Amigurumi Crochet Patterns from Geodesic Distances

Year: 2024 Authors: Mirela Ben Chen; Michal Edelstein

Core claim

Geodesic-distance sampling plus curvature-guided stitch selection can automatically produce crochet graphs and patterns that better match a target 3D Amigurumi shape.

Topics

computational crochet, geodesic distances, surface curvature, crochet graph generation

Domains

differential geometry, optimization, surface parameterization, graph embedding, fiber arts, amigurumi, craft design, visualization

Methods

geodesic sampling, equidistant curves, flattening, curvature-adapted sampling

Media

single crochet, FLO stitches, 3D mesh, crochet yarn

Source status

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