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Solving the Uncalibrated Photometric Stereo Problem using Total Variation

Quéau, Yvain and Lauze, François and Durou, Jean-Denis Solving the Uncalibrated Photometric Stereo Problem using Total Variation. (2013) In: International Conference on Scale Space and Variational Methods in Computer Vision - SSVM 2013, 2 June 2013 - 6 June 2013 (Schloss Seggau, Austria).

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Official URL: http://dx.doi.org/10.1007/978-3-642-38267-3_23

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.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Springer editor. The definitive version is available at http://link.springer.com/chapter/10.1007/978-3-642-38267-3_23
HAL Id:hal-01143231
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Københavns Universitet - KU (DENMARK)
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Deposited By: IRIT IRIT
Deposited On:17 Apr 2015 08:23

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