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


Paper Publications

Conformal Parameterization for High Genus Surfaces

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Impact Factor:1.165

DOI number:10.3724/SP.J.1089.2017.16533

Affiliation of Author(s):中国计算机学会;北京中科期刊出版有限公司

Journal:Journal of Computer-Aided Design and Computer Graphics

Place of Publication:北京市

Abstract:Conformal mapping which preserves angle plays a fundamental role in computer graphics, geometry processing and parameterization. For discrete harmonic mapping has rigorous theoretical foundation and can be computed conveniently, we propose a new method to compute conformal mappings from high genus surfaces to parameterization domain based on the nonlinear diffusion of harmonic mapping. Given a high genus surface, we firstly establish an initial harmonic map from the fundamental domain of given surface to parameterization domain by using greedy algorithm and solving a sparse linear system. Then we reduce the harmonic energy by adjusting the boundary condition with nonlinear diffusion process. Finally we obtain a conformal parameterization by minimizing the harmonic energy. Experimental results show that the method is intrinsic and stable, and the final mapping preserves angles of surface triangular mesh well. This algorithm is robust, for it doesn't require high quality meshes. And it has better angle preserving result comparing to other classical conformal mapping ideas. This method can be applied to many fields like parameterization, texture mapping and surface registration.

Co-author:Zhang Jialing,Li Yinghua,Lyu Yibin

First Author:Qian Kun

Indexed by:Journal paper

Correspondence Author:Su Kehua

Document Type:J

Volume:29

Issue:12

Page Number:2225-2234

ISSN No.:1003-9775

Translation or Not:no

CN No.:11-2925/TP

Date of Publication:2017-12-25

Included Journals:EI

Profile

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)专委会执行委员。