BADF:Bounding Volume Hierarchies Centric Adaptive Distance Field Computation for Deformable Objects on GPUs  被引量:1

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作  者:Xiao-Rui Chen Min Tang Cheng Li Dinesh Manocha Ruo-Feng Tong 陈潇瑞;唐敏;李澄;Dinesh Manocha;童若锋(Laboratory of Geometry,Image and Video Processing Enterprise Intelligent Computing,College of Computer Science and Technology,Zhejiang University,Hangzhou 310007,China;Geometric Algorithms for Modeling,Motion,and Animation Laboratory,University of Maryland,Maryland 20742,U.S.A.)

机构地区:[1]Laboratory of Geometry,Image and Video Processing Enterprise Intelligent Computing,College of Computer Science and Technology,Zhejiang University,Hangzhou 310007,China [2]Geometric Algorithms for Modeling,Motion,and Animation Laboratory,University of Maryland,Maryland 20742,U.S.A.

出  处:《Journal of Computer Science & Technology》2022年第3期731-740,共10页计算机科学技术学报(英文版)

基  金:the National Key Research and Development Program of China under Grant No.2018AAA0102703;the National Natural Science Foundation of China under Grant Nos.61972341,61972342,and 61732015.

摘  要: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.

关 键 词:distance field deformable object graphics processing unit(GPU) OCTREE bounding volume hierarchy 

分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]

 

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