DocumentCode :
3213902
Title :
Automated sensor planning for robotic vision tasks
Author :
Tarabanis, Konstantinos ; Tsai, Roger Y. ; Allen, Peter K.
Author_Institution :
Dept. of Comput. Sci., Columbia Univ., New York, NY, USA
fYear :
1991
fDate :
9-11 Apr 1991
Firstpage :
76
Abstract :
A method is presented to determine viewpoints for a robotic vision system for which object features of interest will simultaneously by visible, inside the field-of-view, in-focus, and magnified as required. A technique that poses the problem in an optimization setting in order to determine viewpoints that satisfy all requirements simultaneously and with a margin is presented. The formulation and results of the optimization are shown, as well as experimental results in which a robot vision system is positioned and its lens is set according to this method. Camera views are taken from the computed viewpoints in order to verify that all feature detectability requirements are satisfied
Keywords :
computer vision; image sensors; optimisation; planning (artificial intelligence); robots; automated sensor planning; computer vision; feature detectability; field-of-view; optimization; robotic vision system; viewpoints; Cameras; Computer vision; Geometrical optics; Lenses; Machine vision; Motion planning; Optical sensors; Robot sensing systems; Robot vision systems; Robotics and automation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 1991. Proceedings., 1991 IEEE International Conference on
Conference_Location :
Sacramento, CA
Print_ISBN :
0-8186-2163-X
Type :
conf
DOI :
10.1109/ROBOT.1991.131556
Filename :
131556
Link To Document :
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