DocumentCode :
1747509
Title :
Machine-vision-based estimation of pose and size parameters from a generic workpiece description
Author :
Keçeci, F. ; Nagel, H.H.
Author_Institution :
Inst. fur Algorithmen und Kognitive Syst., Karlsruhe Univ., Germany
Volume :
3
fYear :
2001
fDate :
2001
Firstpage :
2159
Abstract :
Automatic disassembly of used products can not assume that CAD databases will provide precise knowledge about the pose, size, and shape of components to be manipulated because some of the components may have been repaired, repositioned, or replaced, thereby possibly invalidating the original construction data. In principle, the missing information can be provided by machine vision which often becomes more robust if it can rely on some knowledge about the workpiece to be manipulated, for example, in the form of generic descriptions. Use of the latter necessitates, however, that not only an unknown pose, but in addition unknown size and shape parameters of a component have to be determined. A solution to the automatic determination of location, orientation, size, and shape of truncated cones is demonstrated by the example of shock absorber lids in the engine compartment of a used car.
Keywords :
automobiles; computer vision; parameter estimation; process control; recycling; car components; disassembly; generic workpiece description; machine vision; pose estimation; size estimation; Assembly systems; Cameras; Engines; Image sequences; Machine vision; Reservoirs; Robot kinematics; Robot vision systems; Shape; Shock absorbers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 2001. Proceedings 2001 ICRA. IEEE International Conference on
ISSN :
1050-4729
Print_ISBN :
0-7803-6576-3
Type :
conf
DOI :
10.1109/ROBOT.2001.932943
Filename :
932943
Link To Document :
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