Evolutionary Modeling Approach for Crowd Animation

摘要：

In order to support generating crowd animation roles automatically based on a 3D animation prototype,an evolutionary modeling approach was proposed. The approach could generate a great deal of 3D animation modelings which were alike in appearance but different in characteristics by deforming the 3D animation prototype. An interactive and adaptive genetic algorithm AIAGA was introduced in this approach. In AIAGA,ACIS rule expressions were expressed by three binary trees,which were used to scale 3D entities unevenly in the x-axis,y-axis and z-axis direction separately. New rule expressions,which were used to generate new modelings by evolving,were generated by selection,adaptive crossover and mutation on binary trees. Experiments in the prototype system developed in this paper show that the proposed approach can effectively support generating a series of 3D animation modelings for crowd animation.

关键词： crowd animation 3D animation modeling interactive and adaptive genetic algorithm ACIS rule expression

作者: Yu Hanchao Liu Hong Yang Xiaopeng

作者单位: School of Information Science and Engineering,Shandong Normal University,China Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology,China

会议类型: 国际会议

会议名称: 2011 International Conference on Opto-Electronics Engineering and Information Science(2011光电电子工程与信息科学国际会议 ICOEIS 2011)

会议地点: 西安

会议语种:英文

页码: 2428-2433

在线出版日期: 2011-12-23（万方平台首次上网日期，不代表论文的发表时间）