Rübel, Oliver Ahern, Sean Bethel, E. Wes Biggin, Mark D. Childs, Hank Cormier-Michel, Estelle DePace, Angela Eisen, Michael B. Fowlkes, Charless C. Geddes, Cameron R.
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Knowledge discovery from large and complex scientific data is a challenging task. With the ability to measure and simulate more processes at increasingly finer spatial and temporal scales, the growing number of data dimensions and data objects presents tremendous challenges for effective data analysis and data exploration methods and tools. The com...
Ruebel, Oliver
Knowledge discovery from large and complex collections of today's scientific datasets is a challenging task. With the ability to measure and simulate more processes at increasingly finer spatial and temporal scales, the increasing number of data dimensions and data objects is presenting tremendous challenges for data analysis and effective data exp...
大谷, 寛明 大野, 暢亮 水口, 直紀 庄司, 主 石黒, 静児 Ohtani, Hiroaki Ohno, Nobuaki Mizuguchi, Naoki Shoji, Mamoru Ishiguro, Seiji
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Barbier, Sébastien
La simulation numérique génère des maillages de plus en plus gros pouvant atteindre plusieurs dizaines de millions de tétraèdres. Ces ensembles doivent être visuellement analysés afin d'acquérir des connaissances relatives aux données physiques simulées pour l'élaboration de conclusions. Les capacités de calcul utilisées pour la visualisation scien...
Bivall Persson, Petter Höst, Gunnar E. Cooper, Matthew D. Tibell, Lena A. E. Ynnerman, Anders
In this paper we present a history dependent transfer function (HDTF) as a possible approach to enable improved haptic feature detection in high dynamic range (HDR) volume data. The HDTF is a multi-dimensional transfer function that uses the recent force history as a selection criterion to switch between transfer functions, thereby adapting to the ...
Frishert, Willem Jan
Visualization of large scale time-varying volumetric datasets is an active topic of research. Technical limitations in terms of bandwidth and memory usage become a problem when visualizing these datasets on commodity computers at interactive frame rates. The overall objective is to overcome these limitations by adapting the methods of an existing D...
Lundström, Claes
Direct Volume Rendering (DVR) is a visualization technique that has proved to be a very powerful tool in many scientific visualization applications. Diagnostic medical imaging is one domain where DVR could provide clear benefits in terms of unprecedented possibilities for analysis of complex cases and highly efficient work flow for certain routine ...
Ljung, Patric
Direct Volume Rendering (DVR) is a technique for creating images directly from a representation of a function defined over a three-dimensional domain. The technique has many application fields, such as scientific visualization and medical imaging. A striking property of the data sets produced within these fields is their ever increasing size and co...
Kraus, Martin
Interactive volume visualization (i.e., the visualization of scalar data defined on volumetric meshes in real time) is not only difficult to achieve for large meshes but it is also complicated by particular geometric features of volumetric meshes, e.g., non-uniform cells, non-convex boundaries, or visibility cycles. This thesis addresses several of...
Bruckschen, Ralph W. Kuester, Falko Hamann, Bernd Joy, Ken
Visualization of particle traces provides intuitive and efficient means for the exploration and analysis of complex vector fields. This paper presents a method suitable for the real-time visualization of arbitrarily large time-varying vector fields in virtual environments. We describe an out-of-core scheme in which two distinct pre-processing and r...