Helix-Free Stripes for Knit Graph Design

Rahul Mitra, Liane Makatura, Emily Whiting, Edward Chien

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

9 Scopus citations

Abstract

The problem of placing evenly-spaced stripes on a triangular mesh mirrors that of having evenly-spaced course rows and wale columns in a knit graph for a given geometry. This work presents strategies for producing helix-free stripe patterns and traces them to produce helix-free knit graphs suitable for machine knitting. We optimize directly for the discrete differential (1-form) of the stripe texture function, i.e., the spinning form, and demonstrate the knitting-specific advantages of this framework. In particular, we note how simple linear constraints allow us to place stitch irregularities, align course rows and wale columns to boundary/feature curves, and eliminate helical stripes. Two mixed-integer optimization strategies using these constraints are presented and applied to several mesh models. The results are smooth, globally-informed, helix-free stripe patterns that we trace to produce machine-knittable graphs. We further provide an explicit characterization of helical stripes and a theoretical analysis of their elimination constraints.

Original languageEnglish
Title of host publicationProceedings - SIGGRAPH 2023 Conference Papers
EditorsStephen N. Spencer
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9798400701597
DOIs
StatePublished - 23 Jul 2023
Externally publishedYes
Event2023 Special Interest Group on Computer Graphics and Interactive Techniques Conference, SIGGRAPH 2023 - Los Angeles, United States
Duration: 6 Aug 202310 Aug 2023

Publication series

NameProceedings - SIGGRAPH 2023 Conference Papers

Conference

Conference2023 Special Interest Group on Computer Graphics and Interactive Techniques Conference, SIGGRAPH 2023
Country/TerritoryUnited States
CityLos Angeles
Period6/08/2310/08/23

Bibliographical note

Publisher Copyright:
© 2023 ACM.

Funding

This work is partially supported by the National Science Foundation (NSF) under Grant No. 2047342 and the National Science Foundation Graduate Research Fellowship (NSF GRF) under Grant No. 2141064. We would like to thank James McCann, Kui Wu, and Alexendre Kaspar for permission to use figures.

FundersFunder number
NSF GRF2141064
National Science Foundation2047342

    Keywords

    • computational knitting
    • stripe texturing

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