@inproceedings{6c592f57d29149c5b0b5d9574397a639,
title = "AmiGo: Computational Design of Amigurumi Crochet Patterns",
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.",
keywords = "computational knitting, crochet, geometry processing",
author = "Michal Edelstein and Hila Peleg and Shachar Itzhaky and Mirela Ben-Chen",
note = "Publisher Copyright: {\textcopyright} 2022 Owner/Author.; 7th Annual ACM Symposium on Computational Fabrication, SCF 2022 ; Conference date: 26-10-2022 Through 28-10-2022",
year = "2022",
month = oct,
day = "26",
doi = "10.1145/3559400.3562005",
language = "الإنجليزيّة",
series = "Proceedings - SCF 2022 - 7th Annual ACM Symposium on Computational Fabrication",
editor = "Spencer, \{Stephen N.\}",
booktitle = "Proceedings - SCF 2022 - 7th Annual ACM Symposium on Computational Fabrication",
}