Markov-Gibbs random field modeling of 3D skin surface textures for haptic applications
The 3D surface textures of skin are important for both visual and tactile inspection. The information of surface textures can aid the inclusion of haptic technology in tele-dermatology as well as enhance the effectiveness of current 2D based applications. This work aims to analyse and model surface...
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my.utp.eprints.3192017-01-19T08:26:58Z Markov-Gibbs random field modeling of 3D skin surface textures for haptic applications A.F.M., Hani Batool, Nazr-e- V.V., Yap TK Electrical engineering. Electronics Nuclear engineering The 3D surface textures of skin are important for both visual and tactile inspection. The information of surface textures can aid the inclusion of haptic technology in tele-dermatology as well as enhance the effectiveness of current 2D based applications. This work aims to analyse and model surface textures of skin including diseased skin. For this purpose the multiple pairwise pixel interaction model of Markov-Gibbs Random Field (MGRF) has been used. Surface textures are in the form of 3D mesh which are converted to 2D height maps and modeled as grayscale textures. The results demonstrate that homogenous stochastic textures of skin can be modeled successfully. The successfully modeled textures represent the surface irregularities on scale of 0.1 mm which can create the tactile perception of roughness for skin in haptic applications. © Springer-Verlag Berlin Heidelberg 2007. 2007 Conference or Workshop Item NonPeerReviewed application/pdf http://eprints.utp.edu.my/319/1/paper.pdf http://www.scopus.com/inward/record.url?eid=2-s2.0-38049184251&partnerID=40&md5=c8130d16cae89823c060113a009cbd32 A.F.M., Hani and Batool, Nazr-e- and V.V., Yap (2007) Markov-Gibbs random field modeling of 3D skin surface textures for haptic applications. In: International Conference on Computational Science and its Applications, ICCSA 2007, 26 August 2007 through 29 August 2007, Kuala Lumpur. http://eprints.utp.edu.my/319/ |
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TK Electrical engineering. Electronics Nuclear engineering A.F.M., Hani Batool, Nazr-e- V.V., Yap Markov-Gibbs random field modeling of 3D skin surface textures for haptic applications |
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The 3D surface textures of skin are important for both visual and tactile inspection. The information of surface textures can aid the inclusion of haptic technology in tele-dermatology as well as enhance the effectiveness of current 2D based applications. This work aims to analyse and model surface textures of skin including diseased skin. For this purpose the multiple pairwise pixel interaction model of Markov-Gibbs Random Field (MGRF) has been used. Surface textures are in the form of 3D mesh which are converted to 2D height maps and modeled as grayscale textures. The results demonstrate that homogenous stochastic textures of skin can be modeled successfully. The successfully modeled textures represent the surface irregularities on scale of 0.1 mm which can create the tactile perception of roughness for skin in haptic applications. © Springer-Verlag Berlin Heidelberg 2007.
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format |
Conference or Workshop Item |
author |
A.F.M., Hani Batool, Nazr-e- V.V., Yap |
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A.F.M., Hani Batool, Nazr-e- V.V., Yap |
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A.F.M., Hani |
title |
Markov-Gibbs random field modeling of 3D skin surface textures for haptic applications
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title_short |
Markov-Gibbs random field modeling of 3D skin surface textures for haptic applications
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title_full |
Markov-Gibbs random field modeling of 3D skin surface textures for haptic applications
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title_fullStr |
Markov-Gibbs random field modeling of 3D skin surface textures for haptic applications
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Markov-Gibbs random field modeling of 3D skin surface textures for haptic applications
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markov-gibbs random field modeling of 3d skin surface textures for haptic applications |
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2007 |
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http://eprints.utp.edu.my/319/1/paper.pdf http://www.scopus.com/inward/record.url?eid=2-s2.0-38049184251&partnerID=40&md5=c8130d16cae89823c060113a009cbd32 http://eprints.utp.edu.my/319/ |
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13.160551 |