Research on location and crawling of work-piece based on binocular vision

Jian Xu; Dai-xian Zhu

doi:10.1117/12.867484

19 August 2010 Research on location and crawling of work-piece based on binocular vision

Jian Xu, Dai-xian Zhu

Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 78200P (2010) https://doi.org/10.1117/12.867484
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China

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.

Citation Download Citation

Jian Xu and Dai-xian Zhu "Research on location and crawling of work-piece based on binocular vision", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78200P (19 August 2010); https://doi.org/10.1117/12.867484

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