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 language | English |
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Title of host publication | Proceedings - SIGGRAPH 2023 Conference Papers |
Editors | Stephen N. Spencer |
Publisher | Association for Computing Machinery, Inc |
ISBN (Electronic) | 9798400701597 |
DOIs | |
State | Published - 23 Jul 2023 |
Externally published | Yes |
Event | 2023 Special Interest Group on Computer Graphics and Interactive Techniques Conference, SIGGRAPH 2023 - Los Angeles, United States Duration: 6 Aug 2023 → 10 Aug 2023 |
Publication series
Name | Proceedings - SIGGRAPH 2023 Conference Papers |
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Conference
Conference | 2023 Special Interest Group on Computer Graphics and Interactive Techniques Conference, SIGGRAPH 2023 |
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Country/Territory | United States |
City | Los Angeles |
Period | 6/08/23 → 10/08/23 |
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.
Funders | Funder number |
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NSF GRF | 2141064 |
National Science Foundation | 2047342 |
Keywords
- computational knitting
- stripe texturing