Affine Transformation from Fundamental Matrix and Two Directions

Nghia Minh, Levente Hajder

Abstract

Researchers have recently shown that affine transformations between corresponding patches of two images can be applied for 3D reconstruction, including the reconstruction of surface normals. However, the accurate estimation of affine transformations between image patches is very challenging. This paper mainly proposes a novel method to estimate affine transformations from two directions if epipolar geometry of the image pair is known. A reconstruction pipeline is also proposed here in short. As side effects, two proofs are also given. The first one is to determine the relationship between affine transformations and the fundamental matrix, the second one shows how optimal surface normal estimation can be obtained via the roots of a cubic polynomial. A visual debugger is also proposed to validate the estimated surface normals in real images.

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Paper Citation


in Harvard Style

Minh N. and Hajder L. (2020). Affine Transformation from Fundamental Matrix and Two Directions.In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, ISBN 978-989-758-402-2, pages 819-826. DOI: 10.5220/0009154408190826


in Bibtex Style

@conference{visapp20,
author={Nghia Minh and Levente Hajder},
title={Affine Transformation from Fundamental Matrix and Two Directions},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,},
year={2020},
pages={819-826},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009154408190826},
isbn={978-989-758-402-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,
TI - Affine Transformation from Fundamental Matrix and Two Directions
SN - 978-989-758-402-2
AU - Minh N.
AU - Hajder L.
PY - 2020
SP - 819
EP - 826
DO - 10.5220/0009154408190826