Robust Multiple Homography Estimation: An Ill-Solved Problem

Zygmunt L. Szpak, Wojciech Chojnacki, Anton van den Hengel; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, pp. 2132-2141

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.

Related Material


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[bibtex]
@InProceedings{Szpak_2015_CVPR,
author = {Szpak, Zygmunt L. and Chojnacki, Wojciech and van den Hengel, Anton},
title = {Robust Multiple Homography Estimation: An Ill-Solved Problem},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2015}
}