Procedural generation of world

In this thesis, we address the problem of automatic generation of graphical content with a high level of detail for the generation of worlds. In this quest for realism, the major scientific and technical challenges include: managing the mass of geometric data needed to create varieties of natural objects, taking into account interactions with the various objects and user control.Our approach is based on an original volumetric model for representing and unifying the different materials of land. We offer a range of high-level algorithms, combining simulation steps to ensure physical plausibility and visual realism, and procedural generation techniques to effectively manage complexity. Our algorithms are used to sculpt and complex terrain with caves and overhangs and generate roads with tunnels and bridges to cross natural barriers.

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Additional Info

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Source https://theses.hal.science/tel-00841373
Author Peytavie, Adrien
Maintainer CCSD
Last Updated May 10, 2026, 11:28 (UTC)
Created May 10, 2026, 11:28 (UTC)
Identifier NNT: 2010LYO10112
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Modélisation Géométrique, Géométrie Algorithmique, Fractales (GeoMod) ; Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS) ; Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL) ; Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL) ; Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon) ; Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL) ; Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL) ; Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon) ; Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)
creator Peytavie, Adrien
date 2010-07-07T00:00:00
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harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-31T00:00:00
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