IEEE Trans Vis Comput Graph - Fast Sparse Level Sets on Graphics Hardware.

Tópicos

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Resumo

The level-set method is one of the most popular techniques for capturing and tracking deformable interfaces. Although level sets have demonstrated great potential in visualization and computer graphics applications, such as surface editing and physically based modeling, their use for interactive simulations has been limited due to the high computational demands involved. In this paper, we address this computational challenge by leveraging the increased computing power of graphics processors, to achieve fast simulations based on level sets. Our efficient, sparse GPU level-set method is substantially faster than other state-of-the-art, parallel approaches on both CPU and GPU hardware. We further investigate its performance through a method for surface reconstruction, based on GPU level sets. Our novel multiresolution method for surface reconstruction from unorganized point clouds compares favorably with recent, existing techniques and other parallel implementations. Finally, we point out that both level-set computations and rendering of level-set surfaces can be performed at interactive rates, even on large volumetric grids. Therefore, many applications based on level sets can benefit from our sparse level-set method.

Resumo Limpo

levelset method one popular techniqu captur track deform interfac although level set demonstr great potenti visual comput graphic applic surfac edit physic base model use interact simul limit due high comput demand involv paper address comput challeng leverag increas comput power graphic processor achiev fast simul base level set effici spars gpu levelset method substanti faster stateoftheart parallel approach cpu gpu hardwar investig perform method surfac reconstruct base gpu level set novel multiresolut method surfac reconstruct unorgan point cloud compar favor recent exist techniqu parallel implement final point levelset comput render levelset surfac can perform interact rate even larg volumetr grid therefor mani applic base level set can benefit spars levelset method

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