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Solving the uncalibrated photometric stereo problem using total variation

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Yvain Quéau, Francois Bernard Lauze, Jean-Denis Durou

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.
OriginalsprogEngelsk
TitelScale Space and Variational Methods in Computer Vision : 4th International Conference, SSVM 2013, Schloss Seggau, Leibnitz, Austria, June 2-6, 2013. Proceedings
RedaktørerArjan Kuijper, Kristian Bredies, Thomas Pock, Horst Bischof
Antal sider12
ForlagSpringer
Publikationsdato2013
Sider270-281
ISBN (Trykt)978-3-642-38266-6
ISBN (Elektronisk)978-3-642-38267-3
DOI
StatusUdgivet - 2013
Begivenhed4th International Conference on Scale Space and Variational Methods in Computer Vision - Leibnitz, Østrig
Varighed: 2 jun. 20136 jun. 2013
Konferencens nummer: 4

Konference

Konference4th International Conference on Scale Space and Variational Methods in Computer Vision
Nummer4
LandØstrig
ByLeibnitz
Periode02/06/201306/06/2013
NavnLecture notes in computer science
Vol/bind7893
ISSN0302-9743

ID: 45826381