苏科华
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
E-Mail:
Date of Employment:2008-11-02
School/Department:计算机学院
Education Level:研究生毕业
Business Address:D203
Gender:Male
Contact Information:13517299596
Status:Employed
Discipline:Computer Applications Technology
Communications and Information Systems
Other specialties in Software Engineering
Cyberspace Security
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Impact Factor:4.3
DOI number:10.1016/j.cad.2016.05.020
Affiliation of Author(s):ELSEVIER SCI LTD
Journal:COMPUTER-AIDED DESIGN
Place of Publication:THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
Key Words:Parameterization;Volume preserving;Harmonic map;Optimal mass transportation
Abstract:In order to convert a finite element mesh model to the spline representation for the purpose of isogeometric analysis, one needs to parameterize the solid. This work introduces a novel volumetric parameterization method, which guarantees to be free of volume distortion. Given a simply connected tetrahedral mesh with a single boundary surface, we first compute a harmonic map from the boundary triangle mesh to the unit sphere by non-linear heat diffusion method; then we use the surface harmonic map as the boundary condition to compute the volumetric harmonic map to parameterize the solid onto the unit solid ball; finally we compute an optimal mass transportation map from the unit solid ball with the push-forward volume element induced by the harmonic map onto itself with the Euclidean volume element. The composition of the volumetric harmonic map and the optimal mass transportation map gives an volume-preserving parameterization. The method has solid theoretic foundation, and is based on conventional algorithms in computational geometry, easy to implement. We have thoroughly tested our algorithm on many solid models in reality. The experimental results demonstrate the efficiency and efficacy of the proposed method. To the best of our knowledge, it is the first work addressing volume-preserving parameterization in the literature. (C) 2016 Elsevier Ltd. All rights reserved.
Co-author:Chen Wei,Zhang Junwei,Qian Kun,Gu Xianfeng
First Author:Su Kehua
Indexed by:Article
Correspondence Author:Lei Na
Document Type:J
Volume:82
Page Number:42-56
ISSN No.:0010-4485
Translation or Not:no
Date of Publication:2017-02-08
苏科华,男,武汉大学计算机学院教授、博导;武汉大学科技成果转化中心(技术转移中心)副主任。研究主要集中在最优传输(Optimal Transport)领域,它是研究概率测度间最优变换的一类优化问题。在计算机图形学、机器视觉、人工智能、医学图像处理等领域有着广泛的应用。本人主要研究最优传输的几何计算理论和高效算法,并将其应用于网格保测参数化、三维场景优化、智能烧伤评估和卫星互联网任务优化中。主持包括国家自然科学基金、中央军科委、航天5院、华为公司等20多个项目支持,发表论文50余篇,获批发明专利10余项。为CCF计算机辅助设计与图形学(CAD/CG)和虚拟现实与可视化(TCVRV)专委会的执行委员。