DocumentCode
1853344
Title
Evolutionary Replication of Calligraphic Characters By A Robot Drawing Platform Using Experimentally Acquired Brush Footprint
Author
Kwok, Ka Wai ; Lo, Ka Wah ; Wong, Sheung Man ; Yam, Yeung
Author_Institution
Dept. of Autom. & Comput. Eng., Chinese Univ. of Hong Kong, Shatin
fYear
2006
fDate
8-10 Oct. 2006
Firstpage
466
Lastpage
471
Abstract
In this paper, the techniques of an experiment-based brush footprint acquisition method and a genetic algorithm (GA)-based brush stroke generation scheme are combined. The combined method is applied to replicating a given Chinese character. Additionally, a new method to come up with the brush stroke skeleton to facilitate Bezier representation of the brush stroke, rather than the thinning algorithm in previous works, is also incorporated. Actual experiments were conducted to demonstrate the performance of combined method and to compare with the original character. The present paper is part of an endeavour to attempt replicating the works of famous past calligraphers.
Keywords
genetic algorithms; handwritten character recognition; manipulator dynamics; robot vision; Bezier representation; Chinese character; brush stroke skeleton; calligraphic characters evolutionary replication; experiment-based brush footprint acquisition method; genetic algorithm-based brush stroke generation scheme; robot drawing platform; Automatic control; Brushes; Control systems; Engineering drawings; Fusion power generation; Genetic algorithms; Painting; Robot kinematics; Robotics and automation; Visual system;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation Science and Engineering, 2006. CASE '06. IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
1-4244-0310-3
Electronic_ISBN
1-4244-0311-1
Type
conf
DOI
10.1109/COASE.2006.326926
Filename
4120392
Link To Document