Haptic Texture Search Engine Framework

Computer haptics (CH) and computer vison (CV) are two popular research areas among researchers. Despite their increasing in popularity, little has been reported on integrating both techniques in CV into CH. At present, researchers mainly work on either CH or CV topics, separately. Combining these tw...

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Main Authors: Adi, Waskito, Sulaiman, Suziah
Format: Conference or Workshop Item
Published: 2010
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Online Access:http://eprints.utp.edu.my/4770/1/05561550_Tito.pdf
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5561550
http://eprints.utp.edu.my/4770/
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spelling my.utp.eprints.47702017-01-19T08:23:49Z Haptic Texture Search Engine Framework Adi, Waskito Sulaiman, Suziah QA75 Electronic computers. Computer science Computer haptics (CH) and computer vison (CV) are two popular research areas among researchers. Despite their increasing in popularity, little has been reported on integrating both techniques in CV into CH. At present, researchers mainly work on either CH or CV topics, separately. Combining these two areas may benefit information retrieval as the existence of haptic information could enhance a particular search. This paper describes how both CV and CH could be applied into our proposed search engine framework for searching fabric textures. The framework developed involves a computer vision algorithm and a haptic rendering algorithm. Based on our experiments that include searching algorithm and haptic rendering, the result shows that computer vision algorithm can be applied into and suitable for generating haptic textures. This leads towards obtaining a haptic texture search engine that enables cloth searching not only visually but also haptically. 2010-09-02 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/4770/1/05561550_Tito.pdf http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5561550 Adi, Waskito and Sulaiman, Suziah (2010) Haptic Texture Search Engine Framework. In: ITSIM'10, 15-17 June 2010, Kuala Lumpur, Malaysia. http://eprints.utp.edu.my/4770/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Adi, Waskito
Sulaiman, Suziah
Haptic Texture Search Engine Framework
description Computer haptics (CH) and computer vison (CV) are two popular research areas among researchers. Despite their increasing in popularity, little has been reported on integrating both techniques in CV into CH. At present, researchers mainly work on either CH or CV topics, separately. Combining these two areas may benefit information retrieval as the existence of haptic information could enhance a particular search. This paper describes how both CV and CH could be applied into our proposed search engine framework for searching fabric textures. The framework developed involves a computer vision algorithm and a haptic rendering algorithm. Based on our experiments that include searching algorithm and haptic rendering, the result shows that computer vision algorithm can be applied into and suitable for generating haptic textures. This leads towards obtaining a haptic texture search engine that enables cloth searching not only visually but also haptically.
format Conference or Workshop Item
author Adi, Waskito
Sulaiman, Suziah
author_facet Adi, Waskito
Sulaiman, Suziah
author_sort Adi, Waskito
title Haptic Texture Search Engine Framework
title_short Haptic Texture Search Engine Framework
title_full Haptic Texture Search Engine Framework
title_fullStr Haptic Texture Search Engine Framework
title_full_unstemmed Haptic Texture Search Engine Framework
title_sort haptic texture search engine framework
publishDate 2010
url http://eprints.utp.edu.my/4770/1/05561550_Tito.pdf
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5561550
http://eprints.utp.edu.my/4770/
_version_ 1738655368249081856
score 13.18916