Legible Visualization of Semi-Transparent Objects using Light Transport

Abstract : Exploring and understanding volumetric or surface data is one of the challenges of Computer Graphics. The appearance of these data can be modeled and visualized using light transport theory. For the sake of understanding such a data visualization, transparent materials are widely used. If solutions exist to correctly simulate the light propagation and display semi-transparent objects, offering a understandable visualization remains an open research topic. The goal of this thesis is twofold. First, an in-depth analysis of the optical model for light transport and its implication on computer generated images is performed. Second, this knowledge can be used to tackle the problematic of providing efficient and reliable solution to visualize transparent and semi-transparent media. In this manuscript, we first introduce the general optical model for light transport in participating media, its simplification to surfaces, and how it is used in computer graphics to generate images. Second, we present a solution to improve shape depiction in the special case of surfaces. The proposed technique uses light transport as a basis to change the lighting process and modify the materials appearance and opacity. Third, we focus on the problematic of using full volumetric data instead of the simplified case of surfaces. In this case, changing only the material properties has a limited impact, thus we study how light transport can be used to provide useful information for participating media. Last, we present our light transport model for participating media that aims at exploring part of interest of a volume.
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https://tel.archives-ouvertes.fr/tel-02048824
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Submitted on : Monday, February 25, 2019 - 6:35:10 PM
Last modification on : Tuesday, April 2, 2019 - 2:27:39 AM

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  • HAL Id : tel-02048824, version 1

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David Murray. Legible Visualization of Semi-Transparent Objects using Light Transport. Image Processing [eess.IV]. Université de Bordeaux, 2018. English. ⟨NNT : 2018BORD0326⟩. ⟨tel-02048824⟩

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