DocumentCode :
3181264
Title :
3D object recognition using spin-images for a humanoid stereoscopic vision system
Author :
Stasse, Olivier ; Dupitier, Sylvain ; YOKOI, Kazuhito
Author_Institution :
AIST/IS-CNRS/STIC Joint Japanese-French Robotics Lab., AIST, Ibaraki
fYear :
2006
fDate :
9-15 Oct. 2006
Firstpage :
2955
Lastpage :
2960
Abstract :
This paper presents a 3D object recognition method based on spin-images for a humanoid robot having a stereoscopic vision system. Spin-images have been proposed to search CAD models database, and use 3D range informations. In this context, the use of a vision system is taken into account through a multi-resolution approach. A method for quickly computing multi-resolution and interpolating spin-images is proposed. The results on simulation and on real data are given, and show the effectiveness of this method
Keywords :
humanoid robots; image resolution; object recognition; robot vision; 3D object recognition; CAD models database; humanoid robot; humanoid stereoscopic vision system; interpolating spin-images; multi-resolution approach; Computational modeling; Databases; Humanoid robots; Intelligent robots; Intelligent systems; Machine vision; Object recognition; Robot vision systems; Service robots; Solid modeling; 3D recognition; Spin-images; humanoid robot; multi-resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-0258-1
Electronic_ISBN :
1-4244-0259-X
Type :
conf
DOI :
10.1109/IROS.2006.282151
Filename :
4058845
Link To Document :
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