• DocumentCode
    2238247
  • Title

    A fast collision detection method for clothing animation

  • Author

    Hanwen Li ; Yi Wan ; Guanghui Ma

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Lanzhou Univ., Lanzhou, China
  • fYear
    2012
  • fDate
    Oct. 30 2012-Nov. 1 2012
  • Firstpage
    52
  • Lastpage
    55
  • Abstract
    Currently efficient collision detection is one of the major performance bottlenecks in real-time clothing animation, especially when the models have thousands of or more vertices. To further improve the performance of collision process, this paper presents a fast collision detection scheme, called local collision impact region. In such a clothing animation system, the clothing often collides with human body in large regions at the initial state of each key frame, which evokes a time-consuming process to detect and to respond to the collisions. When a cloth vertex collides with mannequin, its neighboring vertices more often than not have collided. Therefore, we directly adjust these neighboring vertices right after the vertex collision response is carried out. This approach can accelerate the collision detection between clothing and mannequin and significantly reduce the iterations of generating key frames in clothing animation. The overall speed is nearly three times as fast as the conventional methods.
  • Keywords
    clothing; computer animation; object detection; cloth vertex; fast collision detection method; key frame; local collision impact region; neighboring vertices; real-time clothing animation system; vertex collision response; Animation; Biological system modeling; Clothing; Computational modeling; Load modeling; Solid modeling; Bound volume hierarchy; Cloth simulation; Clothing animation; Collision detection; Mass-spring model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-1855-6
  • Type

    conf

  • DOI
    10.1109/CCIS.2012.6664366
  • Filename
    6664366