# 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.

Download#### 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