dc.contributor.author	Lippincott, Keith	en_US
dc.contributor.author	Hatton, Ross L.	en_US
dc.contributor.author	Grimm, Cindy	en_US
dc.contributor.editor	Kaplan, Craig S. and Forbes, Angus and DiVerdi, Stephen	en_US
dc.date.accessioned	2019-05-20T09:50:05Z
dc.date.available	2019-05-20T09:50:05Z
dc.date.issued	2019
dc.description.abstract	In this work we propose a curve approximation method that operates in the curvature domain. The curvature is represented using one of several different types of basis functions (linear, quadratic, spline, sinusoidal, orthogonal polynomial), and the curve's geometry is reconstructed from that curvature basis. Our hypothesis is that different curvature bases will result in different aesthetics for the reconstructed curve. We conducted a user study comparing multiple curvature bases, both for aesthetics and similarity to the original curve, and found statistically significant differences in how people ranked the reconstructed curve's aesthetics and similarity. To support adaptive curve fitting we developed a fitting algorithm that matches the original curve's geometry and explicitly accounts for corners.	en_US
dc.description.sectionheaders	Fancy Shapes
dc.description.seriesinformation	ACM/EG Expressive Symposium
dc.identifier.doi	10.2312/exp.20191081
dc.identifier.isbn	978-3-03868-078-9
dc.identifier.pages	101-110
dc.identifier.uri	https://doi.org/10.2312/exp.20191081
dc.identifier.uri	https://diglib.eg.org:443/handle/10.2312/exp20191081
dc.publisher	The Eurographics Association	en_US
dc.title	Aesthetics of Curvature Bases for Sketches	en_US

Aesthetics of Curvature Bases for Sketches

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