A FAST COLLISION DETECTION METHOD FOR CLOTHING ANIMATION

摘要：

　　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.

关键词： Cloth simulation Clothing animation Mass-spring model Collision detection Bound volume hierarchy

作者: Hanwen Li Yi Wan Guanghui Ma

作者单位: School of Information Science & Engineering,Lanzhou University Lanzhou 730000,China

会议类型: 国际会议

会议名称: 2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems (2012年第2届IEEE云计算与智能系统国际会议(IEEE CCIS2012))

会议地点: 杭州

会议语种:英文

页码: 66-69

在线出版日期: 2012-10-30（万方平台首次上网日期，不代表论文的发表时间）