Approximate Epipolar Geometry from Six Rotation Invariant Correspondences

Dániel Baráth

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Paper

Approximate Epipolar Geometry from Six Rotation Invariant Correspondences

Topics: Stereo Vision and Structure from Motion

In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5 VISAPP: VISAPP, 464-471, 2018 , Funchal, Madeira, Portugal

Author: Dániel Baráth

Affiliation: MTA SZTAKI and ELTE IK, Hungary

Keyword(s): Fundamental Matrix, Epipolar Geometry, Rotation Invariant Features, Approximation.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Stereo Vision and Structure from Motion

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 several formats:

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 (VISIGRAPP 2018) - Volume 5: VISAPP; ISBN 978-989-758-290-5; ISSN 2184-4321, SciTePress, pages 464-471. DOI: 10.5220/0006678304640471

@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 (VISIGRAPP 2018) - Volume 5: VISAPP},
year={2018},
pages={464-471},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006678304640471},
isbn={978-989-758-290-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 5: VISAPP
TI - Approximate Epipolar Geometry from Six Rotation Invariant Correspondences
SN - 978-989-758-290-5
IS - 2184-4321
AU - Baráth, D.
PY - 2018
SP - 464
EP - 471
DO - 10.5220/0006678304640471
PB - SciTePress