NDLI: Genetic Algorithm-Based Brush Stroke Generation for Replication of Chinese Calligraphic Character

Content Provider	IEEE Xplore Digital Library
Author	Ka Wai Kwok Sheung Man Wong Ka Wan Lo Yeung Yam
Copyright Year	2006
Description	Author affiliation: Chinese Univ. of Hong Kong, Shatin (Ka Wai Kwok; Sheung Man Wong; Ka Wan Lo; Yeung Yam)
Abstract	This paper presents a novel brush stroke generation scheme based on genetic algorithms (GA) and pre-defined brush template models. The work is part of an endeavor to attempt imitating master works of famous past calligraphers. The concept is to parametrize, in some computational sense, the writing styles and techniques of certain calligraphers and then executes the results in a robot drawing platform developed in our laboratory. The present work describes the algorithmic development, simulation studies and experimentation of the GA-based stroke generation scheme upon given certain calligraphic characters. To further study the effectiveness of calligraphic writing with the robot platform, the cross-entropy method of the traveling salesman problem is incorporated to determine the sequence of stroke execution.
Starting Page	1057
Ending Page	1064
File Size	688494
Page Count	8
File Format	PDF
ISBN	0780394879
DOI	10.1109/CEC.2006.1688426
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-16
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Character generation Painting Robot kinematics Genetic algorithms Writing Laboratories Computational modeling Traveling salesman problems Ink Art
Content Type	Text
Resource Type	Article

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