Geometric Diversity for Crowds on the GPU

Lister, W., Laycock, R. G. and Day, A. M. (2009) Geometric Diversity for Crowds on the GPU. In: 17th International Conference on Computer Graphics, Visualization and Computer Vision, 2009-02-02 - 2009-02-05.

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Abstract

Pure geometric techniques have emerged as viable real-time alternatives to those traditionally used for rendering crowds. However, although capable of drawing many thousands of individually animated characters, the potential for injecting intra-crowd diversity within this framework remains to be fully explored. For urban crowds, a prominent source of diversity is that of clothing and this work presents a technique to render a crowd of clothed, virtual humans whilst minimising redundant vertex processing, overdraw and memory consumption. By adopting a piecewise representation, given an assigned outfit and pre-computed visibility metadata, characters can be constructed dynamically from a set of sub-meshes and rendered using skinned instancing. Using this technique, a geometric crowd of 1,000 independently clothed, animated and textured characters can be rendered at 40 fps.

Item Type:	Conference or Workshop Item (Paper)
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Computer Graphics (former - to 2018) Faculty of Science > Research Groups > Interactive Graphics and Audio
Depositing User:	Vishal Gautam
Date Deposited:	07 Mar 2011 09:33
Last Modified:	15 Jun 2023 23:30
URI:	https://ueaeprints.uea.ac.uk/id/eprint/23927
DOI:

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