Improving avatar collision detection performance for virtual environment applications

Many virtual environment applications incorporate avatars as some of their inhabitants. Interactions between avatar and surrounding objects, as well as avatar and avatar, need to be done in real-time in order to retain the degree of realism and immersion of the virtual environment application. In th...

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Main Authors: Mohd. Suaib, Norhaida, Bade, Abdullah, Mohamad, Dzulkifli
Format: Book Section
Published: Elsevier BV 2009
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Online Access:http://eprints.utm.my/id/eprint/15111/
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id my.utm.15111
record_format eprints
spelling my.utm.151112011-09-30T15:07:46Z http://eprints.utm.my/id/eprint/15111/ Improving avatar collision detection performance for virtual environment applications Mohd. Suaib, Norhaida Bade, Abdullah Mohamad, Dzulkifli QA75 Electronic computers. Computer science Many virtual environment applications incorporate avatars as some of their inhabitants. Interactions between avatar and surrounding objects, as well as avatar and avatar, need to be done in real-time in order to retain the degree of realism and immersion of the virtual environment application. In this study, we consider an avatar as a human-like, 3D hierarchical representation. The aim is to improve the collision detection process involving a human-like avatar and its interaction. Previous work on avatar collision detection is presented. A proposed improvement is summarized from methods that have been implemented in other fields like ray-tracing and deformable objects simulation that can also be beneficial for this purpose. Elsevier BV 2009 Book Section PeerReviewed Mohd. Suaib, Norhaida and Bade, Abdullah and Mohamad, Dzulkifli (2009) Improving avatar collision detection performance for virtual environment applications. In: ICACTE 2009 - Proceedings of the 2nd International Conference on Advanced Computer Theory and Engineering. Elsevier BV, pp. 643-650. ISBN 978-079180297-7
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Mohd. Suaib, Norhaida
Bade, Abdullah
Mohamad, Dzulkifli
Improving avatar collision detection performance for virtual environment applications
description Many virtual environment applications incorporate avatars as some of their inhabitants. Interactions between avatar and surrounding objects, as well as avatar and avatar, need to be done in real-time in order to retain the degree of realism and immersion of the virtual environment application. In this study, we consider an avatar as a human-like, 3D hierarchical representation. The aim is to improve the collision detection process involving a human-like avatar and its interaction. Previous work on avatar collision detection is presented. A proposed improvement is summarized from methods that have been implemented in other fields like ray-tracing and deformable objects simulation that can also be beneficial for this purpose.
format Book Section
author Mohd. Suaib, Norhaida
Bade, Abdullah
Mohamad, Dzulkifli
author_facet Mohd. Suaib, Norhaida
Bade, Abdullah
Mohamad, Dzulkifli
author_sort Mohd. Suaib, Norhaida
title Improving avatar collision detection performance for virtual environment applications
title_short Improving avatar collision detection performance for virtual environment applications
title_full Improving avatar collision detection performance for virtual environment applications
title_fullStr Improving avatar collision detection performance for virtual environment applications
title_full_unstemmed Improving avatar collision detection performance for virtual environment applications
title_sort improving avatar collision detection performance for virtual environment applications
publisher Elsevier BV
publishDate 2009
url http://eprints.utm.my/id/eprint/15111/
_version_ 1643646483197591552
score 13.160551