A Normative Model for Behavioral Differentiation
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
Modeling spatial and temporal variation in motion data
ACM SIGGRAPH Asia 2009 papers
Improving crowd behaviour for games and virtual worlds
Proceedings of the Fifth International Conference on the Foundations of Digital Games
Efficient rendering of animated characters through optimized per-joint impostors
Computer Animation and Virtual Worlds
Formalizing the construction of populations in multi-agent simulations
Engineering Applications of Artificial Intelligence
Generating diverse ethnic groups with genetic algorithms
Proceedings of the 18th ACM symposium on Virtual reality software and technology
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A solution that allows each individual to look unique in a real-time large crowd simulation. First, it provides a simple, efficient method for attaching accessories to individuals to modify their look. Second, it provides a new, generic technique based on segmentation maps for adding detailed color variety and patterns to human meshes as well as accessories. Both methods are scalable to suit all human levels of detail exploited in crowd simulations; that is, impostors and rigid and deformable meshes. Tests and comparisons show that the algorithm provides the crowd with an appealing visual aspect and is adequate for real-time simulations of thousands of unique characters.