Solving the uncalibrated photometric stereo problem using total variation

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 -