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A variational approach to shape-from-shading under natural illumination

Quéau, Yvain and Mélou, Jean and Castan, Fabien and Cremers, Daniel and Durou, Jean-Denis A variational approach to shape-from-shading under natural illumination. (2018) In: International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 30 October 2017 - 1 November 2017 (Venise, Italy).

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Official URL: https://doi.org/10.1007/978-3-319-78199-0_23

Abstract

A numerical solution to shape-from-shading under natural illumination is presented. It builds upon an augmented Lagrangian approach for solving a generic PDE-based shape-from-shading model which handles directional or spherical harmonic lighting, orthographic or perspective projection, and greylevel or multi-channel images. Real-world applications to shading-aware depth map denoising, refinement and completion are presented.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Bibliographic references : Pelillo M., Hancock E. (eds) Energy Minimization Methods in Computer Vision and Pattern Recognition : 11th International Conference, EMMCVPR 2017, Venice, Italy, October 30 – November 1, 2017, (Lecture Notes in Computer Science, vol. 10746), Springer, Cham
HAL Id:hal-02651465
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 - Toulouse INP (FRANCE)
Other partners > Technische Universität München - TUM (GERMANY)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Mikros Image (FRANCE)
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Deposited On:14 May 2020 12:21

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