2015 IEEE Scientific Visualization Conference (SciVis)最新文献

Visualising the dark sky IEEE SciVis contest 2015 可视化的黑暗天空IEEE SciVis竞赛2015

2015 IEEE Scientific Visualization Conference (SciVis) Pub Date : 2015-10-25 DOI: 10.1109/SciVis.2015.7429496

Theodoros Christoudias, C. Kallidonis, L. Koutsantonis, Christos Lemesios, Lefteris Markou, Constantinos Sophocleous

引用次数: 5

High performance flow field visualization with high-order access dependencies 具有高阶访问依赖的高性能流场可视化

2015 IEEE Scientific Visualization Conference (SciVis) Pub Date : 2015-10-25 DOI: 10.1109/SciVis.2015.7429515

Jiang Zhang, Hanqi Guo, Xiaoru Yuan

引用次数: 0

3D superquadric glyphs for visualizing myocardial motion 用于可视化心肌运动的三维超二次字形

2015 IEEE Scientific Visualization Conference (SciVis) Pub Date : 2015-10-25 DOI: 10.1109/SCIVIS.2015.7429504

T. Chitiboi, M. Neugebauer, S. Schnell, M. Markl, L. Linsen

引用次数: 5

Visual verification of space weather ensemble simulations 空间天气集合模拟的目视验证

2015 IEEE Scientific Visualization Conference (SciVis) Pub Date : 2015-10-25 DOI: 10.1109/SciVis.2015.7429487

A. Bock, A. Pembroke, M. L. Mays, L. Rastaetter, T. Ropinski, A. Ynnerman

引用次数: 27

Visualizing 3D flow through cutting planes 可视化3D流通过切割平面

2015 IEEE Scientific Visualization Conference (SciVis) Pub Date : 2015-10-25 DOI: 10.1109/SciVis.2015.7429513

C. Ware, A. Stevens

引用次数: 0

A visual voting framework for weather forecast calibration 用于天气预报校正的可视化投票框架

2015 IEEE Scientific Visualization Conference (SciVis) Pub Date : 2015-10-25 DOI: 10.1109/SciVis.2015.7429488

Hongsen Liao, Yingcai Wu, Li Chen, T. Hamill, Yunhai Wang, Kan Dai, Hui Zhang, Wei Chen

{"title":"A visual voting framework for weather forecast calibration","authors":"Hongsen Liao, Yingcai Wu, Li Chen, T. Hamill, Yunhai Wang, Kan Dai, Hui Zhang, Wei Chen","doi":"10.1109/SciVis.2015.7429488","DOIUrl":"https://doi.org/10.1109/SciVis.2015.7429488","url":null,"abstract":"Numerical weather predictions have been widely used for weather forecasting. Many large meteorological centers are producing highly accurate ensemble forecasts routinely to provide effective weather forecast services. However, biases frequently exist in forecast products because of various reasons, such as the imperfection of the weather forecast models. Failure to identify and neutralize the biases would result in unreliable forecast products that might mislead analysts; consequently, unreliable weather predictions are produced. The analog method has been commonly used to overcome the biases. Nevertheless, this method has some serious limitations including the difficulties in finding effective similar past forecasts, the large search space for proper parameters and the lack of support for interactive, real-time analysis. In this study, we develop a visual analytics system based on a novel voting framework to circumvent the problems. The framework adopts the idea of majority voting to combine judiciously the different variants of analog methods towards effective retrieval of the proper analogs for calibration. The system seamlessly integrates the analog methods into an interactive visualization pipeline with a set of coordinated views that characterizes the different methods. Instant visual hints are provided in the views to guide users in finding and refining analogs. We have worked closely with the domain experts in the meteorological research to develop the system. The effectiveness of the system is demonstrated using two case studies. An informal evaluation with the experts proves the usability and usefulness of the system.","PeriodicalId":123718,"journal":{"name":"2015 IEEE Scientific Visualization Conference (SciVis)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129831863","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: 9

Real-time uncertainty visualization for B-mode ultrasound b超实时不确定度可视化

2015 IEEE Scientific Visualization Conference (SciVis) Pub Date : 2015-10-25 DOI: 10.1109/SciVis.2015.7429489

C. Berge, D. Declara, C. Hennersperger, Maximilian Baust, Nassir Navab

{"title":"Real-time uncertainty visualization for B-mode ultrasound","authors":"C. Berge, D. Declara, C. Hennersperger, Maximilian Baust, Nassir Navab","doi":"10.1109/SciVis.2015.7429489","DOIUrl":"https://doi.org/10.1109/SciVis.2015.7429489","url":null,"abstract":"B-mode ultrasound is a very well established imaging modality and is widely used in many of today's clinical routines. However, acquiring good images and interpreting them correctly is a challenging task due to the complex ultrasound image formation process depending on a large number of parameters. To facilitate ultrasound acquisitions, we introduce a novel framework for real-time uncertainty visualization in B-mode images. We compute real-time per-pixel ultrasound Confidence Maps, which we fuse with the original ultrasound image in order to provide the user with an interactive feedback on the quality and credibility of the image. In addition to a standard color overlay mode, primarily intended for educational purposes, we propose two perceptional visualization schemes to be used in clinical practice. Our mapping of uncertainty to chroma uses the perceptionally uniform L*a*b* color space to ensure that the perceived brightness of B-mode ultrasound remains the same. The alternative mapping of uncertainty to fuzziness keeps the B-mode image in its original grayscale domain and locally blurs or sharpens the image based on the uncertainty distribution. An elaborate evaluation of our system and user studies on both medical students and expert sonographers demonstrate the usefulness of our proposed technique. In particular for ultrasound novices, such as medical students, our technique yields powerful visual cues to evaluate the image quality and thereby learn the ultrasound image formation process. Furthermore, seeing the distribution of uncertainty adjust to the transducer positioning in real-time, provides also expert clinicians with a strong visual feedback on their actions. This helps them to optimize the acoustic window and can improve the general clinical value of ultrasound.","PeriodicalId":123718,"journal":{"name":"2015 IEEE Scientific Visualization Conference (SciVis)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122687597","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: 9

Halos in a dark sky: Interactively exploring the structure of dark matter halo merger trees 黑暗天空中的晕:相互作用地探索暗物质晕合并树的结构

2015 IEEE Scientific Visualization Conference (SciVis) Pub Date : 2015-10-25 DOI: 10.1109/SciVis.2015.7429495

K. Almryde, A. Forbes

引用次数: 9

Inviwo - An extensible, multi-purpose visualization framework Inviwo -一个可扩展的、多用途的可视化框架

2015 IEEE Scientific Visualization Conference (SciVis) Pub Date : 2015-10-25 DOI: 10.1109/SciVis.2015.7429514

E. Sundén, P. Steneteg, S. Kottravel, Daniel Jönsson, Rickard Englund, M. Falk, T. Ropinski

{"title":"Inviwo - An extensible, multi-purpose visualization framework","authors":"E. Sundén, P. Steneteg, S. Kottravel, Daniel Jönsson, Rickard Englund, M. Falk, T. Ropinski","doi":"10.1109/SciVis.2015.7429514","DOIUrl":"https://doi.org/10.1109/SciVis.2015.7429514","url":null,"abstract":"To enable visualization research impacting other scientific domains, the availability of easy-to-use visualization frameworks is essential. Nevertheless, an easy-to-use system also has to be adapted to the capabilities of modern hardware architectures, as only this allows for realizing interactive visualizations. With this trade-off in mind, we have designed and realized the cross-platform Inviwo (Interactive Visualization Workshop) visualization framework, that supports both interactive visualization research as well as efficient visualization application development and deployment. In this poster we give an overview of the architecture behind Inviwo, and show how its design enables us and other researchers to realize their visualization ideas efficiently. Inviwo consists of a modern and lightweight, graphics independent core, which is extended by optional modules that encapsulate visualization algorithms, well-known utility libraries and commonly used parallel-processing APIs (such as OpenGL and OpenCL). The core enables a simplistic structure for creating bridges between the different modules regarding data transfer across architecture and devices with an easy-to-use screen graph and minimalistic programming. Making the base structures in a modern way while providing intuitive methods of extending the functionality and creating modules based on other modules, we hope that Inviwo can help the visualization community to perform research through a rapid-prototyping design and GUI, while at the same time allowing users to take advantage of the results implemented in the system in any way they desire later on. Inviwo is publicly available at www.inviwo.org, and can be used freely by anyone under a permissive free software license (Simplified BSD).","PeriodicalId":123718,"journal":{"name":"2015 IEEE Scientific Visualization Conference (SciVis)","volume":"202 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124525259","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: 23

Auto-calibration of multi-projector displays with a single handheld camera 自动校准多投影仪显示与一个单一的手持相机

2015 IEEE Scientific Visualization Conference (SciVis) Pub Date : 2015-10-25 DOI: 10.1109/SciVis.2015.7429493

Sanghun Park, Hyunggoog Seo, Seunghoon Cha, Jun-yong Noh

引用次数: 6