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Qiuzhen College, Tsinghua University
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BIMSA > BIMSA-Tsinghua Seminar on Computational Discrete Global Geometry Structures, Topology Materials and Quantum Computer A generalization of Tutte's harmonic parameterization
A generalization of Tutte's harmonic parameterization
Organizers
Zheng Wei Liu , Shing-Tung Yau , Hui Zhao
Speaker
Edward Chien
Time
Friday, April 29, 2022 9:30 AM - 10:30 AM
Online
Zoom 388 528 9728 (BIMSA)
Abstract
Tutte’s harmonic parameterization method is a discrete realization of the Rado-Kneser-Choquet theorem and is a basic tool for many graphics and geometry processing pipelines. Given a mesh of disk topology, with boundary mapped to the boundary of a convex polygon, a simple linear solve results in a guaranteed bijective parameterization. In two recent graphics works, we generalize this parametrization method for locally injective “seamless” parameterizations of meshes of arbitrary topology (cut to a disk). Analogous boundary conditions are found for this scenario, and a discrete index argument on harmonic forms is used to prove the result. I will sketch this argument, note the relevance of seamless parameterizations to quadrilateral meshing, and discuss our numerical implementation of the result. Time permitting, possible extensions and related works on conformal mapping will be discussed. [1] A. Bright, E. Chien, O. Weber, Harmonic global parameterization with rational holonomy, ACM Transactions on Graphics Vol. 36, No. 4 (SIGGRAPH 2017) [2] E. F. Hefetz, E. Chien, O. Weber, A subspace method for fast locally-injective harmonic mapping, Computer Graphics Forum Vol. 38, No. 2 (Eurographics 2019)
Speaker Intro
Edward Chien is an Assistant Professor of Computer Science at Boston University, having joined recently in 2020. His research applies tools and insights from differential geometry and topology to solve problems in graphics, computational engineering, and machine learning. His work has been published in venues such as SIGGRAPH, SGP, NeurIPS, and ICML. Prior to BU, he was a Postdoc in the Geometric Data Processing group at MIT, led by Justin Solomon, and in Ofir Weber’s lab at Bar-Ilan University. He earned his PhD in Mathematics from Rutgers in 2015 working with Feng Luo.
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