Stitch meshing

Kui Wu, Xifeng Gao, Zachary Ferguson, Daniele Panozzo, C. E.M. Yuksel

Research output: Contribution to journalArticle

Abstract

We introduce the first fully automatic pipeline to convert arbitrary 3D shapes into knit models. Our pipeline is based on a global parametrization remeshing pipeline to produce an isotropic quad-dominant mesh aligned with a 2-RoSy field. The knitting directions over the surface are determined using a set of custom topological operations and a two-step global optimization that minimizes the number of irregularities. The resulting mesh is converted into a valid stitch mesh that represents the knit model. The yarn curves are generated from the stitch mesh and the final yarn geometry is computed using a yarn-level relaxation process. Thus, we produce topologically valid models that can be used with a yarn-level simulation. We validate our algorithm by automatically generating knit models from complex 3D shapes and processing over a hundred models with various shapes without any user input or parameter tuning. We also demonstrate applications of our approach for custom knit model generation using fabrication via 3D printing.

Original languageEnglish (US)
Article numberA91
JournalACM Transactions on Graphics
Volume37
Issue number4
DOIs
StatePublished - 2018

Keywords

  • Yarn-level cloth
  • yarn-level modeling

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design

Fingerprint Dive into the research topics of 'Stitch meshing'. Together they form a unique fingerprint.

  • Cite this

    Wu, K., Gao, X., Ferguson, Z., Panozzo, D., & Yuksel, C. E. M. (2018). Stitch meshing. ACM Transactions on Graphics, 37(4), [A91]. https://doi.org/10.1145/3197517.3201360