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DTSTAMP:20260817T171530Z
LOCATION:Hall B5 (1)\, B Block\, Level 5
DTSTART;TZID=Asia/Tokyo:20241204T151300
DTEND;TZID=Asia/Tokyo:20241204T152700
UID:siggraphasia_SIGGRAPH Asia 2024_sess118_papers_473@linklings.com
SUMMARY:Chebyshev Parameterization for Woven Fabric Modeling
DESCRIPTION:Annika Oehri (ETH Zürich) and Aviv Segall, Jing Ren, and Olga 
 Sorkine-Hornung (ETH Zurich)\n\nDistortion-minimizing surface parameteriza
 tion is an essential step for computing 2D pieces necessary to fabricate a
  target 3D shape from flat material. Garment design and textile fabricatio
 n are a prominent application example. Common distortion measures quantify
  length, angle or area preservation in an isotropic manner, so that when a
 pplied to woven textile fabrication, they implicitly assume fabric behaves
  like paper, which is inextensible in all directions and does not permit s
 hearing. However, woven fabric differs significantly from paper: it exhibi
 ts anisotropy along the yarn directions and allows for some degree of shea
 ring. We propose a novel distortion energy based on Chebyshev nets that an
 isotropically penalizes shearing and stretching. Our energy formulation ca
 n be used as an optimization objective for surface parameterization and is
  simple to minimize via a local-global algorithm. We demonstrate its advan
 tages in modeling nets or woven fabric behavior over the commonly used iso
 tropic distortion energies.\n\nRegistration Category: Full Access, Full Ac
 cess Supporter\n\nLanguage Format: English Language\n\nSession Chair: Meng
  Zhang (Nanjing University of Science and Technology)\n\n
URL:https://asia.siggraph.org/2024/program/?id=papers_473&sess=sess118
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