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AmiGo: Computational Design of Amigurumi Crochet Patterns

Michal Edelstein, Hila Peleg, Shachar Itzhaky, Mirela Ben-Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We propose an approach for generating crochet instructions (patterns) from an input 3D model. We focus on Amigurumi, which are knitted stuffed toys. Given a closed triangle mesh, and a single point specified by the user, we generate crochet instructions, which when knitted and stuffed result in a toy similar to the input geometry. Our approach relies on constructing the geometry and connectivity of a Crochet Graph, which is then translated into a crochet pattern. We segment the shape automatically into chrochetable components, which are connected using the join-as-you-go method, requiring no additional sewing. We demonstrate that our method is applicable to a large variety of shapes and geometries, and yields easily crochetable patterns.

Original languageEnglish
Title of host publicationProceedings - SCF 2022 - 7th Annual ACM Symposium on Computational Fabrication
EditorsStephen N. Spencer
ISBN (Electronic)9781450398725
DOIs
StatePublished - 26 Oct 2022
Event7th Annual ACM Symposium on Computational Fabrication, SCF 2022 - Seattle, United States
Duration: 26 Oct 202228 Oct 2022

Publication series

NameProceedings - SCF 2022 - 7th Annual ACM Symposium on Computational Fabrication

Conference

Conference7th Annual ACM Symposium on Computational Fabrication, SCF 2022
Country/TerritoryUnited States
CitySeattle
Period26/10/2228/10/22

Keywords

  • computational knitting
  • crochet
  • geometry processing

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Applied Mathematics
  • Human-Computer Interaction
  • General Materials Science
  • Computer Graphics and Computer-Aided Design

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