计算机科学 ›› 2017, Vol. 44 ›› Issue (6): 306-311.doi: 10.11896/j.issn.1002-137X.2017.06.054
曹梦晓,张桂娟,黄丽君,刘弘
CAO Meng-xiao, ZHANG Gui-juan, HUANG Li-jun and LIU Hong
摘要： 当前基于情绪的人群动画方法没有考虑个性对情绪感染的影响。现实中的人群情绪(如恐慌、焦虑等)往往存在个体差异性,从而会对人群的情绪感染产生重要的影响。为生成更为逼真的人群动画,提出一种基于个性化情绪感染的人群动画生成方法。该方法包含3部分:首先,建立了一个基于情绪感知因子的个性化Durupinar情绪感染模型(Personalized Durupinar,P-Durupinar),该模型能够有效体现人群情绪的个体差异性;其次,将P-Durupinar情绪感染与人群运动耦合,结合相对速度障碍法,利用个性化情绪驱动人群运动；最后,使用真实感渲染方法生成人群动画。实验结果表明,基于个性化情绪感染的人群动画生成方法能够更逼真地仿真人群的社会行为。
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