Real-world examples for constraining epipoles using point-line correspondences

Abstract

Epipoles are important geometric entities of epipolar geometry, which are defined as the image of the camera center of one view in the other view. Many different algorithms in computer vision rely on the computation of epipoles, thereby giving rise to the need for efficient methods for computation of epipoles. In response to this need, different methods for either constraining or locating epipoles have been devised. This paper exploits a special kind of correspondences across two views in order to propose a novel approach for both constraining and computation of epipoles depending on the number of correspondences.