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3D Visual Methods for Object Pose Measurement

机译:对象姿态测量的3D视觉方法

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It is a hotspot problem in robotics research that determine the related pose between two space objects and realize their cooperate. 3D visual method is the main method for measures the space object pose. Because the rigidity demand during pose computes, the 3D vision at this condition is model based. That is to say the model of the marks must be used as a strict restriction during the computing. This paper will give the method of computing 3D pose at first and discuss the model restriction problem emphatically, include model-based monocular vision method and model-based binocular stereo. The compare analysis between the two methods and the experiment result will be given at last.
机译:它是机器人研究中的热点问题,从而确定了两个空间物体之间的相关姿势,并实现了合作。 3D视觉方法是测量空间对象姿势的主要方法。因为在姿势计算期间的刚性需求,因此这种情况下的3D视觉是基于模型的。也就是说,在计算期间,标记的模型必须用作严格的限制。本文将在首先提供计算3D姿势的方法,并强调讨论模型限制问题,包括基于模型的单眼视觉方法和基于模型的双目立体声。最后给出了两种方法和实验结果之间的比较分析。

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