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

机译:基于双目视觉的工件定位与爬行研究

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摘要

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.
机译:为了解决制造过程中的工件识别,定位和爬行问题,提出了一种基于双目立体视觉的工件识别和定位新方法。采用SIFT算法提取每个工件的特征,采用模板匹配的方法识别工件,利用双目视觉获得工件的三维信息,从而可以完成机器人的爬行任务。 MATLAB和VC ++用于对系统软件进行编程。实验结果证明了该方法的良好效果。

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