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StrokeStyles: Stroke-based Segmentation and Stylization of Fonts

Authors:
Daniel Berio

Goldsmiths, University of London, New Cross, London, United Kingdom

Goldsmiths, University of London, New Cross, London, United Kingdom

0000-0002-0509-3803
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,
Frederic Fol Leymarie

Goldsmiths, University of London, New Cross, London, United Kingdom

Goldsmiths, University of London, New Cross, London, United Kingdom

0000-0002-3221-8966
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,
Paul Asente

Adobe Research, San Jose, USA

Adobe Research, San Jose, USA

0000-0002-7009-9734
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,
Jose Echevarria

Adobe Research, San Jose, USA

Adobe Research, San Jose, USA

0000-0001-6802-0911
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ACM Transactions on Graphics Volume 41 Issue 3Article No.: 28pp 1–21https://doi.org/10.1145/3505246

Published:28 April 2022Publication History

ACM Transactions on Graphics

Abstract

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.

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Index Terms

StrokeStyles: Stroke-based Segmentation and Stylization of Fonts
1. Applied computing
  1. Arts and humanities
    1. Media arts
2. Computing methodologies
  1. Computer graphics
    1. Shape modeling
      1. Shape analysis

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Published in
ACM Transactions on Graphics Volume 41, Issue 3
June 2022
213 pages
ISSN:0730-0301
EISSN:1557-7368
DOI:10.1145/3517033
Editor:
Carol O'Sullivan
Trinity College Dublin, Ireland
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Publication History
- Published: 28 April 2022
- Accepted: 1 December 2021
- Revised: 1 September 2021
- Received: 1 May 2020
Published in tog Volume 41, Issue 3

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Author Tags
Font structure
stroke-based representations
glyph stylization
junction types
curvilinear shape features
augmented medial axis
Qualifiers
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StrokeStyles: Stroke-based Segmentation and Stylization of Fonts

ACM Transactions on Graphics

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Recommendations

Stroke Segmentation and Recognition from Bangla Online Handwritten Text

Effective radical segmentation of offline handwritten Chinese characters towards constructing personal handwritten fonts

An Algorithm for Segmentation of Conglutinate Manuscript Financial Chinese Characters Based on the Character of Stroke