TEKNIK PEMETAAN BERASASKAN MODEL BAGI VISUALISASI DALAM PERKOMPUTERAN SAINTIFIK MELALUI SUA TU PERMUKAAN IMPLISIT
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Date
1998-09
Authors
Sarimuthu, Rita
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Abstract
This thesis reviews Modular Visualization Environments ( MVEs), a recent architecture for
visualization software, and introduces an alternative approach to MVEs, which is built
upon recognized benefits of MVEs and overcomes some limitations of MVEs.
The alternative mapping technique introduced in this thesis is called the Model Based
Mapping Technique. Its main objective is to create graphics primitives fl'om scientific data
via a model of the underlying phenomenon.
The MVE architecture used for visualizing data affects image accuracy. Data flow from one
process to another modifies initial data relationships which are very important to the
scientist. Visualizing data alone is inefficient and mapping scientific data can cause
excessive memory requirements.
A concept which separates modelling from viewing to resolve the above mentioned
limitations by avoiding low level implicit assumptions is employed in this mapping
technique. Models represented as mathematical functions help to compress data and images
can be derived accurately from these functions. A polygonizing algorithm for use in this
context is introduced. In this algorithm, models represented as implicit surface functions
are used to derive a polygonal approximation for image rendering.
The Model Based Mapping Technique is successful in mapping and rendering images for
models represented in implicit surface form and 30 numerical data. This technique can be
used to visualize multiple isosurfaces and disjoint surfaces of an isosurface
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TEKNIK PEMETAAN BERASASKAN MODEL BAGI VISUALISASI DALAM PERKOMPUTERAN