Crowd modeling: generation of a fully articulated crowd of characters



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Texas A&M University


In this thesis I present a fast, efficient, and production friendly method to generate a crowd of fully articulated characters. A wide variety of characters can be created from a relatively few base models. The models that are generated are anatomically different from each another, while maintaining the same topology. They all have individual characteristics and features, that distinguish them from the others in the crowd. This method is easily adaptable to different kinds of characters, from hyper-realistic characters to highly stylized characters, and from human characters to insects like spiders. The crowd character models generated by this method are fully articulated and are ready to be animated.