• DocumentCode
    2959572
  • Title

    Web based Chinese Calligraphy Learning with 3-D Visualization Method

  • Author

    Wu, Yingfei ; Zhuang, Yueting ; Pan, Yunhe ; Wu, Jiangqin

  • Author_Institution
    Coll. of Comput. Sci., Zhejiang Univ., Hangzhou
  • fYear
    2006
  • fDate
    9-12 July 2006
  • Firstpage
    2073
  • Lastpage
    2076
  • Abstract
    Chinese calligraphy is pictographic and each calligraphist has his own writing style. People often feel difficult in writing a demanded beautiful calligraphy style. In order to help people enjoy the art of calligraphy and learn how it is written step-by-step we present a new approach to animate its writing process by 3-D visualization method. In this paper some novel algorithms used in the approach are presented to solve the following problems: 1) estimate varied stroke´s thickness 2) extract strokes order from an offline Chinese calligraphic writing. Through this approach we implement a system. Experimental result is given to demonstrate the application finally
  • Keywords
    Internet; data visualisation; feature extraction; handwriting recognition; natural languages; 3-D visualization method; Web based Chinese calligraphy; learning; pictography; strokes extraction; strokes thickness estimation; Animation; Art; Computer science; Data mining; Educational institutions; Image retrieval; Information retrieval; Skeleton; Visualization; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2006 IEEE International Conference on
  • Conference_Location
    Toronto, Ont.
  • Print_ISBN
    1-4244-0366-7
  • Electronic_ISBN
    1-4244-0367-7
  • Type

    conf

  • DOI
    10.1109/ICME.2006.262642
  • Filename
    4037039