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Fusion d'approches photométriques et géométriques pour la création de modèles 3D

Jean Mélou 1, 2
1 IRIT-REVA - Real Expression Artificial Life
IRIT - Institut de recherche en informatique de Toulouse
Abstract : Practical solutions for 3D-reconstruction from photographs are generally based on multi-view methods (called geometric methods) that only very partially use the photometric information contained in the images. The use of the latter should increase the fineness of the reconstructed relief and allow the estimate of the photometric characteristics of the scene, i.e. surface reflectance and incident lighting. This thesis shows how an approach combining multiview and photometric techniques can effectively improve a 3D-reconstruction pipeline. We start by presenting a way to make the shape-from-shading method operational in daylight conditions. This allows us to combine multiview and photometric approaches in the form of a variational problem, for which we propose a numerical solving scheme. However, like shape-from-shading itself, the proposed method requires an a priori knowledge of reflectance and lighting. We present a method for the joint estimation of both these quantities from a coarse relief of the scene. As a conclusion, we present an algorithm which, from the images used by a multi-view 3D-reconstruction pipeline, allows us to estimate a reflectance map and a depth map per view, as well as the lighting of the scene.
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Submitted on : Wednesday, September 16, 2020 - 11:02:41 AM
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  • HAL Id : tel-02940259, version 1

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Jean Mélou. Fusion d'approches photométriques et géométriques pour la création de modèles 3D. Vision par ordinateur et reconnaissance de formes [cs.CV]. EDMITT, 2020. Français. ⟨tel-02940259⟩

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