Techniques for an image space occlusion culling engine

Autores
Barbagallo, Leandro R.; Leone, Matias N.; Banquiero, Mariano M.; Agromayor, Diego; Bursztyn, Andrés P. M.
Año de publicación
2012
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
In this work we present several techniques applied to implement an Image Space Software Occlusion Culling Engine to increase the speed of rendering general dynamic scenes with high depth complexity. This conservative culling method is based on a tiled Occlusion Map that is updated only when needed, deferring and even avoiding the expensive per pixel rasterization process. We show how the tiles become a useful way to increase the speed of visibility tests. Finally we describe how different parts of the engine were parallelized using OpenMP directives and SIMD instructions.
Eje: Workshop Computación gráfica, imágenes y visualización (WCGIV)
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Real time
Algorithms
Software
COMPUTER GRAPHICS
Visual
Rasterization
Occlusion Culling
Visibility Algorithms
Hierarchical Occlusion Map
Lazy Grid
Tiles
Depth Buffer
SIMD
OpenMP
GPU
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/23639
Acceder
id SEDICI_52be3bddff2c577f16a397ff826450a9
oai_identifier_str oai:sedici.unlp.edu.ar:10915/23639
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Techniques for an image space occlusion culling engineBarbagallo, Leandro R.Leone, Matias N.Banquiero, Mariano M.Agromayor, DiegoBursztyn, Andrés P. M.Ciencias InformáticasReal timeAlgorithmsSoftwareCOMPUTER GRAPHICSVisualRasterizationOcclusion CullingVisibility AlgorithmsHierarchical Occlusion MapLazy GridTilesDepth BufferSIMDOpenMPGPUIn this work we present several techniques applied to implement an Image Space Software Occlusion Culling Engine to increase the speed of rendering general dynamic scenes with high depth complexity. This conservative culling method is based on a tiled Occlusion Map that is updated only when needed, deferring and even avoiding the expensive per pixel rasterization process. We show how the tiles become a useful way to increase the speed of visibility tests. Finally we describe how different parts of the engine were parallelized using OpenMP directives and SIMD instructions.Eje: Workshop Computación gráfica, imágenes y visualización (WCGIV)Red de Universidades con Carreras en Informática (RedUNCI)2012-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/23639enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:55:31Zoai:sedici.unlp.edu.ar:10915/23639Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:55:31.781SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Techniques for an image space occlusion culling engine
title Techniques for an image space occlusion culling engine
spellingShingle Techniques for an image space occlusion culling engine
Barbagallo, Leandro R.
Ciencias Informáticas
Real time
Algorithms
Software
COMPUTER GRAPHICS
Visual
Rasterization
Occlusion Culling
Visibility Algorithms
Hierarchical Occlusion Map
Lazy Grid
Tiles
Depth Buffer
SIMD
OpenMP
GPU
title_short Techniques for an image space occlusion culling engine
title_full Techniques for an image space occlusion culling engine
title_fullStr Techniques for an image space occlusion culling engine
title_full_unstemmed Techniques for an image space occlusion culling engine
title_sort Techniques for an image space occlusion culling engine
dc.creator.none.fl_str_mv Barbagallo, Leandro R.
Leone, Matias N.
Banquiero, Mariano M.
Agromayor, Diego
Bursztyn, Andrés P. M.
author Barbagallo, Leandro R.
author_facet Barbagallo, Leandro R.
Leone, Matias N.
Banquiero, Mariano M.
Agromayor, Diego
Bursztyn, Andrés P. M.
author_role author
author2 Leone, Matias N.
Banquiero, Mariano M.
Agromayor, Diego
Bursztyn, Andrés P. M.
author2_role author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Real time
Algorithms
Software
COMPUTER GRAPHICS
Visual
Rasterization
Occlusion Culling
Visibility Algorithms
Hierarchical Occlusion Map
Lazy Grid
Tiles
Depth Buffer
SIMD
OpenMP
GPU
topic Ciencias Informáticas
Real time
Algorithms
Software
COMPUTER GRAPHICS
Visual
Rasterization
Occlusion Culling
Visibility Algorithms
Hierarchical Occlusion Map
Lazy Grid
Tiles
Depth Buffer
SIMD
OpenMP
GPU
dc.description.none.fl_txt_mv In this work we present several techniques applied to implement an Image Space Software Occlusion Culling Engine to increase the speed of rendering general dynamic scenes with high depth complexity. This conservative culling method is based on a tiled Occlusion Map that is updated only when needed, deferring and even avoiding the expensive per pixel rasterization process. We show how the tiles become a useful way to increase the speed of visibility tests. Finally we describe how different parts of the engine were parallelized using OpenMP directives and SIMD instructions.
Eje: Workshop Computación gráfica, imágenes y visualización (WCGIV)
Red de Universidades con Carreras en Informática (RedUNCI)
description In this work we present several techniques applied to implement an Image Space Software Occlusion Culling Engine to increase the speed of rendering general dynamic scenes with high depth complexity. This conservative culling method is based on a tiled Occlusion Map that is updated only when needed, deferring and even avoiding the expensive per pixel rasterization process. We show how the tiles become a useful way to increase the speed of visibility tests. Finally we describe how different parts of the engine were parallelized using OpenMP directives and SIMD instructions.
publishDate 2012
dc.date.none.fl_str_mv 2012-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/23639
url http://sedici.unlp.edu.ar/handle/10915/23639
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 13.070432

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