Robust Multiple Homography Estimation: An Ill-Solved Problem
Abstract
The estimation of multiple homographies between two piecewise planar views of a rigid scene is often assumed to be a solved problem. We show that contrary to popular opinion various crucial aspects of the task have not been adequately emphasised. We are motivated by a growing body of literature in robust multi-structure estimation that purports to solve the multi-homography estimation problem but in fact does not. We demonstrate that the estimation of multiple homographies is an ill-solved problem by deriving new constraints that a set of mutually compatible homographies must satisfy, and by showing that homographies estimated with prevailing methods fail to satisfy the requisite constraints on real-world data. We also explain why incompatible homographies imply inconsistent epipolar geometries. The arguments and experiments presented in this paper signal the need for a new generation of robust multi-structure estimation methods that have the capacity to enforce constraints on projective entities such as homography matrices.
Cite
Text
Szpak et al. "Robust Multiple Homography Estimation: An Ill-Solved Problem." Conference on Computer Vision and Pattern Recognition, 2015. doi:10.1109/CVPR.2015.7298825Markdown
[Szpak et al. "Robust Multiple Homography Estimation: An Ill-Solved Problem." Conference on Computer Vision and Pattern Recognition, 2015.](https://mlanthology.org/cvpr/2015/szpak2015cvpr-robust/) doi:10.1109/CVPR.2015.7298825BibTeX
@inproceedings{szpak2015cvpr-robust,
title = {{Robust Multiple Homography Estimation: An Ill-Solved Problem}},
author = {Szpak, Zygmunt L. and Chojnacki, Wojciech and van den Hengel, Anton},
booktitle = {Conference on Computer Vision and Pattern Recognition},
year = {2015},
doi = {10.1109/CVPR.2015.7298825},
url = {https://mlanthology.org/cvpr/2015/szpak2015cvpr-robust/}
}