An Algorithmic Solution to the Five-Point Pose Problem Based on the Cayley Representation of Rotations
Computer Vision and Pattern Recognition
2015-03-19 v2
Abstract
We give a new algorithmic solution to the well-known five-point relative pose problem. Our approach does not deal with the famous cubic constraint on an essential matrix. Instead, we use the Cayley representation of rotations in order to obtain a polynomial system from epipolar constraints. Solving that system, we directly get relative rotation and translation parameters of the cameras in terms of roots of a 10th degree polynomial.
Keywords
Cite
@article{arxiv.1105.3828,
title = {An Algorithmic Solution to the Five-Point Pose Problem Based on the Cayley Representation of Rotations},
author = {Evgeniy Martyushev},
journal= {arXiv preprint arXiv:1105.3828},
year = {2015}
}
Comments
9 pages, 5 figures