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Structure-Aware Viewpoint Selection for Volume visualization

Structure-Aware Viewpoint Selection for Volume Visualization

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ieee Pacific visualization symposium

作者： Tao, Yubo Lin, Hai Bao, Hujun Dong, Feng Clapworthy, Gordon Zhejiang Univ State Key Lab CAD&CG Hangzhou Zhejiang Peoples R China Univ Bedfordshire Luton Beds England

ISBN: (纸本)9781424444045

Viewpoint selection is becoming a useful part in the volume visualization pipeline, as it further improves the efficiency of data understanding by providing representative viewpoints. We present two structure-aware view descriptors, which are the shape view descriptor and the detail view descriptor, to select the optimal viewpoint with the maximum amount of the structural information. These two proposed structure-aware view descriptors are both based on the gradient direction, as the gradient is a well-defined measurement of boundary structures, which have been proved as features of interest in many applications. The shape view descriptor is designed to evaluate the overall orientation of features of interest. For estimating local details, we employ the bilateral filter to construct the shape volume. The bilateral filter is very effective in smoothing local details and preserving strong boundary structures at the same time. Therefore, large-scale global structures are in the shape Volume, while small-scale local details still remain in the original Volume. The detail view descriptor measures the amount of visible details on boundary structures in terms of variances in the local structure between the shape volume and the original volume. These two view descriptors can be integrated into a viewpoint selection framework, and this framework can emphasize global structures or local details with flexibility tailored to the user's specific situations. We performed experiments on various types of volume datasets. These experiments verify the effectiveness of our proposed view descriptors, and the proposed viewpoint selection framework actually locates the optimal viewpoints that show the maximum amount of the structural information.

关键词： I.3.3 [Computer graphics]: Picture/Image Generation-Viewing algorithms

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GPU accelerated plant growth modeling and visualization

GPU accelerated plant growth modeling and visualization

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3rd International symposium on Plant Growth Modeling, Simulation, visualization and Applications, PMA09

作者： Zhao, Xing Hu, Jingjing Kang, Mengzhen School of Mathematical Sciences Capital Normal University Beijing 100048 China School of Software Beijing Institute of Technology Beijing 100081 China Institute of Automation Chinese Academy of Sciences Beijing 100080 China

ISBN: (纸本)9780769539881

We present a GPU-accelerated algorithm for plant growth modeling and visualization. In this algorithm, plant topological structures and geometrical structures are represented separately. Plant topological structures are generated by dual-scale automaton, and geometrical structures are dynamically constructed in parallel by the geometry shader of graphics Processing Unit (GPU). This scheme greatly reduces the amount of transferred data between main memory and GPU memory, and speeds up plant growth modeling and rendering without compromising image quality. An application for cotton growth modeling and visualization is given in detail to confirm the advantages of the proposed algorithm. © 2010 ieee.

关键词： graphics processing unit

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Scalable and Interactive Segmentation and visualization of Neural Processes in EM datasets

Scalable and Interactive Segmentation and Visualization of N...

引用

ieee Information visualization Conference/ieee visualization Conference

作者： Jeong, Won-Ki Beyer, Johanna Hadwiger, Markus Vazquez, Amelio Pfister, Hanspeter Whitaker, Ross T. Harvard Univ Sch Engn & Appl Sci Cambridge MA 02138 USA Univ Utah Sci Comp & Imaging Inst Salt Lake City UT 84112 USA

Recent advances in scanning technology provide high resolution EM (Electron Microscopy) datasets that allow neuroscientists to reconstruct complex neural connections in a nervous system. However, due to the enormous size and complexity of the resulting data, segmentation and visualization of neural processes in EM data is usually a difficult and very time-consuming task. In this paper, we present NeuroTrace, a novel EM volume segmentation and visualization system that consists of two parts: a semi-automatic multiphase level set segmentation with 3D tracking for reconstruction of neural processes, and a specialized volume rendering approach for visualization of EM volumes. It employs view-dependent on-demand filtering and evaluation of a local histogram edge metric, as well as on-the-fly interpolation and ray-casting of implicit surfaces for segmented neural structures. Both methods are implemented on the GPU for interactive performance. NeuroTrace is designed to be scalable to large datasets and data-parallel hardware architectures. A comparison of NeuroTrace with a commonly used manual EM segmentation tool shows that our interactive workflow is faster and easier to use for the reconstruction of complex neural processes.

关键词： Segmentation neuroscience connectome volume rendering implicit surface rendering graphics hardware

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Three-dimensional real-time response parallel visualization using multi-core hardware

Three-dimensional real-time response parallel visualization ...

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1st International Conference on Information Science and Engineering, ICISE2009

作者： Tang, Shan Zhen, Kun Liu, Xiu-Guo Faculty of Information Engineering China University of Geosciences Wu Han China

ISBN: (纸本)9780769538877

Through analyzing the reasons which lead to the low efficiency in multiple 3D visualization strategies when rendering the large-scale scene, the paper proposes the serial visualization flow should be divided into three main parallel flow, including I/O response, scene data loading and scene rendering, and the certain numbers of the parallel threads should depend on the parallel ability of the hardware, especially the multi-core hardware. Finally, through comparing the performance between multiple rendering projects, testifying the validity of the real-time response parallel visualization technique. ©2009 ieee.

关键词： Three dimensional computer graphics

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Virtual Reality-Based Multi-View visualization of Time-Dependent Simulation data

Virtual Reality-Based Multi-View Visualization of Time-Depen...

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ieee Virtual Reality 2009 Conference

作者： Hentschel, Bernd Wolter, Marc Kuhlen, Torsten Rhein Westfal TH Aachen Virtual Real Grp Aachen Germany

ISBN: (纸本)9781424439430

The analysis of time-dependent simulation data is a demanding task, both in terms of computing power and time. Interactive analysis using multiple linked views has been shown to be one possible solution to this problem. However, there are two significant shortcomings when limited to a standard desktop-based setup: First, complex spatial relationships are hard to understand using only 2D projections of the data. Second, the size of today's simulation runs is too large to be handled even by powerful workstations. We describe a system for the interactive analysis of large, time-dependent data in virtual environments. Based on the techniques of multiple linked views and brushing, our approach allows the user to quickly formulate, visualize and assess hypotheses about the data. To enable an interactive exploration even in the face of multi-gigabyte data sets, we distribute the workload to a multi-processor parallel machine and a rendering client.

关键词： [I.3.7]: Computer graphics I.3.6 [computer graphics]: Interaction techniques Virtual reality I.6.6 [Simulation and Modelling]:Simulation output analysis

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A framework of large-scale terrain visualization based on GPU

A framework of large-scale terrain visualization based on GP...

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2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009

作者： Li, Bo Li, Zhongyi Wang, Cheng Digital Engineering and Simulation Research Center Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781424445073

In this paper an efficient solution of large scale, interactive terrain visualization is proposed based on graphic hardware. The method of multi-thread is adopted to resolve the bottle-neck problem of data fetching from the external memory, and the methods of level of details (LODs) based on viewdependent and mesh rendering in graphics programmable units (GPU) are used to ensure visual quality and high rendering frame rate. Our framework exploits restricted quadtree structure to recursively subdivide a square block by the algorithm of topdown refinement, and takes advantage of the character of GPU vertex texture to render surface in shaders which extremely reduce time spending by parallel processing. Experimental results show that the framework is output sensitive, effective and satisfies the requirements of interactive large scale terrain visualization. ©2009 ieee.

关键词： Bottles

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Guided analysis of hurricane trends using statistical processes integrated with interactive parallel coordinates

Guided analysis of hurricane trends using statistical proces...

引用

VAST 09 - ieee symposium on Visual Analytics Science and Technology

作者： Steed, Chad A. Swan II, J. Edward Jankun-Kelly, T.J. Fitzpatrick, Patrick J. Naval Research Laboratory United States Mississippi State University United States

ISBN: (纸本)9781424452835

This paper demonstrates the promise of augmenting interactive multivariate representations with information from statistical processes in the domain of weather data analysis. Statistical regression, correlation analysis, and descriptive statistical calculations are integrated via graphical indicators into an enhanced parallel coordinates system, called the Multidimensional data eXplorer (MDX). These statistical indicators, which highlight significant associations in the data, are complemented with interactive visual analysis capabilities. The resulting system allows a smooth, interactive, and highly visual workflow. The system's utility is demonstrated with an extensive hurricane climate study that was conducted by a hurricane expert. In the study, the expert used a new data set of environmental weather data, composed of 28 independent variables, to predict annual hurricane activity. MDX shows the Atlantic Meridional Mode increases the explained variance of hurricane seasonal activity by 7-15% and removes less significant variables used in earlier studies. The findings and feedback from the expert (1) validate the utility of the data set for hurricane prediction, and (2) indicate that the integration of statistical processes with interactive parallel coordinates, as implemented in MDX, addresses both deficiencies in traditional weather data analysis and exhibits some of the expected benefits of visual data analysis. ©2009 ieee.

关键词： Hurricanes

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visualization analysis of multivariate spatial-temporal data of the red army long march in China

Visualization analysis of multivariate spatial-temporal data...

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International symposium on Spatial Analysis, Spatial-Temporal data Modeling, and data Mining

作者： Ma, Ding Ma, Zhimin Meng, Lumin Li, Xia Institute of Mapping Science and Technology Xi'an University of Science and Technology China College of Earth Science and Resources Chang'an University China

ISBN: (纸本)9780819478030

Recently, the visualization of spatial-temporal data in historic events is emphasized by more and more people. To provide an efficient and effective approach to meet this requirement is the duty of Geo-data modeling researchers. The aim of the paper is to ground on a new perspective to visualize the multivariate spatial-temporal data of the Red Army Long March, which is one of the most important events of the Chinese modem history. This research focuses on the extraction of relevant information from a 3-dimensional trajectory, which captures object locations in geographic space at specified temporal intervals. However, existing visualization methods cannot deal with the multivariate spatial-temporal data effectively. Thus there is a potential chance to represent and analyze this kind of data in the case study. The thesis combines two visualization methods, the Space-Time-Cube for spatial temporal data and parallel Coordinates Plots (PCPs) for multivariable data, to develop conceptual GIS database model that facilitates the exploration and analysis of multivariate spatial-temporal data sets in the combination with 3D Space-Time-Path and 2D graphics. The designed model is supported by the geo-visualization environment and integrates diverse sets of multivariate spatial-temporal data and built-up the dynamic process and relationships. It is concluded that this way of geo-visualization can effectively manipulate a large amount of distributed data, realize the high efficient transmission of quantitative and qualitative information and also provide a new research mode in the field of the History of CPC and military affairs. © 2009 SPIE.

关键词： visualization

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parallel Implementation of Irregular Terrain Model on IBM Cell Broadband Engine

Parallel Implementation of Irregular Terrain Model on IBM Ce...

引用

23rd ieee International parallel and Distributed Processing symposium

作者： Song, Yang Rudin, Jeffrey A. Akoglu, Ali Univ Arizona Dept Elect & Comp Engn Tucson AZ 85721 USA Mercury Comp Syst Inc Chelmsford MA USA

ISBN: (纸本)9781424437511

Prediction of radio coverage, also known as radio "hearability" requires the prediction of radio propagation loss. The Irregular Terrain Model (ITM) predicts the median attenuation of a radio signal as a function of distance and the variability of the signal in time and in space. Algorithm can be applied to a large amount of engineering problems to make area predictions for applications such as preliminary estimates for system design, surveillance, and land mobile systems. Then the radio transmitters are mobile, the radio coverage changes dynamically, taking on a real-time aspect that requires thousands of calculations per second, which can be achieved through the use of recent advances in multicore processor technology In this study, we evaluate the performance of ITM on IBM Cell Broadband Engine (BE). We first give a brief introduction to the algorithm of ITM and present both the serial and parallel execution manner of its implementation. Then we exploit how to map out the program on the target processor in detail. We choose message queues on Cell BE which offer the simplest possible expression of the algorithm while being able to fully utilize the hardware resources. Full code segment and a complete set of terrain profiles fit into each processing element without the need for further partitioning. Communications and memory, management overhead is minimal and we achieve 90.2% processor utilization with 7.9x speed up compared to serial version. Through our experimental studies, we show that the program is scalable and suits very well for implementing on the CELL BE architecture based on the granularity of computation kernels and memory footprint of the algorithm.

关键词： Radio transmission

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Fast parallel unbiased diffeomorphic atlas construction on multi-graphics processing units

Fast parallel unbiased diffeomorphic atlas construction on m...

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9th Eurographics symposium on parallel graphics and visualization, EGPGV 2009

作者： Ha, Linh K. Krüger, Jens Fletcher, P. Thomas Joshi, Sarang Silva, Cláudio T. Scientific Computing and Imaging Institute The University of Utah United States

ISBN: (纸本)9783905674156

Unbiased diffeomorphic atlas construction has proven to be a powerful technique for medical image analysis, particularly in brain imaging. The method operates on a large set of images, mapping them all into a common coordinate system, and creating an unbiased common template for studying intra-population variability and inter-population differences. The technique has also proven effective in tissue and object segmentation via registration of anatomical labels. However, a major barrier to the use of this approach is its high computational cost. Especially with the increasing number of inputs and data size, it becomes impractical even with a fully optimized implementation on CPUs. Fortunately, the highly element-wise independence of the problem makes it well suited for parallel processing. This paper presents an efficient implementation of unbiased diffeomorphic atlas construction on the new parallel processing architecture based on Multi-graphics Processing Units (Multi-GPUs). Our results show that the GPU implementation gives a substantial performance gain on the order of twenty to sixty times faster than a single CPU and provides an inexpensive alternative to large distributed-memory CPU clusters. © The Eurographics Association 2009.

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