Towards the Application of Linear Programming Methods For Multi-Camera Pose Estimation
Computer Vision and Pattern Recognition
2015-12-09 v1
Abstract
We presented a separation based optimization algorithm which, rather than optimization the entire variables altogether, This would allow us to employ: 1) a class of nonlinear functions with three variables and 2) a convex quadratic multivariable polynomial, for minimization of reprojection error. Neglecting the inversion required to minimize the nonlinear functions, in this paper we demonstrate how separation allows eradication of matrix inversion.
Cite
@article{arxiv.1512.02357,
title = {Towards the Application of Linear Programming Methods For Multi-Camera Pose Estimation},
author = {Masoud Aghamohamadian-Sharbaf and Ahmadreza Heravi and Hamidreza Pourreza},
journal= {arXiv preprint arXiv:1512.02357},
year = {2015}
}