DocumentCode
3549174
Title
A minimal solution for relative pose with unknown focal length
Author
Stewénius, Henrik ; Nister, David ; Kahl, Fredrik ; Schaffalitzky, Frederik
Author_Institution
Lund Univ., Sweden
Volume
2
fYear
2005
fDate
20-25 June 2005
Firstpage
789
Abstract
Assume that we have two perspective images with known intrinsic parameters except for an unknown common focal length. It is a minimally constrained problem to find the relative orientation between the two images given six corresponding points. We present an efficient solution to the problem and show that there are 15 solutions in general (including complex solutions). To the best of our knowledge this was a previously unsolved problem. The solutions are found through eigen-decomposition of a 15×15 matrix. The matrix itself is generated in closed form. We demonstrate through practical experiments that the algorithm is correct and numerically stable.
Keywords
computer vision; image reconstruction; matrix decomposition; known intrinsic parameters; matrix eigen-decomposition; minimally constrained problem; perspective images; relative pose; unknown common focal length; Cameras; Computational geometry; Computer vision; Engines; Equations; Image reconstruction; Noise measurement; Stability analysis; Video sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
ISSN
1063-6919
Print_ISBN
0-7695-2372-2
Type
conf
DOI
10.1109/CVPR.2005.36
Filename
1467523
Link To Document