Palmprint identification using sequential modified Haar wavelet energy

Kanthasamy, K.; 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.

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Creators:
  1. Kanthasamy, K.(University of Malaya)
  2. Rathinam, A.K.
Additional Information: Univ Malaya, Fac Comp Sci & Informat Technol, Kuala Lumpur, Malaysia
Uncontrolled Keywords: Immersed Boundary Method (IBM); Computational Fluid Dynamics (CFD); visualisation; visualization; Virtual Heart Model; Point Cloud; Cluster Computing; VTK
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Computer Science & Information Technology
Depositing User: Mr. Faizal Hamzah
Date Deposited: 15 Dec 2011 09:42
Last Modified: 15 Dec 2011 09:42
URI: http://eprints.um.edu.my/id/eprint/2335

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