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Computer Graphics Forum
Article . 2015 . Peer-reviewed
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A Survey of Real‐Time Crowd Rendering

Authors: Beacco Porres, Alejandro; Pelechano Gómez, Núria; Andújar Gran, Carlos Antonio;

A Survey of Real‐Time Crowd Rendering

Abstract

AbstractIn this survey we review, classify and compare existing approaches for real‐time crowd rendering. We first overview character animation techniques, as they are highly tied to crowd rendering performance, and then we analyze the state of the art in crowd rendering. We discuss different representations for level‐of‐detail (LoD) rendering of animated characters, including polygon‐based, point‐based, and image‐based techniques, and review different criteria for runtime LoD selection. Besides LoD approaches, we review classic acceleration schemes, such as frustum culling and occlusion culling, and describe how they can be adapted to handle crowds of animated characters. We also discuss specific acceleration techniques for crowd rendering, such as primitive pseudo‐instancing, palette skinning, and dynamic key‐pose caching, which benefit from current graphics hardware. We also address other factors affecting performance and realism of crowds such as lighting, shadowing, clothing and variability. Finally we provide an exhaustive comparison of the most relevant approaches in the field.

Country
Spain
Keywords

Three dimensional imaging, Infografia tridimensional, :Informàtica::Infografia [Àrees temàtiques de la UPC], Level of detail algorithms, Crowds -- Computer simulation, Real-time rendering, Rendering (Computer graphics), Multituds -- Simulació per ordinador, Àrees temàtiques de la UPC::Informàtica::Infografia, Image-based rendering

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download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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20
Top 10%
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61
323
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bronze