Segmenting Epipolar Line

TL;DR

This paper introduces a method to narrow down the feature search space along the epipolar line in stereo vision by identifying specific segments constrained by the epipole and a virtual infinity point, improving correspondence accuracy.

Contribution

It presents a novel approach to segment the epipolar line into fewer candidate regions using cheirality constraints, enhancing feature matching efficiency.

Findings

Reduced search space for feature correspondence

Improved accuracy in stereo matching

Potential for faster 3D reconstruction

Abstract

Identifying feature correspondence between two images is a fundamental procedure in three-dimensional computer vision. Usually the feature search space is confined by the epipolar line. Using the cheirality constraint, this paper finds that the feature search space can be restrained to one of two or three segments of the epipolar line that are defined by the epipole and a so-called virtual infinity point.