Solving the uncalibrated photometric stereo problem using total variation

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Standard

Solving the uncalibrated photometric stereo problem using total variation. / Quéau, Yvain; Lauze, Francois Bernard; Durou, Jean-Denis.

Scale Space and Variational Methods in Computer Vision: 4th International Conference, SSVM 2013, Schloss Seggau, Leibnitz, Austria, June 2-6, 2013. Proceedings. red. / Arjan Kuijper; Kristian Bredies; Thomas Pock; Horst Bischof. Springer, 2013. s. 270-281.

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Harvard

Quéau, Y, Lauze, FB & Durou, J-D 2013, Solving the uncalibrated photometric stereo problem using total variation. i A Kuijper, K Bredies, T Pock & H Bischof (red), Scale Space and Variational Methods in Computer Vision: 4th International Conference, SSVM 2013, Schloss Seggau, Leibnitz, Austria, June 2-6, 2013. Proceedings. Springer, Lecture notes in computer science, bind 7893, s. 270-281, Leibnitz, Østrig, 02/06/2013. https://doi.org/10.1007/978-3-642-38267-3_23

APA

Quéau, Y., Lauze, F. B., & Durou, J-D. (2013). Solving the uncalibrated photometric stereo problem using total variation. I A. Kuijper, K. Bredies, T. Pock, & H. Bischof (red.), Scale Space and Variational Methods in Computer Vision: 4th International Conference, SSVM 2013, Schloss Seggau, Leibnitz, Austria, June 2-6, 2013. Proceedings (s. 270-281). Springer. Lecture notes in computer science, Bind. 7893 https://doi.org/10.1007/978-3-642-38267-3_23

Vancouver

Quéau Y, Lauze FB, Durou J-D. Solving the uncalibrated photometric stereo problem using total variation. I Kuijper A, Bredies K, Pock T, Bischof H, red., Scale Space and Variational Methods in Computer Vision: 4th International Conference, SSVM 2013, Schloss Seggau, Leibnitz, Austria, June 2-6, 2013. Proceedings. Springer. 2013. s. 270-281. (Lecture notes in computer science, Bind 7893). https://doi.org/10.1007/978-3-642-38267-3_23

Author

Quéau, Yvain ; Lauze, Francois Bernard ; Durou, Jean-Denis. / Solving the uncalibrated photometric stereo problem using total variation. Scale Space and Variational Methods in Computer Vision: 4th International Conference, SSVM 2013, Schloss Seggau, Leibnitz, Austria, June 2-6, 2013. Proceedings. red. / Arjan Kuijper ; Kristian Bredies ; Thomas Pock ; Horst Bischof. Springer, 2013. s. 270-281 (Lecture notes in computer science, Bind 7893).

Bibtex

@inproceedings{89bfd52ec54a408d997411e0340d351d,
title = "Solving the uncalibrated photometric stereo problem using total variation",
abstract = "In this paper we propose a new method to solve the problem of uncalibrated photometric stereo, making very weak assumptions on the properties of the scene to be reconstructed. Our goal is to solve the generalized bas-relief ambiguity (GBR) by performing a total variation regularization of both the estimated normal field and albedo. Unlike most of the previous attempts to solve this ambiguity, our approach does not rely on any prior information about the shape or the albedo, apart from its piecewise smoothness. We test our method on real images and obtain results comparable to the state-of-the-art algorithms.",
author = "Yvain Qu{\'e}au and Lauze, {Francois Bernard} and Jean-Denis Durou",
year = "2013",
doi = "10.1007/978-3-642-38267-3_23",
language = "English",
isbn = "978-3-642-38266-6",
pages = "270--281",
editor = "Arjan Kuijper and Kristian Bredies and Thomas Pock and Horst Bischof",
booktitle = "Scale Space and Variational Methods in Computer Vision",
publisher = "Springer",

}

RIS

TY - GEN

T1 - Solving the uncalibrated photometric stereo problem using total variation

AU - Quéau, Yvain

AU - Lauze, Francois Bernard

AU - Durou, Jean-Denis

PY - 2013

Y1 - 2013

N2 - In this paper we propose a new method to solve the problem of uncalibrated photometric stereo, making very weak assumptions on the properties of the scene to be reconstructed. Our goal is to solve the generalized bas-relief ambiguity (GBR) by performing a total variation regularization of both the estimated normal field and albedo. Unlike most of the previous attempts to solve this ambiguity, our approach does not rely on any prior information about the shape or the albedo, apart from its piecewise smoothness. We test our method on real images and obtain results comparable to the state-of-the-art algorithms.

AB - In this paper we propose a new method to solve the problem of uncalibrated photometric stereo, making very weak assumptions on the properties of the scene to be reconstructed. Our goal is to solve the generalized bas-relief ambiguity (GBR) by performing a total variation regularization of both the estimated normal field and albedo. Unlike most of the previous attempts to solve this ambiguity, our approach does not rely on any prior information about the shape or the albedo, apart from its piecewise smoothness. We test our method on real images and obtain results comparable to the state-of-the-art algorithms.

U2 - 10.1007/978-3-642-38267-3_23

DO - 10.1007/978-3-642-38267-3_23

M3 - Article in proceedings

SN - 978-3-642-38266-6

SP - 270

EP - 281

BT - Scale Space and Variational Methods in Computer Vision

A2 - Kuijper, Arjan

A2 - Bredies, Kristian

A2 - Pock, Thomas

A2 - Bischof, Horst

PB - Springer

ER -

ID: 45826381