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
fDate :
26 April-1 May 2004
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;
Conference_Titel :
Robotics and Automation, 2004. Proceedings. ICRA '04. 2004 IEEE International Conference on
Print_ISBN :
0-7803-8232-3
DOI :
10.1109/ROBOT.2004.1307236