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
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