Sketch-Based Design of Foundation Paper Pieceable Quilts
Name
3526113.3545643.pdf
Size
84.19 MB
Format
Adobe PDF
Checksum (MD5)
417a4f0c5a7f31bfe66a5a09f55e88bd
Author(s)
Leake, Mackenzie
Bernstein, Gilbert
Agrawala, Maneesh
Date Issued
October 28, 2022
Publisher
Association for Computing Machinery
Citation
Mackenzie Leake, Gilbert Bernstein, and Maneesh Agrawala. 2022. Sketch-Based Design of Foundation Paper Pieceable Quilts. In Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology (UIST '22). Association for Computing Machinery, New York, NY, USA, Article 21, 1–11.
Version
Final published version
Abstract
Foundation paper piecing is a widely used quilt-making technique in which fabric pieces are sewn onto a paper guide to facilitate construction. But, designing paper pieceable quilt patterns is challenging because the sewing process imposes constraints on both the geometry and sewing order of the fabric pieces. Based on a formative study with expert quilt designers, we develop a novel sketch-based tool for designing such quilt patterns. Our tool lets designers sketch a partial design as a set of edges, which may intersect but do not have to form closed polygons, and our tool automatically completes it into a fully paper pieceable pattern. We contribute a new sketch-completion algorithm that extends the input sketched edges into a planar mesh composed of closed polygonal faces representing fabric pieces, determines a paper pieceable sewing order for the faces, and breaks complicated sketches into independently paper pieceable sections when necessary. A partial input design often admits multiple visually different completions. Thus, our tool lets designers specify completion heuristics, which are based on current quilt design practices, to control the appearance of the completed quilt. Initial user evaluations with novice and expert quilt designers suggest that our tool fits within current design workflows and greatly facilitates designing foundation paper pieceable quilts by allowing users to focus on the visual design rather than tedious constraint checks.
Description
UIST ’22, October 29-November 2, 2022, Bend, OR, USA
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution-NonCommercial
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3526113.3545643
