Approximate Epipolar Geometry from Six Rotation Invariant Correspondences

Dániel Baráth

Abstract

We propose a method for estimating an approximate fundamental matrix from six rotation invariant feature correspondences exploiting their rotation components, e.g. provided by SIFT or ORB detectors. The cameras are not calibrated. First, a linear sub-space is calculated from the point coordinates, then the rotations are used assuming orthographic projection. It is demonstrated that combining the proposed method with Graph-cut RANSAC makes it superior to the state-of-the-art in terms of accuracy for tasks requiring a strict time limit. These tasks are practically the ones which need to be done real time. We tested the method on 203 publicly available real image pairs.

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Paper Citation


in Harvard Style

Baráth D. (2018). Approximate Epipolar Geometry from Six Rotation Invariant Correspondences.In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, ISBN 978-989-758-290-5, pages 464-471. DOI: 10.5220/0006678304640471


in Bibtex Style

@conference{visapp18,
author={Dániel Baráth},
title={Approximate Epipolar Geometry from Six Rotation Invariant Correspondences},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP,},
year={2018},
pages={464-471},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006678304640471},
isbn={978-989-758-290-5},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP,
TI - Approximate Epipolar Geometry from Six Rotation Invariant Correspondences
SN - 978-989-758-290-5
AU - Baráth D.
PY - 2018
SP - 464
EP - 471
DO - 10.5220/0006678304640471