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2008
IEEE

GPU-accelerated surface denoising and morphing with lattice Boltzmann scheme

8 years 8 months ago
GPU-accelerated surface denoising and morphing with lattice Boltzmann scheme
In this paper, we introduce a parallel numerical scheme, the lattice Boltzmann method, to shape modeling applications. The motivation of using this originally-designed fluid dynamics solver in surface modeling is its simplicity, locality, parallelism from the cellular-automata-originated updating rules, which can directly be mapped onto modern graphics hardware. A surface is implicitly represented by the signed distance field. The distances are then used in a modified LBM scheme as its computing primitive, instead of the densities in traditional LBM. The scheme can simulate curvature motions to smooth the surface with a diffusion process. Furthermore, an initial value level set method can be implemented for surface morphing. The distance difference between a morphing surface and a target surface defines the speed function of the evolving level sets, and is used as the driving force in the LBM. Our GPUaccelerated LBM algorithm has achieved outstanding performance for the denoising ...
Ye Zhao
Added 01 Jun 2010
Updated 01 Jun 2010
Type Conference
Year 2008
Where SMI
Authors Ye Zhao
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