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