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Shape modeling of a string and recognition using distance sensor

Keisuke Mukai, Takayuki Matsuno, Akira Yanou, Mamoru Minami

Year
2015
Citations
10

Abstract

The demand is growing that a robot manipulates a deformable object. Scenarios for both of a grasping point and transfer of grasped point are required, in order to manipulate a deformable object by a robot. Therefore, it is important for a robot to recognize its form by using image information. In this paper, three-dimensional points groups of a string are obtained by a camera that has distance measure equipment. A shape model called “point chain model” is obtained from points group based on proposed algorithm. In this algorithm, first, points which are estimated to be outside of target object are removed from obtained points groups. Secondly, points groups obtained from various viewpoints are combined to reconstruct three-dimensional shape of a string. Thirdly, central axes of a string are abstracted from combined points groups. Finally, central axes are chained to construct the point chain model. Effectiveness of proposed algorithm is confirmed by experiment.

Keywords

String (physics)Computer sciencePattern recognition (psychology)Artificial intelligenceMathematics

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