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Authors: Doris Antensteiner and Svorad Štolc

Affiliation: Austrian Institute of Technology, Giefinggasse 4, Vienna, Austria

Keyword(s): Photometric Stereo, Surface Normals, Higher-order Polynomials, Depth Reconstruction, Non-Lambertian Materials.

Abstract: In this paper we present and compare two regularized higher-order photometric stereo approaches for the reconstruction of varying albedos and surface normals of non-Lambertian materials. We evaluate the two different higher-order polynomial methods, which we additionally regularize with Tikhonov’s method. The reconstruction of surface properties is essential for a vast amount of industrial applications, such as the identification of surface defects, the analysis of security features or the detection of forged documents. For the reconstruction of Lambertian objects, lower order models can be used to achieve an accurate representation, while higher-order models allow the description of non-Lambertian behaviors accurately. Qualitative and quantitative results on a ground truth dataset as well as on real-world data show that the use of a regularized higher-order polynomial model can significantly improve the surface normal and albedo reconstructions.

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Paper citation in several formats:
Antensteiner, D. and Štolc, S. (2020). Regularization in Higher-order Photometric Stereo Inspection for Non-Lambertian Reflections. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP; ISBN 978-989-758-402-2; ISSN 2184-4321, SciTePress, pages 253-259. DOI: 10.5220/0008945502530259

@conference{visapp20,
author={Doris Antensteiner. and Svorad Štolc.},
title={Regularization in Higher-order Photometric Stereo Inspection for Non-Lambertian Reflections},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP},
year={2020},
pages={253-259},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008945502530259},
isbn={978-989-758-402-2},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP
TI - Regularization in Higher-order Photometric Stereo Inspection for Non-Lambertian Reflections
SN - 978-989-758-402-2
IS - 2184-4321
AU - Antensteiner, D.
AU - Štolc, S.
PY - 2020
SP - 253
EP - 259
DO - 10.5220/0008945502530259
PB - SciTePress

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