Title :
Varying focal length self-calibration and pose estimation from two images
Author :
Rousso, Benny ; Shilat, Erez
Author_Institution :
Inst. of Comput. Sci., Hebrew Univ., Jerusalem, Israel
Abstract :
This paper presents a self-calibration and pose estimation method that uses two cameras which only differ by focal length. The estimation of the rotation and focal lengths is independent of the translation recovery. Unlike most methods, we do not initialize our recovery with the projective camera. Instead we estimate the ego-motion and calibration from 3 homographies. These homographies can be easily obtained from a fundamental matrix or a trifocal tensor
Keywords :
calibration; computer vision; ego-motion; fundamental matrix; pose estimation; pose estimation method; projective camera; translation recovery; trifocal tensor; varying focal length self-calibration; Calibration; Cameras; Computer science; Image reconstruction; Iterative methods; Layout; Least squares methods; Motion estimation; Tensile stress;
Conference_Titel :
Computer Vision and Pattern Recognition, 1998. Proceedings. 1998 IEEE Computer Society Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8497-6
DOI :
10.1109/CVPR.1998.698647