Automatic Machine Knitting of 3D Meshes
| Vidya Narayanan | Lea Albaugh | Jessica Hodgins | Stelian Coros | James McCann |
ACM Trans. Graph. (2018)
We present the first computational approach that can transform 3D meshes, created by traditional modeling programs, directly into instructions for a computer-controlled knitting machine. Knitting machines are able to robustly and repeatably form knitted 3D surfaces from yarn, but have many constraints on what they can fabricate. Given user-defined starting and ending points on an input mesh, our system incrementally builds a helix-free, quad-dominant mesh with uniform edge lengths, runs a tracing procedure over this mesh to generate a knitting path, and schedules the knitting instructions for this path in a way that is compatible with machine constraints. We demonstrate our approach on a wide range of 3D meshes.
Vidya Narayanan, Lea Albaugh, Jessica Hodgins, Stelian Coros, James McCann (2018). Automatic Machine Knitting of 3D Meshes. ACM Trans. Graph., 37(3), 35:1--35:15.
@article{ autoknit,
author = {Vidya Narayanan, Lea Albaugh, Jessica Hodgins, Stelian Coros and James McCann},
title = {Automatic Machine Knitting of 3D Meshes},
journal = {ACM Trans. Graph.},
issue_date = {August 2018},
volume = {37},
number = {3},
month = aug,
year = {2018},
issn = {0730-0301},
pages = {35:1--35:15},
articleno = {35},
numpages = {15},
url = {http://doi.acm.org/10.1145/3186265},
doi = {10.1145/3186265},
acmid = {3186265},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {3D printing, CAM, Knitting, automatic knitting},
}
