GAMES Webinar 2019 – 112期(Geometric Deep Learning 专题进展报告) | Etienne Vouga(UT Austin)

【GAMES Webinar 2019-112期】


报告嘉宾:Etienne Vouga,UT Austin

报告时间:2019年9月26日 晚8:00-9:30(北京时间)

报告题目:Computational Triaxial Weaving of Curved Surfaces


Although weaving as a technique for fabricating baskets and other containers is a timeless art, there are geometric and topological obstructions to weaving general 3D shapes out of thin elastic ribbons such as reed or bamboo. The problem of designing a triaxial weave approximating a target surface, that holds its shape in static equilibrium when fabricated, can be couched in terms of optimizing a vector field on a six-fold branched cover of that surface, with the integral curves of the vector field describing the layout of ribbons on the surface. We discuss the relationship between the physics and geometry and topology of woven structures, describe the optimization of fabricable weave patterns in terms of techniques from discrete differential geometry on vector field design and surface parameterization, and present an algorithmic pipeline for computational design of triaxial weaves on arbitrary curved surfaces using thin ribbons.


Dr. Etienne Vouga is an assistant professor of computer science at the University of Texas at Austin. He received his Ph.D. at Columbia University in 2013 under Eitan Grinpsun and spent a year as an NSF Mathematical Sciences Postdoctoral Fellow at Harvard, working with L. Mahadevan. His research is at the intersection of computer graphics, computational mechanics, and mathematics, and his specific interests include physical simulation of everyday materials like cloth, hair, and paper; algorithms for detecting and resolving collisions that arise during animations; and using geometry processing algorithms and discrete differential geometry to solve design problems such as creating masonry buildings that stand up under their own weight, or origami patterns that compact into a small volume and deploy into large curved shapes.



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