Crowd modeling: generation of a fully articulated crowd of characters
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Date
2006-04-12
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Texas A&M University
Abstract
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.
Description
Keywords
crowd modeling