StrokeStyles: Stroke-based Segmentation and Stylization of Fonts

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Berio, Daniel; Leymarie, Frederic Fol; Asente, Paul and Echevarria, Jose. 2022. StrokeStyles: Stroke-based Segmentation and Stylization of Fonts. ACM Transactions on Graphics, 41(3), 28. ISSN 0730-0301 [Article]

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Official URL: https://doi.org/10.1145/3505246

Abstract or Description

We develop a method to automatically segment a font’s glyphs into a set of overlapping and intersecting strokes with the aim of generating artistic stylizations. The segmentation method relies on a geometric analysis of the glyph’s outline, its interior, and the surrounding areas and is grounded in perceptually informed principles and measures. Our method does not require training data or templates and applies to glyphs in a large variety of input languages, writing systems, and styles. It uses the medial axis, curvilinear shape features that specify convex and concave outline parts, links that connect concavities, and seven junction types. We show that the resulting decomposition in strokes can be used to create variations, stylizations, and animations in different artistic or design-oriented styles while remaining recognizably similar to the input font.

Item Type:

Article

Identification Number (DOI):

https://doi.org/10.1145/3505246

Additional Information:

"© 2022 Copyright held by the owner/author(s). Publication rights licensed to ACM. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in ACM Transactions on Graphics, http://dx.doi.org/10.1145/3505246."

This research began during an internship at Adobe Research and was partly supported by UK’s EPSRC Centre for Doctoral Training in Intelligent Games and Game Intelligence (IGGI; grant EP/L015846/1).

Keywords:

Font structure, Stroke-based representations, Glyph stylization, Junction types, Curvilinear Shape Features, Augmented Medial Axis

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