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Visualization of Multi-Variate Scientific Data
"... In this state-of-the-art report we discuss relevant research works related to the visualization of complex, multivariate data. We discuss how different techniques take effect at specific stages of the visualization pipeline and how they apply to multi-variate data sets being composed of scalars, vec ..."
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Cited by 26 (8 self)
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In this state-of-the-art report we discuss relevant research works related to the visualization of complex, multivariate data. We discuss how different techniques take effect at specific stages of the visualization pipeline and how they apply to multi-variate data sets being composed of scalars, vectors and tensors. We also provide a categorization of these techniques with the aim for a better overview of related approaches. Based on this classification we highlight combinable and hybrid approaches and focus on techniques that potentially lead towards new directions in visualization research. In the second part of this paper we take a look at recent techniques that are useful for the visualization of complex data sets either because they are general purpose or because they can be adapted to specific problems.
A smoke visualization model for capturing surface-like features
- Computer Graphics Forum (Proc. Eurographics
"... Incense, candle smoke and cigarette smoke often exhibit smoke flows with a surface-like appearance. Although delving into well-known computational fluid dynamics may provide a solution to create such an appearance, we propose a much efficient alternative that combines a low-resolution fluid simulati ..."
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Cited by 5 (0 self)
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Incense, candle smoke and cigarette smoke often exhibit smoke flows with a surface-like appearance. Although delving into well-known computational fluid dynamics may provide a solution to create such an appearance, we propose a much efficient alternative that combines a low-resolution fluid simulation with explicit geometry provided by NURBS surfaces. Among a wide spectrum of fluid simulation, our algorithm specifically tailors to reproduce the semi-transparent surface look and motion of the smoke. The main idea is that we follow the traces called streaklines created by the advected particles from a simulation and reconstruct NURBS surfaces passing through them. Then, we render the surfaces by applying an opacity map to each surface, where the opacity map is created by utilizing the smoke density and the characteristics of the surface contour. Augmenting the results from low-resolution simulations such a way requires a low computational cost and memory usage by design.
Research Article Molecular Surface Mesh Generation by Filtering Electron Density Map
"... License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Bioinformatics applied to macromolecules are now widely spread and in continuous expansion. In this context, representing external molecular surface such as the Van de ..."
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License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Bioinformatics applied to macromolecules are now widely spread and in continuous expansion. In this context, representing external molecular surface such as the Van der Waals Surface or the Solvent Excluded Surface can be useful for several applications. We propose a fast and parameterizable algorithm giving good visual quality meshes representing molecular surfaces. It is obtained by isosurfacing a filtered electron density map. The density map is the result of the maximum of Gaussian functions placed around atom centers. This map is filtered by an ideal low-pass filter applied on the Fourier Transform of the density map. Applying the marching cubes algorithm on the inverse transform provides a mesh representation of the molecular surface. 1.
STAR – State of The Art Report Visualization of Multi-variate Scientific Data
"... In this state-of-the-art report we discuss relevant research works related to the visualization of complex, multivariate data. We focus on ”non-classical ” approaches, i.e. approaches which haven’t been discussed in previous related reports, and we highlight techniques which potentially lead towards ..."
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In this state-of-the-art report we discuss relevant research works related to the visualization of complex, multivariate data. We focus on ”non-classical ” approaches, i.e. approaches which haven’t been discussed in previous related reports, and we highlight techniques which potentially lead towards new directions in visualization research. We discuss how different techniques take effect at specific stages of the visualization pipeline and how they apply to multi-variate data sets being composed of scalars, vectors, and tensors. We also provide a categorization of these techniques in the aim for a better overview of related approaches. In the second part of this paper we take a look at recent techniques that are useful for the visualization of complex data sets either because they are general purpose or because they can be adapted to specific problems. 1.
