DocumentCode :
2577675
Title :
Computing superquadrics using binocular stereo sensor
Author :
Chen, Liang-Hua ; Lin, Wei-Chung
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA
fYear :
1991
fDate :
13-16 Oct 1991
Firstpage :
225
Abstract :
The authors present an integrated approach to recovering a superquadrical model of a single object from stereo images. The algorithm combines the recovery processes of occluding contour, surface, and volumetric models in a cooperative and synergetic way. The aggregation of shape information is performed via model recovery. By integrating the depth information and orientation information from the respective surface and contour modules, the volumetric model based on superquadrics can be recovered robustly. This results in consistent interpretation of the object and an increase in system flexibility
Keywords :
information theory; pattern recognition; picture processing; binocular stereo sensor; contour modules; depth information; orientation information; pattern recognition; picture processing; shape information; stereo images; superquadrical model recovery; superquadrics; surface module; volumetric model; Ear; Image reconstruction; Image sensors; Mathematical model; Parameter estimation; Robustness; Rough surfaces; Shape; Surface reconstruction; Surface roughness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1991. 'Decision Aiding for Complex Systems, Conference Proceedings., 1991 IEEE International Conference on
Conference_Location :
Charlottesville, VA
Print_ISBN :
0-7803-0233-8
Type :
conf
DOI :
10.1109/ICSMC.1991.169689
Filename :
169689
Link To Document :
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