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Solving Uncalibrated Photometric Stereo using Total Variation

Quéau, Yvain and Lauze, François and Durou, Jean-Denis Solving Uncalibrated Photometric Stereo using Total Variation. (2015) Journal of Mathematical Imaging and Vision, vol. 52 (n° 1). pp. 87-107. ISSN 0924-9907

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Official URL: http://dx.doi.org/10.1007/s10851-014-0512-5

Abstract

Estimating the shape and appearance of an object, given one or several images, is still an open and challenging research problem called 3D-reconstruction. Among the different techniques available, photometric stereo (PS) produces highly accurate results when the lighting conditions have been identified. When these conditions are unknown, the problem becomes the so-called uncalibrated PS problem, which is ill-posed. In this paper, we will show how total variation can be used to reduce the ambiguities of uncalibrated PS, and we will study two methods for estimating the parameters of the generalized bas-relief ambiguity. These methods will be evaluated through the 3D-reconstruction of real-world objects.

Item Type:Article
Additional Information:Thanks to Springer editor. The definitive version is available at http://link.springer.com This papers appears in Journal of Mathematical Imaging and Vision ISSN 0924-9907. The original PDF of the article can be found at : http://link.springer.com/article/10.1007/s10851-014-0512-5
HAL Id:hal-01360868
Audience (journal):International peer-reviewed journal
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 Paul Sabatier-Toulouse III - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université de Toulouse I-Sciences Sociales - UT1 (FRANCE)
Other partners > Københavns Universitet - KU (DENMARK)
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Deposited By: IRIT IRIT
Deposited On:06 Jul 2016 11:39

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