Segmenting Epipolar Line
This work addresses a specific bottleneck in 3D computer vision for researchers and practitioners by incrementally improving feature matching efficiency.
The paper tackled the problem of reducing the feature search space in stereo correspondence by segmenting the epipolar line using the cheirality constraint, resulting in a method that confines the search to one of two or three segments defined by the epipole and a virtual infinity point.
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.