Automatic Detection and Visualization of Distinctive Structures in 3D Unsteady Multi-fields
نویسندگان
چکیده
Current unsteady multi-field simulation data-sets consist of millions of data-points. To efficiently reduce this enormous amount of information, local statistical complexity was recently introduced as a method that identifies distinctive structures using concepts from information theory. Due to high computational costs this method was so far limited to 2D data. In this paper we propose a new strategy for the computation that is substantially faster and allows for a more precise analysis. The bottleneck of the original method is the division of spatio-temporal configurations in the field (light-cones) into different classes of behavior. The new algorithm uses a density-driven voronoi tesselation for this task that more accurately captures the distribution of configurations in the sparsely sampled high-dimensional space. The efficient computation is achieved using structures and algorithms from graph theory. The ability of the method to detect distinctive regions in 3D is illustrated using flow and weather simulations.
منابع مشابه
A Hybrid Method for Segmentation and Visualization of Teeth in Multi-Slice CT scan Images
Introduction: Various computer assisted medical procedures such as dental implant, orthodontic planning, face, jaw and cosmetic surgeries require automatic quantification and volumetric visualization of teeth. In this regard, segmentation is a major step. Material and Methods: In this paper, inspired by our previous experiences and considering the anatomical knowledge of teeth and jaws, we prop...
متن کاملInteractive Visual Exploration of Unsteady 3D Flows
In this paper we present GPU-based techniques for the interactive visualization of large unsteady 3D flow fields on uniform grids. We propose a novel dual-core approach to asynchronously stream such fields from the CPU, thus enabling the efficient exploration of large time-resolved sequences. This approach decouples visualization from data handling, resulting in interactive frame rates. Built u...
متن کاملGPU-Based 3D Texture Advection for the Visualization of Unsteady Flow Fields
We present an interactive visualization approach for the dense representation of unsteady 3D flow fields. The first part of this approach is a GPU-based 3D texture advection scheme that allows a slice of the 3D visual representation to be updated in a single rendering pass. In the second step, the result of the advection process is displayed by texture-based volume rendering. Since both parts a...
متن کاملTowards Automatic Feature-based Visualization
Visualizations are well suited to communicate large amounts of complex data. With increasing resolution in the spatial and temporal domain simple imaging techniques meet their limits, as it is quite difficult to display multiple variables in 3D or analyze long video sequences. Feature detection techniques reduce the data-set to the essential structures and allow for a highly abstracted represen...
متن کاملFlow Visualization by Conditional Sampling of a Single X-Wire Probe in a Very Long Run Experiment
Flow visualization techniques using tracer markers such as die, smoke, hydrogen bubbles, etc., have been widely used in experimental investigations of large scale structures of a variety of flow fields. They have played an important role in understanding the physics of the coherent structures' formation and evolution in the transitional as well as the turbulent regions of the flow fields. Howev...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Comput. Graph. Forum
دوره 27 شماره
صفحات -
تاریخ انتشار 2008