DocumentCode :
2869202
Title :
Vision-based 3D Shape Reconstructure of a Non-Rigid Object
Author :
Fangwen, Zhu ; Zhenbang, Gong ; Ze, Cui
Author_Institution :
Sch. of Electromechanical Eng. & Autom., Shanghai Univ.
fYear :
2006
fDate :
25-28 June 2006
Firstpage :
1769
Lastpage :
1773
Abstract :
A method for positioning the feature points on a nonrigid object that have small nonrigid motion are described. It is applied to reconstruct a human being´s hand gesture in 3D space in a vision-based mechanical gripper control system. The positioning method provided a simple way for matching feature points between images in the stereo vision system. The result is used on a real time control system of a dexterous gripper and the gesture information is converted to the action gesture of a dexterous gripper by a specially designed algorithm, it also can be used to reconstruct a virtual hand skeleton
Keywords :
dexterous manipulators; position control; robot vision; dexterous gripper; positioning method; real time control system; stereo vision system; virtual hand skeleton; vision-based 3D shape reconstructure; vision-based mechanical gripper control system; Algorithm design and analysis; Control systems; Grippers; Humans; Image converters; Image reconstruction; Real time systems; Shape; Skeleton; Stereo vision; Stereo vision-based system; dexterous mechanical gripper; feature points positioning and matching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation, Proceedings of the 2006 IEEE International Conference on
Conference_Location :
Luoyang, Henan
Print_ISBN :
1-4244-0465-7
Electronic_ISBN :
1-4244-0466-5
Type :
conf
DOI :
10.1109/ICMA.2006.257482
Filename :
4026360
Link To Document :
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