DocumentCode :
3672284
Title :
Robust multiple homography estimation: An ill-solved problem
Author :
Zygmunt L. Szpak;Wojciech Chojnacki;Anton van den Hengel
Author_Institution :
School of Computer Science, The University of Adelaide, SA 5005, Australia
fYear :
2015
fDate :
6/1/2015 12:00:00 AM
Firstpage :
2132
Lastpage :
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.
Keywords :
"Transmission line matrix methods","Estimation","Eigenvalues and eigenfunctions","Polynomials","Robustness","Cameras","Geometry"
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on
Electronic_ISBN :
1063-6919
Type :
conf
DOI :
10.1109/CVPR.2015.7298825
Filename :
7298825
Link To Document :
بازگشت