A Visualization ToolKit Based Application for Representing Macromolecular Surfaces

Author(s):  
Paolo Cozzi ◽  
Ivan Merelli ◽  
Luciano Milanesi
2002 ◽  
Vol 2 (4) ◽  
pp. 277-284 ◽  
Author(s):  
Yutaka Ohtake ◽  
Alexander G. Belyaev

A new method for improving polygonizations of implicit surfaces with sharp features is proposed. The method is based on the observation that, given an implicit surface with sharp features, a triangle mesh whose triangles are tangent to the implicit surface at certain inner triangle points gives a better approximation of the implicit surface than the standard Marching Cubes mesh [Lorensen, W.E., and Cline, H.E., 1987, Computer Graphics (Proceedings of SIGGRAPH ’87), 21(3), pp. 163–169] (in our experiments we use VTK Marching Cubes [Schroeder, W., Martin, K., and Lorensen, W., 1998, The Visualization Toolkit: An Object-Oriented Approach to 3-D Graphics, Prentice Hall]). First, given an initial triangle mesh, its dual mesh composed of the triangle centroids is considered. Then the dual mesh is modified such that its vertices are placed on the implicit surface and the mesh dual to the modified dual mesh is considered. Finally the vertex positions of that “double dual” mesh are optimized by minimizing a quadratic energy measuring a deviation of the mesh normals from the implicit surface normals computed at the vertices of the modified dual mesh. In order to achieve an accurate approximation of fine surface features, these basic steps are combined with adaptive mesh subdivision and curvature-weighted vertex resampling. The proposed method outperforms approaches based on the mesh evolution paradigm in speed and accuracy.


2000 ◽  
Vol 9 (3) ◽  
pp. 509 ◽  
Author(s):  
Peter Sutherland ◽  
Anthony Rossini ◽  
Thomas Lumley ◽  
Nicholas Lewin-Koh ◽  
Julie Dickerson ◽  
...  

Oncotarget ◽  
2016 ◽  
Vol 8 (18) ◽  
pp. 29657-29667 ◽  
Author(s):  
James L. Bown ◽  
Mark Shovman ◽  
Paul Robertson ◽  
Andrei Boiko ◽  
Alexey Goltsov ◽  
...  

2006 ◽  
Vol 19 (1) ◽  
pp. 17-29 ◽  
Author(s):  
Su Huang ◽  
Rafail Baimouratov ◽  
Pengdong Xiao ◽  
Anand Ananthasubramaniam ◽  
Wieslaw L. Nowinski

2021 ◽  
Author(s):  
Kalamkas Yessimkhanova ◽  
Mátyás Gede

<p>The majority of studies are dedicated to the analysis of climate change and climate models with no regard for data visualization part. Therefore, this research is aimed at highlighting challenges, with an emphasis on spatial referencing that can occur while visualizing CORDEX data. CORDEX data are stored in NetCDF file format, and sometimes georeferencing may be misconceived in QGIS software. For this reason, two techniques of georeferencing data are examined in this work. The first way of data georeferencing is re-projecting coordinates from original projection to an interpolated latitude/longitude grid. The second way is re-encrypting initial data file so that QGIS is able to interpret projection information. Preference of using QGIS explained by two reasons: it is open source GIS application and it has expanded visualization toolkit.</p><p>In addition, there are a great deal of climate models based on CORDEX data for some regions whereas there is a lack of climate projections for particular areas. In this regard, carrying out analysis for the region of Kazakhstan is beneficial. Outcomes of this research may stimulate spreading local climate models for Kazakhstan territory. Results are represented in the form of maps of Kazakhstan illustrating temperature change over 21<sup>st</sup> century time period.</p>


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