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. ed. / Arjan Kuijper; Kristian Bredies; Thomas Pock; Horst Bischof. Springer, 2013. p. 270-281 (Lecture notes in computer science, Vol. 7893).
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Harvard
Quéau, Y
, Lauze, FB & Durou, J-D 2013,
Solving the uncalibrated photometric stereo problem using total variation. in A Kuijper, K Bredies, T Pock & H Bischof (eds),
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, vol. 7893, pp. 270-281, 4th International Conference on Scale Space and Variational Methods in Computer Vision, Leibnitz, Austria,
02/06/2013.
https://doi.org/10.1007/978-3-642-38267-3_23APA
Quéau, Y.
, Lauze, F. B., & Durou, J-D. (2013).
Solving the uncalibrated photometric stereo problem using total variation. In A. Kuijper, K. Bredies, T. Pock, & H. Bischof (Eds.),
Scale Space and Variational Methods in Computer Vision: 4th International Conference, SSVM 2013, Schloss Seggau, Leibnitz, Austria, June 2-6, 2013. Proceedings (pp. 270-281). Springer. Lecture notes in computer science Vol. 7893
https://doi.org/10.1007/978-3-642-38267-3_23Vancouver
Quéau Y
, Lauze FB, Durou J-D.
Solving the uncalibrated photometric stereo problem using total variation. In Kuijper A, Bredies K, Pock T, Bischof H, editors, Scale Space and Variational Methods in Computer Vision: 4th International Conference, SSVM 2013, Schloss Seggau, Leibnitz, Austria, June 2-6, 2013. Proceedings. Springer. 2013. p. 270-281. (Lecture notes in computer science, Vol. 7893).
https://doi.org/10.1007/978-3-642-38267-3_23Author
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. editor / Arjan Kuijper ; Kristian Bredies ; Thomas Pock ; Horst Bischof. Springer, 2013. pp. 270-281 (Lecture notes in computer science, Vol. 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",
series = "Lecture notes in computer science",
publisher = "Springer",
pages = "270--281",
editor = "Arjan Kuijper and Kristian Bredies and Thomas Pock and Horst Bischof",
booktitle = "Scale Space and Variational Methods in Computer Vision",
address = "Switzerland",
note = "4th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2013 ; Conference date: 02-06-2013 Through 06-06-2013",
}
RIS
TY - GEN
T1 - Solving the uncalibrated photometric stereo problem using total variation
AU - Quéau, Yvain
AU - Lauze, Francois Bernard
AU - Durou, Jean-Denis
N1 - Conference code: 4
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
T3 - Lecture notes in computer science
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
T2 - 4th International Conference on Scale Space and Variational Methods in Computer Vision
Y2 - 2 June 2013 through 6 June 2013
ER -
