DocumentCode :
1748658
Title :
Visual servoing invariant to changes in camera intrinsic parameters
Author :
Malis, Ezio
Author_Institution :
INRIA, Sophia Antipolis, France
Volume :
1
fYear :
2001
fDate :
2001
Firstpage :
704
Abstract :
This paper presents a new visual servoing scheme which is invariant to changes in camera intrinsic parameters. Current visual servoing techniques are based on the learning of a reference image with the same camera used during the servoing. The scheme proposed in the paper differs from previous techniques in that it is camera independent. With the new scheme it is possible to position a camera (with eventually varying intrinsic parameters), with respect to a non-planar object, given a “reference image” taken with a completely different camera
Keywords :
image recognition; learning (artificial intelligence); robot vision; camera intrinsic parameters; learning; reference image; visual servoing invariant; Cameras; Computer errors; Convergence; Feature extraction; Machine vision; Manipulators; Robot sensing systems; Robot vision systems; Visual servoing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7695-1143-0
Type :
conf
DOI :
10.1109/ICCV.2001.937592
Filename :
937592
Link To Document :
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