• 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