期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
BADF:Bounding Volume Hierarchies Centric Adaptive Distance Field Computation for Deformable Objects on GPUs 被引量:1
1
作者 Xiao-Rui Chen Min Tang +2 位作者 Cheng Li Dinesh Manocha Ruo-Feng Tong 《Journal of Computer Science & Technology》 SCIE EI CSCD 2022年第3期731-740,共10页
We present a novel algorithm BADF(Bounding Volume Hierarchy Based Adaptive Distance Fields)for accelerating the construction of ADFs(adaptive distance fields)of rigid and deformable models on graphics processing units... We present a novel algorithm BADF(Bounding Volume Hierarchy Based Adaptive Distance Fields)for accelerating the construction of ADFs(adaptive distance fields)of rigid and deformable models on graphics processing units.Our approach is based on constructing a bounding volume hierarchy(BVH)and we use that hierarchy to generate an octree-based ADF.We exploit the coherence between successive frames and sort the grid points of the octree to accelerate the computation.Our approach is applicable to rigid and deformable models.Our GPU-based(graphics processing unit based)algorithm is about 20x--50x faster than current mainstream central processing unit based algorithms.Our BADF algorithm can construct the distance fields for deformable models with 60k triangles at interactive rates on an NVIDIA GTX GeForce 1060.Moreover,we observe 3x speedup over prior GPU-based ADF algorithms. 展开更多
关键词 distance field deformable object graphics processing unit(GPU) OCTREE bounding volume hierarchy
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部