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The Computer-Based Generation of Fonts in the Style of Kandinsky

Bibliographic Data

ID4830726
AuthorsKang Zhang (0000-0003-3802-7535, Kang Zhang, Department of Computer Science, University of Texas at Dallas, Richardson, TX 75083-0688, U.S.A. Email: [email protected]., corresponding author), Jinhui Yu (0009-0001-0883-3889, Jinhui Yu, State Key Laboratory of CAD & CG, Zhejiang University, Hangzhou, 310027, P.R. China. Email: [email protected]., corresponding author)
Year2021
Volume54
Issue4
Pages437-443
Publication date2021-08-09
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueLeonardo (JOURNAL)
Journal identifiersISSN: 0024-094X • E-ISSN: 1530-9282
PublisherThe MIT Press (PUBLISHER • US)
DOI10.1162/leon_a_01888
OpenAlexW3007183505
LanguageEN
Citations received1
References cited11

This article presents a general framework for programmed automatic generation of artistic fonts. By parameterizing various font attributes, such as color and aspect ratio, the authors are able to generate artistically styled fonts in almost unlimited variations to suit any type of design requirement. The authors demonstrate their experiments on generating fonts in an abstract style similar to Kandinsky's, built on a collection of the artist's styled patterns. The approach generates fonts composed of vector strokes and is thus highly scalable, limited only by the computer hardware

Art · Character (mathematics) · Computer graphics (images) · Database · Font · Scalability · Style (visual arts) · Visual arts · 3D Shape Modeling and Analysis · Aesthetic Perception and Analysis · Artificial Intelligence · Computer Graphics and Visualization Techniques · Computer Science

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Unique citing works1
Citations per year0.33
Citation span2023 - 2023 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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