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 and 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