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A L1-TV Algorithm for Robust Perspective Photometric Stereo with Spatially-Varying Lightings

Authors :
François Lauze
Yvain Quéau
Jean-Denis Durou
Real Expression Artificial Life (IRIT-REVA)
Institut de recherche en informatique de Toulouse (IRIT)
Université Toulouse 1 Capitole (UT1)
Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3)
Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP)
Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1)
Université Fédérale Toulouse Midi-Pyrénées
University of Copenhagen = Københavns Universitet (KU)
Centre National de la Recherche Scientifique - CNRS (FRANCE)
Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université Toulouse 1 Capitole - UT1 (FRANCE)
Københavns Universitet - KU (DENMARK)
Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Source :
5th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2015), 5th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2015), May 2015, Lège Cap Ferret, France. pp. 498-510, Lecture Notes in Computer Science ISBN: 9783319184609, SSVM
Publication Year :
2015
Publisher :
HAL CCSD, 2015.

Abstract

International audience; We tackle the problem of perspective 3D-reconstruction of Lambertian surfaces through photometric stereo, in the presence of outliers to Lambert’s law, depth discontinuities, and unknown spatially-varying lightings. To this purpose, we introduce a robust L1-TV variational formulation of the recovery problem where the shape itself is the main unknown, which naturally enforces integrability and permits to avoid integrating the normal field.

Details

Language :
English
ISBN :
978-3-319-18460-9
ISBNs :
9783319184609
Database :
OpenAIRE
Journal :
5th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2015), 5th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2015), May 2015, Lège Cap Ferret, France. pp. 498-510, Lecture Notes in Computer Science ISBN: 9783319184609, SSVM
Accession number :
edsair.doi.dedup.....7524dd9353118ee127b3abbbb01c16b4
Full Text :
https://doi.org/10.1007/978-3-319-18461-6