Solving the uncalibrated photometric stereo problem using total variation

Yvain Quéau; Francois Bernard Lauze; Jean-Denis Durou

doi:10.1007/978-3-642-38267-3_23

Solving the uncalibrated photometric stereo problem using total variation

Yvain Quéau, Francois Bernard Lauze, Jean-Denis Durou

Department of Computer Science

4 Citations (Scopus)

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.

Original language	English
Title of host publication	Scale Space and Variational Methods in Computer Vision : 4th International Conference, SSVM 2013, Schloss Seggau, Leibnitz, Austria, June 2-6, 2013. Proceedings
Editors	Arjan Kuijper, Kristian Bredies, Thomas Pock, Horst Bischof
Number of pages	12
Publisher	Springer
Publication date	2013
Pages	270-281
ISBN (Print)	978-3-642-38266-6
ISBN (Electronic)	978-3-642-38267-3
DOIs	https://doi.org/10.1007/978-3-642-38267-3_23
Publication status	Published - 2013
Event	4th International Conference on Scale Space and Variational Methods in Computer Vision - Leibnitz, Austria Duration: 2 Jun 2013 → 6 Jun 2013 Conference number: 4

Conference

Conference	4th International Conference on Scale Space and Variational Methods in Computer Vision
Number	4
Country/Territory	Austria
City	Leibnitz
Period	02/06/2013 → 06/06/2013

Series	Lecture notes in computer science
Volume	7893
ISSN	0302-9743

Access to Document

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

Cite this

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_23

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

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_23

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). doi: 10.1007/978-3-642-38267-3_23

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).

@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",

note = "4th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2013 ; Conference date: 02-06-2013 Through 06-06-2013",

}

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 -