DocumentCode :
3694960
Title :
Shape modeling of a string and recognition using distance sensor
Author :
Keisuke Mukai;Takayuki Matsuno;Akira Yanou;Mamoru Minami
Author_Institution :
Graduate School of Natural Science and Technology, Okayama University, Okayama, Japan
fYear :
2015
Firstpage :
363
Lastpage :
368
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 :
"Shape","Cameras","Mathematical model","Estimation","Robot sensing systems","Iterative closest point algorithm"
Publisher :
ieee
Conference_Titel :
Robot and Human Interactive Communication (RO-MAN), 2015 24th IEEE International Symposium on
Type :
conf
DOI :
10.1109/ROMAN.2015.7333624
Filename :
7333624
Link To Document :
بازگشت