Conic epipolar constraints from affine correspondences

Jacob Bentolila, Joseph M. Francos

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

Abstract

We derive an explicit relation between local affine approximations resulting from matching of affine invariant regions and the epipolar geometry in the case of a two view geometry. Most methods that employ the affine relations do so indirectly by generating pointwise correspondences from the affine relations. In this paper we derive an explicit relation between the local affine approximations and the epipolar geometry. We show that each affine approximation between images is equivalent to 3 linear constraints on the fundamental matrix and that the linear conditions guarantee the existence of an homography, compatible with the fundamental matrix. We further show that two affine relations constrain the location of the epipole to a conic section. Therefore, the location of the epipole can be extracted from 3 regions by intersecting conics. The result is further employed to derive a procedure for estimating the fundamental matrix, based on the estimated location of the epipole. It is shown to be more accurate and to require less iterations in LO-RANSAC based estimation, than the current point based approaches that employ the affine relation to generate pointwise correspondences and then calculate the fundamental matrix from the pointwise relations.

Original languageEnglish
Pages (from-to)105-114
Number of pages10
JournalComputer Vision and Image Understanding
Volume122
DOIs
StatePublished - 1 Jan 2014

Keywords

  • Affine invariant regions
  • Epipolar geometry
  • Fundamental matrix
  • Homographies

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition

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