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
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;
Conference_Titel :
Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
Print_ISBN :
0-7695-2372-2
DOI :
10.1109/CVPR.2005.36