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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| Format: | Conference or Workshop Item |
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2008
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| _version_ | 1825718662931152896 |
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| author | Kanthasamy, K. Rathinam, A.K. |
| author_facet | Kanthasamy, K. Rathinam, A.K. |
| author_sort | Kanthasamy, K. |
| collection | UM |
| 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. |
| first_indexed | 2024-03-06T05:07:50Z |
| format | Conference or Workshop Item |
| id | um.eprints-2335 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:07:50Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | 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 |
| spellingShingle | QA75 Electronic computers. Computer science Kanthasamy, K. Rathinam, A.K. Palmprint identification using sequential modified Haar wavelet energy |
| title | 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_short | Palmprint identification using sequential modified Haar wavelet energy |
| title_sort | palmprint identification using sequential modified haar wavelet energy |
| topic | QA75 Electronic computers. Computer science |
| work_keys_str_mv | AT kanthasamyk palmprintidentificationusingsequentialmodifiedhaarwaveletenergy AT rathinamak palmprintidentificationusingsequentialmodifiedhaarwaveletenergy |