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Design inverse de l'apparence de matériaux multicouches

Abstract : Computer generated images are becoming more and more realistic, to the extent that they are sometimes indistinguishable from photographs, in part due to the plausibility of the materials represented.In particular, layered materials allow a range of appearance, such as leaves, glazed ceramics or car paints.In this thesis, we restrict ourselves to the study of materials with thick layers, in which the propagation of light can be modeled by the laws of geometrical optics.Some models can be used to predict quickly this appearance from the physical parameters of the different layers, for example the roughness of the interfaces, the refractive indices of the media or the absorption in the layers.The final appearance is then controlled or designed by modifying the physical parameters one by one, through a process of trial and error.However, this task is tedious because the parameters are numerous and they all affect the final appearance.Our goal is then to provide a more direct control of the appearance properties.In this thesis, we first study two analytical models of layered materials that meet our assumptions, to ensure their accuracy.Based on this analysis, we select the most accurate one, which is the model of Belcour, to invert it.We then propose a method allowing, from appearance properties such as color and sharpness of reflections, to compute automatically a set of physical parameter configurations producing this expected appearance.Indeed, several sets of different physical parameters can yield a similar appearance, which we call an equivalence class.Therefore, we propose a method to navigate through these equivalence classes, allowing us to explore the space of layered material appearance.
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Submitted on : Monday, February 14, 2022 - 11:30:35 AM
Last modification on : Sunday, October 16, 2022 - 8:29:09 PM
Long-term archiving on: : Sunday, May 15, 2022 - 6:38:38 PM


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  • HAL Id : tel-03572376, version 1



Mégane Bati. Design inverse de l'apparence de matériaux multicouches. Traitement des images [eess.IV]. Université de Bordeaux, 2021. Français. ⟨NNT : 2021BORD0396⟩. ⟨tel-03572376⟩



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