• DocumentCode
    577629
  • Title

    Algorithm research for gene-sequence-based 3D model reconfiguration

  • Author

    Shurong Ning ; Shengyun Yuan ; Rui Lin ; Yuan Zhu

  • Author_Institution
    Sch. of Comput. & Commun. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
  • fYear
    2012
  • fDate
    6-8 July 2012
  • Firstpage
    788
  • Lastpage
    792
  • Abstract
    How to improve the efficiency of animation production and reduce the difficulties of animation development have become core issues in research on animation technology. By the analysis of existing animation design technology, three main processes of animation design have been improved: model design, preservation and rendering. Instead of individual modeling, the reconfigurable model design algorithm has been used. In order to preserve efficiently, the common characteristic of a class of things have been picked up to model in class level, then the model should be divided into several modules. Abstraction on the basis of gene sequences makes new model can be generated by dynamic adjustment. Reconfigurable model design algorithm based on gene sequence can improve the efficiency of model design, simplify the variable quantity of data information, and reduce the space consumption of storage.
  • Keywords
    biology computing; computer animation; genetics; rendering (computer graphics); sequences; solid modelling; abstraction; algorithm research; animation design technology; animation development; animation production; data information; dynamic adjustment; gene-sequence-based 3D model reconfiguration; model preservation; reconfigurable model design algorithm; rendering; Algorithm design and analysis; Animation; Computational modeling; Indexes; Object oriented modeling; Solid modeling; 3D computer animation; gene-sequence-based; reconfigurable animation; reconfigurable model design algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2012 10th World Congress on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-1397-1
  • Type

    conf

  • DOI
    10.1109/WCICA.2012.6357985
  • Filename
    6357985