• DocumentCode
    481809
  • Title

    The Study of Enhancing Authenticity of Cloth Surface Intersection Processing

  • Author

    Wen, Dong ; Liu, Guohua ; Zhou, Yanhong ; Jin, Shunfu

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Univ. of Yanshan, Qinhuangdao
  • Volume
    1
  • fYear
    2008
  • fDate
    19-20 Dec. 2008
  • Firstpage
    977
  • Lastpage
    981
  • Abstract
    Cloth simulation is an important research area in computer graphics worldwide at present, and the study, which processes surface intersection during the course of cloth collision, is a difficulty in cloth simulation. We present a global optimization algorithm close to the reality and minimizing intersection contour lines, in order to improve authenticity of the results of cloth surface intersection processing of the cloth simulation. This algorithm, which is based on pre-time process of the construction of the model of cloth, the collision detection and later process of the collision response, disposes emphatically the situation of cloth surface intersection, using the method globally minimizing intersection contour lines, and also evaluates and optimizes the results of processing. Experimental results show that this method is superior to previous researches in two aspects: the simulation authenticity and real-time, and can increase verisimilitude of the production in the domain of cloth animation.
  • Keywords
    clothing; computer animation; minimisation; surface fitting; authenticity enhancement; cloth animation; cloth simulation; cloth surface intersection processing; collision detection; computer graphics; contour line minimization; global optimization algorithm; Clothing industry; Computational intelligence; Computational modeling; Computer industry; Computer simulation; Conferences; Displays; Optimization methods; Surface treatment; Textile industry; cloth simulation; collision detection; collision response; global optimization; minimizing intersection contour lines; surface intersection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3490-9
  • Type

    conf

  • DOI
    10.1109/PACIIA.2008.76
  • Filename
    4756705