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Proceedings Paper

Research on location and crawling of work-piece based on binocular vision
Author(s): Jian Xu; Dai-xian Zhu
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Paper Abstract

In order to solve the work-piece recognition, location and crawling problem in the process of manufacturing, a new method of work-piece recognition and location based on binocular stereo vision is proposed. The SIFT algorithm is used to extract feature of each work-piece, the template matching method is used to identify Work-piece ,and work-piece three-dimensional information is obtained by using binocular vision, Thus robot crawling task can be implemented. MATLAB and VC++ are used to program system software. Experimental results demonstrate the good results of this method.

Paper Details

Date Published: 19 August 2010
PDF: 7 pages
Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78200P (19 August 2010); doi: 10.1117/12.867484
Show Author Affiliations
Jian Xu, Xi'an Polytechnic Univ. (China)
Dai-xian Zhu, Xi'an Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 7820:
International Conference on Image Processing and Pattern Recognition in Industrial Engineering
Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du, Editor(s)

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