DocumentCode :
2614849
Title :
Determining 3-D object pose using the complex extended Gaussian image
Author :
Kang, Sing Bing ; Ikeuchi, Katsushi
Author_Institution :
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear :
1991
fDate :
3-6 Jun 1991
Firstpage :
580
Lastpage :
585
Abstract :
A method based on the extended Gaussian image (EGI) which can be used to determine the pose of a 3-D object is presented. In this scheme, the weight associated with each outward surface normal is a complex weight. The normal distance of the surface from the predefined origin is encoded as the phase of the weight, while the magnitude of the weight is the visible area of the surface. This approach decouples the orientation and translation determination into two distinct least-squares problems. Experiments involving synthetic data of two polyhedral and two smooth objects as well as real range data of the same smooth objects indicate the feasibility of this method
Keywords :
computer vision; computerised pattern recognition; 3-D object pose; 3D object pose; ellipsoid; extended Gaussian image; least-squares problems; orientation; outward surface normal; range data; smooth objects; synthetic data; torus; translation determination; Computer vision; Data mining; Equations; H infinity control; Object recognition; Optimization methods; Orbital robotics; Prototypes; Robot kinematics; Robot vision systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on
Conference_Location :
Maui, HI
ISSN :
1063-6919
Print_ISBN :
0-8186-2148-6
Type :
conf
DOI :
10.1109/CVPR.1991.139757
Filename :
139757
Link To Document :
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