Title :
Stereo head calibration from a planar object
Author :
Malm, Henrik ; Heyden, Anders
Author_Institution :
Centre for Math. Sci., Lund Univ., Sweden
Abstract :
A technique for stereo camera calibration from a known planar calibration object is proposed. Both the intrinsic parameters and the relative orientation are calculated. The proposed algorithm uses the two homogeneous linear constraints on the image of the absolute conic arising from the plane homographies for each camera and position. In addition to these, linear constraints on the relation between the images of the absolute conic for the two cameras in the stereo pair are calculated. The derivation of these constraints is made possible by considering the rigidity of the stereo pair. Using all these constraints simultaneously in a linear system gives a stereo calibration technique that is less sensitive to noise, compared to just using the single camera constraints. As a part of the algorithm, a simple way to calculate the infinite homography from two stereo views of a plane is presented.The performance of the algorithm is shown in experiments on both simulated and real data.
Keywords :
calibration; cameras; robot vision; stereo image processing; absolute conic; homogeneous linear constraints; infinite homography; intrinsic parameters; linear constraints; linear system; planar calibration object; planar object; plane homographies; real data; relative orientation; simulated data; single camera constraints; stereo calibration technique; stereo camera calibration; stereo head calibration; stereo pair rigidity; stereo views; Calibration; Councils; Digital cameras; Head; Linear systems; Reliability engineering; Robot kinematics; Robot sensing systems; Robot vision systems; Transmission line matrix methods;
Conference_Titel :
Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on
Print_ISBN :
0-7695-1272-0
DOI :
10.1109/CVPR.2001.991026