DocumentCode
414040
Title
Camera pose estimation from less than eight points in visual servoing
Author
Chesi, Graziano ; Hashimoto, Koichi
Author_Institution
Dept. of Information Phys. & Comput., Tokyo Univ., Japan
Volume
1
fYear
2004
fDate
26 April-1 May 2004
Firstpage
733
Abstract
The problem of estimating the camera pose in eye-in-hand visual servoing is considered for the case in which the available point correspondences are less than eight. Two strategies based on the properties of the essential matrix are hence described, which mainly consist of the computation of the roots of a one-variable polynomial in the seven points case and the minimization of a two-variables polynomial through a gradient algorithm in the six points case.
Keywords
gradient methods; image motion analysis; matrix algebra; minimisation; polynomials; camera pose estimation; eye-in-hand visual servoing; gradient algorithm; one-variable polynomial; two-variables polynomial minimization; Cameras; Error correction; Feedback; Jacobian matrices; Minimization methods; Physics computing; Polynomials; Robot vision systems; Symmetric matrices; Visual servoing;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 2004. Proceedings. ICRA '04. 2004 IEEE International Conference on
ISSN
1050-4729
Print_ISBN
0-7803-8232-3
Type
conf
DOI
10.1109/ROBOT.2004.1307236
Filename
1307236
Link To Document