DocumentCode :
2331569
Title :
3D modelling and indexing for CAD-based object recognition
Author :
Villalobos, Leda ; Merat, Francis L.
Author_Institution :
Dept. of Electr. Eng., Case Western Reserve Univ., Cleveland, OH, USA
fYear :
1994
fDate :
8-13 May 1994
Firstpage :
1965
Abstract :
A 3D object recognition system for parts designed with a form feature CAD is presented. Objects are modelled as organized compositions of instantiated form primitives. Because of this, the burden of part recognition is shifted from matching the scene to the part database to matching the scene to the primitive database, which is usually a significantly smaller database. In this paper we briefly review our approach to primitive and object representation, the architecture of the system, hypotheses generation, and primitive indexing. Results obtained wish both synthetic and actual range images are presented
Keywords :
CAD/CAM; database management systems; feature extraction; indexing; knowledge based systems; neural nets; solid modelling; 3D modelling; CAD-based object recognition; CAD/CAM; feature based CAD; hypotheses generation; neural nets; object representation; part database; part recognition; primitive database; primitive indexing; rule based system; topology; Computer aided manufacturing; Computer integrated manufacturing; Design automation; Image databases; Indexing; Layout; Manufacturing automation; Object recognition; Spatial databases; Virtual manufacturing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 1994. Proceedings., 1994 IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-8186-5330-2
Type :
conf
DOI :
10.1109/ROBOT.1994.351184
Filename :
351184
Link To Document :
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