ. (China)
Zhihao Tang, Jiangsu Univ. (China)
Yun Wang, Jiangsu Univ. (China)
Yetai Fei, Hefei Univ. of Technology (China)


Published in SPIE Proceedings Vol. 6280:
Third International Symposium on Precision Mechanical Measurements
Kuang-Chao Fan; Wei Gao; Xiaofen Yu; Wenhao Huang; Penghao Hu, Editor(s)

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