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  • 标题:FixDec: Fixed Spherical n Points Density-Based Clustering Technique for Cloth Simulation
  • 本地全文:下载
  • 作者:Nur Saadah Mohd Shapri ; Riza Sulaiman ; Abdullah Bade
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2015
  • 卷号:6
  • 期号:1
  • 页码:619-625
  • 出版社:TechScience Publications
  • 摘要:The ability to simulate cloth with crumpled effect is critical in virtual animation. Simulating a cloth model with realistic collision handling is a crucial issue due to the highly complex collision calculations. Researchers have proposed several techniques to solve the above issues; however, the weakness still remains particularly in collision handling computations. In this paper, a technique called Fixed Spherical n Points Density-based Clustering Technique (FixDeC) is introduced to reduce the collision handling computations once cloth surfaces have undergone crumpling processes. The collision checking procedure between cloth surfaces can only be performed when cloth surface points contained in the predefined spherical clusters. Any cloth surface points beyond the cluster region is ignored and removed from the collision calculation list. From the experiment, when compared to density-based clustering, a series of brute force collision checking is reduced due to the lesser amount of cloth surface points within the cluster that have to be considered for collision checking. Moreover, FixDeC can also ensure that two adjacent cloth surface points are not penetrating between each other even though the cloth surface is crumpled. The results revealed that the proposed technique has produced significant improvement in terms of collision calculation compared to the traditional approach. The FixDeC technique can guarantee penetration among cloth surfaces would not occur, and self-collision handling for cloth surfaces could be more efficient and robust
  • 关键词:Cloth simulation; Cloth self-collision handling
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