Occlusion culling algorithm based on software visibility checks
Rendering of 3D scenes with big number of objects is computationally intensive. Occlusion culling methods are used to decrease the number of handled objects. We consider interactive occlusion culling methods that have spatial and time coherence. We propose algorithm to increase rendering performance...
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Ivannikov Institute for System Programming of the Russian Academy of Sciences
2018-10-01
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Online Access: | https://ispranproceedings.elpub.ru/jour/article/view/483 |
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doaj-17810fd4e3bc4059b42072067cf06ef42020-11-25T01:15:40Zeng Ivannikov Institute for System Programming of the Russian Academy of SciencesТруды Института системного программирования РАН2079-81562220-64262018-10-01302819810.15514/ISPRAS-2018-30(2)-5483Occlusion culling algorithm based on software visibility checksV. I. Gonakhchyan0Институт системного программирования им. В.П. Иванникова РАНRendering of 3D scenes with big number of objects is computationally intensive. Occlusion culling methods are used to decrease the number of handled objects. We consider interactive occlusion culling methods that have spatial and time coherence. We propose algorithm to increase rendering performance by using occlusion checks implemented in software mode. We propose heuristic to determine hierarchy level that corresponds to the most efficient occlusion checking. The algorithm is compared with the algorithm based on hardware occlusion queries. Checking for occlusion on CPU avoids transmission overhead between CPU and GPU and as a result improves rendering performance of 3d scenes with big number of objects. Section 1 provides an overview of related work as well as general purposes of given paper and its structure. Section 2 describes the basic formulas that are used in software rasterization and visibility checks. Section 3 describes the proposed algorithm for removing invisible surfaces. Section 4 presents the results of comparing the performance of the proposed algorithm and the algorithm based on hardware visibility requests. Section 5 summarizes the main conclusions.https://ispranproceedings.elpub.ru/jour/article/view/483визуализация трехмерных сценпроверка видимостиокто-дерево |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
V. I. Gonakhchyan |
spellingShingle |
V. I. Gonakhchyan Occlusion culling algorithm based on software visibility checks Труды Института системного программирования РАН визуализация трехмерных сцен проверка видимости окто-дерево |
author_facet |
V. I. Gonakhchyan |
author_sort |
V. I. Gonakhchyan |
title |
Occlusion culling algorithm based on software visibility checks |
title_short |
Occlusion culling algorithm based on software visibility checks |
title_full |
Occlusion culling algorithm based on software visibility checks |
title_fullStr |
Occlusion culling algorithm based on software visibility checks |
title_full_unstemmed |
Occlusion culling algorithm based on software visibility checks |
title_sort |
occlusion culling algorithm based on software visibility checks |
publisher |
Ivannikov Institute for System Programming of the Russian Academy of Sciences |
series |
Труды Института системного программирования РАН |
issn |
2079-8156 2220-6426 |
publishDate |
2018-10-01 |
description |
Rendering of 3D scenes with big number of objects is computationally intensive. Occlusion culling methods are used to decrease the number of handled objects. We consider interactive occlusion culling methods that have spatial and time coherence. We propose algorithm to increase rendering performance by using occlusion checks implemented in software mode. We propose heuristic to determine hierarchy level that corresponds to the most efficient occlusion checking. The algorithm is compared with the algorithm based on hardware occlusion queries. Checking for occlusion on CPU avoids transmission overhead between CPU and GPU and as a result improves rendering performance of 3d scenes with big number of objects. Section 1 provides an overview of related work as well as general purposes of given paper and its structure. Section 2 describes the basic formulas that are used in software rasterization and visibility checks. Section 3 describes the proposed algorithm for removing invisible surfaces. Section 4 presents the results of comparing the performance of the proposed algorithm and the algorithm based on hardware visibility requests. Section 5 summarizes the main conclusions. |
topic |
визуализация трехмерных сцен проверка видимости окто-дерево |
url |
https://ispranproceedings.elpub.ru/jour/article/view/483 |
work_keys_str_mv |
AT vigonakhchyan occlusioncullingalgorithmbasedonsoftwarevisibilitychecks |
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1725151802795491328 |