Eurographics Conference on Visualization最新文献_第8页

IN2CO - A Visualization Framework for Intuitive Collaboration IN2CO -直观协作的可视化框架

Eurographics Conference on Visualization Pub Date : 2016-06-06 DOI: 10.2312/eurovisshort.20161174

Franca-Alexandra Rupprecht, B. Hamann, C. Weidig, J. Aurich, A. Ebert

引用次数: 6

Geometry-Aware Visualization of Performance Data 性能数据的几何感知可视化

Eurographics Conference on Visualization Pub Date : 2016-06-06 DOI: 10.2312/eurp.20161136

Tom Vierjahn, B. Hentschel, T. Kuhlen

引用次数: 0

InVITe - Towards Intuitive Visualization of Iterations over Text InVITe -迈向文本迭代的直观可视化

Eurographics Conference on Visualization Pub Date : 2016-06-01 DOI: 10.2312/eurp.20161141

Houda Lamqaddam, J. Aerts

引用次数: 0

Visualization of Publication Impact 出版物影响可视化

Eurographics Conference on Visualization Pub Date : 2016-05-20 DOI: 10.2312/eurovisshort.20161169

E. Maguire, Javier Martin Montull, Gilles Louppe

引用次数: 8

Memory Efficient Parallel Ray-casting Algorithm for Unstructured Grid Volume Rendering 面向非结构化网格体绘制的内存高效并行光线投射算法

Eurographics Conference on Visualization Pub Date : 2016-03-15 DOI: 10.2312/eurp.20171157

Duksu Kim

{"title":"Memory Efficient Parallel Ray-casting Algorithm for Unstructured Grid Volume Rendering","authors":"Duksu Kim","doi":"10.2312/eurp.20171157","DOIUrl":"https://doi.org/10.2312/eurp.20171157","url":null,"abstract":"We present a novel memory-efficient parallel ray casting algorithm for unstructured grid volume rendering on multi-core CPUs. Our method is based on the Bunyk ray casting algorithm. To solve the high memory overhead problem of the Bunyk algorithm, we allocate a fixed size local buffer for each thread and the local buffers contain information of recently visited faces. The stored information is used by other rays or replaced by other face's information. To improve the utilization of local buffers, we propose an image-plane based ray grouping algorithm that makes ray groups have high coherency. The ray groups are then distributed to computing threads and each thread processes the given groups independently. We also propose a novel hash function that uses the index of faces as keys for calculating the buffer index each face will use to store the information. To see the benefits of our method, we applied it to three unstructured grid datasets with different sizes and measured the performance. We found that our method requires just 6% of the memory space compared with the Bunyk algorithm for storing face information. Also it shows compatible performance with the Bunyk algorithm even though it uses less memory. In addition, our method achieves up to 22% higher performance for a large-scale unstructured grid dataset with less memory than Bunyk algorithm. These results show the robustness and efficiency of our method and it demonstrates that our method is suitable to volume rendering for a large-scale unstructured grid dataset.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128676737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

A Testbed Combining Visual Perception Models for Geographic Gaze Contingent Displays 地理注视偶然显示的视觉感知模型组合测试平台

Eurographics Conference on Visualization Pub Date : 2015-05-29 DOI: 10.2312/eurovisshort.20151127

K. Bektaş, A. Çöltekin, J. Krüger, A. Duchowski

{"title":"A Testbed Combining Visual Perception Models for Geographic Gaze Contingent Displays","authors":"K. Bektaş, A. Çöltekin, J. Krüger, A. Duchowski","doi":"10.2312/eurovisshort.20151127","DOIUrl":"https://doi.org/10.2312/eurovisshort.20151127","url":null,"abstract":"We present a testbed featuring gaze-contingent displays (GCDs), in which we combined multiple models of the human visual system (HVS) to manage the visual level of detail. GCDs respond to the viewer’s gaze in real-time, rendering a space-variant visualization. Our testbed is optimized for testing mathematical models of the human visual perception utilized in GCDs. Specifically, we combined models of contrast sensitivity, color perception and depth of field; and customized our implementation for geographic imagery. In this customization process, similarly to the geographic information systems (GIS), we georeference the input images, add vector layers on demand, and enable stereo viewing. After the implementation, we studied the computational and perceptual benefits of the studied perceptual models in terms of data reduction and user experience in geographic information science (GIScience) domain. Our computational validation experiments and the user study results indicate the HVS-based data reduction solutions are competitive, and encourage further research. We believe the research outcome and the testbed will be relevant in domains where visual interpretation of imagery is a part of professional life; such as in search and rescue, damage assessment in hazards, geographic image interpretation or urban planning.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133461800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 28

Visual Techniques to Support Exploratory Analysis of Temporal Graph Data 支持时间图数据探索性分析的可视化技术

Eurographics Conference on Visualization Pub Date : 2015-05-24 DOI: 10.2312/eurovisshort.20151133

Natalie Kerracher, J. Kennedy, K. Chalmers, Martin Graham

引用次数: 11

Dynamic Scheduling for Progressive Large-Scale Visualization 渐进式大规模可视化的动态调度

Eurographics Conference on Visualization Pub Date : 2015-05-24 DOI: 10.2312/eurovisshort.20151122

M. Flatken, A. Berres, Jonas Merkel, I. Hotz, A. Gerndt, H. Hagen

引用次数: 1

Towards Understanding Enjoyment and Flow in Information Visualization 理解信息可视化中的享受与流动

Eurographics Conference on Visualization Pub Date : 2015-03-01 DOI: 10.2312/eurovisshort.20151134

B. Saket, C. Scheidegger, S. Kobourov

引用次数: 13

Functional Unit Maps for Data-Driven Visualization of High-Density EEG Coherence 高密度脑电相干性数据驱动可视化的功能单元图

Eurographics Conference on Visualization Pub Date : 2007-05-23 DOI: 10.2312/VisSym/EuroVis07/259-266

M. T. Caat, N. Maurits, J. Roerdink

{"title":"Functional Unit Maps for Data-Driven Visualization of High-Density EEG Coherence","authors":"M. T. Caat, N. Maurits, J. Roerdink","doi":"10.2312/VisSym/EuroVis07/259-266","DOIUrl":"https://doi.org/10.2312/VisSym/EuroVis07/259-266","url":null,"abstract":"Synchronous electrical activity in different brain regions is generally assumed to imply functional relationships between these regions. A measure for this synchrony is electroencephalography (EEG) coherence, computed between pairs of signals as a function of frequency. Existing high-density EEG coherence visualizations are generally either hypothesis-driven, or data-driven graph visualizations which are cluttered. In this paper, a new method is presented for data-driven visualization of high-density EEG coherence, which strongly reduces clutter and is referred to as functional unit (FU) map. Starting from an initial graph, with vertices representing electrodes and edges representing significant coherences between electrode signals, we define an FU as a set of electrodes represented by a clique consisting of spatially connected vertices. In an FU map, the spatial relationship between electrodes is preserved, and all electrodes in one FU are assigned an identical gray value. Adjacent FUs are visualized with different gray values and FUs are connected by a line if the average coherence between FUs exceeds a threshold. Results obtained with our visualization are in accordance with known electrophysiological findings. FU maps can be used as a preprocessing step for conventional analysis.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124894665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 17