5 research outputs found

    Procedural Texture Extrapolation

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    We introduce a new texture basis function which generalizes noise models and can handle various kinds of spatial stochastic structures. More versatile than noise, its genericity offers improved texture authoring possibilities compared to by–example texture synthesis

    Terrain generation using procedural models based on hydrology

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    International audienceWe present a framework that allows quick and intuitive modeling of terrains using concepts inspired by hydrology. The terrain is generated from a simple initial sketch, controlled by a few parameters, and can be considered hydrographically realistic and visually plausible. Our terrain representation is both analytic and continuous, and can be rendered using varying level of detail. The terrain data is stored in a novel data structure: a construction tree whose internal nodes define a combination of operations, and whose leaves represent terrain features. The framework uses rivers as modeling elements and it first creates a hierarchical drainage network that is represented as a geometric graph over a given input domain. The network is then analyzed to construct watersheds and to characterize the different types and trajectories of rivers. The terrain is finally generated by combining procedural terrain and river patches with blending and carving operators

    Windy trees

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    We present a novel method for combining developmental tree models with turbulent wind fields. The tree geometry is created from internal growth functions of the developmental model and its response to external stress is induced by a physically-plausible wind field that is simulated by Smoothed Particle Hydrodynamics (SPH).Our tree models are dynamically evolving complex systems that (1) react in real-time to high-frequent changes of the wind simulation; and (2) adapt to long-term wind stress. We extend this process by wind-related effects such as branch breaking as well as budabrasion and drying. In our interactive system the user can adjust the parameters of the growth model, modify wind properties and resulting forces, and define the tree’s long-term response to wind. By using graphics hardware, our implementation runs at interactive rates for moderately large scenes composed of up to 20 tree models
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