Palmprint identification using sequential modified Haar wavelet energy

This research done introduces a parallel approach in visualising a three dimensional (3D) virtual heart model simulation dataset. The paper outlines briefly the Immersed Boundary Method (IBM) and how they differ from regular CFD. The dissimilarities motivate the need to show graphical representation...

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Main Authors: Kanthasamy, K., Rathinam, A.K.
Format: Conference or Workshop Item
Published: 2008
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Online Access:http://eprints.um.edu.my/2335/
http://apps.webofknowledge.com/full_record.do?product=UA&search_mode=Refine&qid=2&SID=N281Pb5dDLLCJF6LH96&page=22&doc=213&cacheurlFromRightClick=no
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spelling my.um.eprints.23352011-12-15T01:42:50Z http://eprints.um.edu.my/2335/ Palmprint identification using sequential modified Haar wavelet energy Kanthasamy, K. Rathinam, A.K. QA75 Electronic computers. Computer science This research done introduces a parallel approach in visualising a three dimensional (3D) virtual heart model simulation dataset. The paper outlines briefly the Immersed Boundary Method (IBM) and how they differ from regular CFD. The dissimilarities motivate the need to show graphical representation of the IBM. The Immersed Boundary Method was then used to compute the 3D heart model simulation. The resulting simulation data was then visualised utilising a parallel adaptation of the Visualisation Tool Kit (VTK), an open source library. The visualisation was conducted in a cluster computing environment. The computers used in the cluster were off-the-shelf commodity personal computers. The number of processors involved in the parallelism would help to speed tip the rendering performance. This research will assist in low cost building of visualising biological modelling applications in the future. 2008 Conference or Workshop Item PeerReviewed Kanthasamy, K. and Rathinam, A.K. (2008) Palmprint identification using sequential modified Haar wavelet energy. In: 5th International Conference on Computer Graphics, Imaging and Visualization (CGIV), AUG 26-28, 2008, Penang, MALAYSIA. http://apps.webofknowledge.com/full_record.do?product=UA&search_mode=Refine&qid=2&SID=N281Pb5dDLLCJF6LH96&page=22&doc=213&cacheurlFromRightClick=no
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Kanthasamy, K.
Rathinam, A.K.
Palmprint identification using sequential modified Haar wavelet energy
description This research done introduces a parallel approach in visualising a three dimensional (3D) virtual heart model simulation dataset. The paper outlines briefly the Immersed Boundary Method (IBM) and how they differ from regular CFD. The dissimilarities motivate the need to show graphical representation of the IBM. The Immersed Boundary Method was then used to compute the 3D heart model simulation. The resulting simulation data was then visualised utilising a parallel adaptation of the Visualisation Tool Kit (VTK), an open source library. The visualisation was conducted in a cluster computing environment. The computers used in the cluster were off-the-shelf commodity personal computers. The number of processors involved in the parallelism would help to speed tip the rendering performance. This research will assist in low cost building of visualising biological modelling applications in the future.
format Conference or Workshop Item
author Kanthasamy, K.
Rathinam, A.K.
author_facet Kanthasamy, K.
Rathinam, A.K.
author_sort Kanthasamy, K.
title Palmprint identification using sequential modified Haar wavelet energy
title_short Palmprint identification using sequential modified Haar wavelet energy
title_full Palmprint identification using sequential modified Haar wavelet energy
title_fullStr Palmprint identification using sequential modified Haar wavelet energy
title_full_unstemmed Palmprint identification using sequential modified Haar wavelet energy
title_sort palmprint identification using sequential modified haar wavelet energy
publishDate 2008
url http://eprints.um.edu.my/2335/
http://apps.webofknowledge.com/full_record.do?product=UA&search_mode=Refine&qid=2&SID=N281Pb5dDLLCJF6LH96&page=22&doc=213&cacheurlFromRightClick=no
_version_ 1643686902019129344
score 13.18916