Adaptive Sampling of Implicit Surfaces for Interactive Modeling and Animation

Mathieu Desbrun 1 Nicolas Tsingos 1, * Marie-Paule Cani 1, *
* Corresponding author
1 iMAGIS - Models, Algorithms and Geometry for Computer Generated Image Graphics
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes
Abstract : This paper presents a new adaptive sampling method for implicit surfaces that can been used in both interactive modeling and animation. The algorithm samples implicit objects generated by skeletons and efficiently maintains this sampling, even when their topology changes over time such as during fractures and fusions. It provides two complementary modes of immediate visualization: displaying "scales" lying on the surface, or a piecewise polygonization. The sampling method is particularly well suited to efficiently avoid "unwanted blending" between different parts of an object. Moreover, it can be used for partitioning the implicit surface into local bounding boxes thet will accelerate collision detection during animations and ray-intersections during final rendering.
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Mathieu Desbrun, Nicolas Tsingos, Marie-Paule Cani. Adaptive Sampling of Implicit Surfaces for Interactive Modeling and Animation. Implicit Surfaces, Apr 1995, Grenoble, France. pp.319-325. ⟨inria-00537541⟩

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