• 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