Optimal Surface Normal from Affine Transformation
Barath Daniel, Jozsef Molnar, Levente Hajder
2015
Abstract
This paper deals with surface normal estimation from calibrated stereo images. We show here how the affine transformation between two projections defines the surface normal of a 3D planar patch. We give a formula that describes the relationship of surface normals, camera projections, and affine transformations. This formula is general since it works for every kind of cameras. We propose novel methods for estimating the normal of a surface patch if the affine transformation is known between two perspective images. We show here that the normal vector can be optimally estimated if the projective depth of the patch is known. Other non-optimal methods are also introduced for the problem. The proposed methods are tested both on synthesized data and images of real-world 3D objects.
DownloadPaper Citation
in Harvard Style
Daniel B., Molnar J. and Hajder L. (2015). Optimal Surface Normal from Affine Transformation . In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-091-8, pages 305-316. DOI: 10.5220/0005303703050316
in Bibtex Style
@conference{visapp15,
author={Barath Daniel and Jozsef Molnar and Levente Hajder},
title={Optimal Surface Normal from Affine Transformation},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={305-316},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005303703050316},
isbn={978-989-758-091-8},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015)
TI - Optimal Surface Normal from Affine Transformation
SN - 978-989-758-091-8
AU - Daniel B.
AU - Molnar J.
AU - Hajder L.
PY - 2015
SP - 305
EP - 316
DO - 10.5220/0005303703050316