2010 IEEE Pacific Visualization Symposium (PacificVis)最新文献_第2页

Physically-based interactive schlieren flow visualization 基于物理的交互式纹影流可视化

2010 IEEE Pacific Visualization Symposium (PacificVis) Pub Date : 2010-03-02 DOI: 10.1109/PACIFICVIS.2010.5429599

Carson Brownlee, Vincent Pegoraro, S. Shankar, P. McCormick, C. Hansen

{"title":"Physically-based interactive schlieren flow visualization","authors":"Carson Brownlee, Vincent Pegoraro, S. Shankar, P. McCormick, C. Hansen","doi":"10.1109/PACIFICVIS.2010.5429599","DOIUrl":"https://doi.org/10.1109/PACIFICVIS.2010.5429599","url":null,"abstract":"Understanding fluid flow is a difficult problemand of increasing importance as computational fluid dynamics produces an abundance of simulation data. Experimental flow analysis has employed techniques such as shadowgraph and schlieren imaging for centuries which allow empirical observation of inhomogeneous flows. Shadowgraphs provide an intuitive way of looking at small changes in flow dynamics through caustic effects while schlieren cutoffs introduce an intensity gradation for observing large scale directional changes in the flow. The combination of these shading effects provides an informative global analysis of overall fluid flow. Computational solutions for these methods have proven too complex until recently due to the fundamental physical interaction of light refracting through the flow field. In this paper, we introduce a novel method to simulate the refraction of light to generate synthetic shadowgraphs and schlieren images of time-varying scalar fields derived from computational fluid dynamics (CFD) data. Our method computes physically accurate schlieren and shadowgraph images at interactive rates by utilizing a combination of GPGPU programming, acceleration methods, and data-dependent probabilistic schlieren cutoffs. Results comparing this method to previous schlieren approximations are presented.","PeriodicalId":149295,"journal":{"name":"2010 IEEE Pacific Visualization Symposium (PacificVis)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128990699","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: 10

A layer-oriented interface for visualizing time-series data from oscilloscopes 一个面向层的接口，用于从示波器中可视化时间序列数据

2010 IEEE Pacific Visualization Symposium (PacificVis) Pub Date : 2010-03-02 DOI: 10.1109/PACIFICVIS.2010.5429607

R. Lopez-Hernandez, David Guilmaine, Michael J. McGuffin, L. Barford

引用次数: 14

Interactive local clustering operations for high dimensional data in parallel coordinates 并行坐标下高维数据的交互式局部聚类操作

2010 IEEE Pacific Visualization Symposium (PacificVis) Pub Date : 2010-03-02 DOI: 10.1109/PACIFICVIS.2010.5429608

Peihong Guo, He Xiao, Zuchao Wang, Xiaoru Yuan

引用次数: 33

Motion track: Visualizing variations of human motion data 运动轨迹:可视化人类运动数据的变化

2010 IEEE Pacific Visualization Symposium (PacificVis) Pub Date : 2010-03-02 DOI: 10.1109/PACIFICVIS.2010.5429596

Yueqi Hu, Shuangyuan Wu, Shi-hong Xia, Jinghua Fu, Wei Chen

引用次数: 37

A sketch-based interface for classifying and visualizing vector fields 一个用于分类和可视化向量场的基于草图的界面

2010 IEEE Pacific Visualization Symposium (PacificVis) Pub Date : 2010-03-02 DOI: 10.1109/PACIFICVIS.2010.5429603

Jishang Wei, Chaoli Wang, Hongfeng Yu, K. Ma

{"title":"A sketch-based interface for classifying and visualizing vector fields","authors":"Jishang Wei, Chaoli Wang, Hongfeng Yu, K. Ma","doi":"10.1109/PACIFICVIS.2010.5429603","DOIUrl":"https://doi.org/10.1109/PACIFICVIS.2010.5429603","url":null,"abstract":"In flow visualization, field lines are often used to convey both global and local structure and movement of the flow. One challenge is to find and classify the representative field lines. Most existing solutions follow an automatic approach that generates field lines characterizing the flow and arranges these lines into a single picture. In our work, we advocate a user-centric approach to exploring 3D vector fields. Our method allows the user to sketch 2D curves for pattern matching in 2D and field lines clustering in 3D. Specifically, a 3D field line whose view-dependent 2D projection is most similar to the user drawing will be identified and utilized to extract all similar 3D field lines. Furthermore, we employ an automatic clustering method to generate field-line templates for the user to locate subfields of interest. This semi-automatic process leverages the user's knowledge about the flow field through intuitive user interaction, resulting in a promising alternative to existing flow visualization solutions. With our sketch-based interface, the user can effectively dissect the flow field and make more structured visualization for analysis or presentation.","PeriodicalId":149295,"journal":{"name":"2010 IEEE Pacific Visualization Symposium (PacificVis)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125780347","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: 51

An advection-reaction model for flow visualization 流动显示的平流-反应模型

2010 IEEE Pacific Visualization Symposium (PacificVis) Pub Date : 2010-03-02 DOI: 10.1109/PACIFICVIS.2010.5429598

Rüyam Acar

引用次数: 1

Verification of the time evolution of cosmological simulations via hypothesis-driven comparative and quantitative visualization 通过假设驱动的比较和定量可视化验证宇宙模拟的时间演化

2010 IEEE Pacific Visualization Symposium (PacificVis) Pub Date : 2010-03-02 DOI: 10.1109/PACIFICVIS.2010.5429606

C. Hsu, J. Ahrens, K. Heitmann

引用次数: 9

Seismic volume visualization for horizon extraction 用于层位提取的地震体可视化

2010 IEEE Pacific Visualization Symposium (PacificVis) Pub Date : 2010-03-02 DOI: 10.1109/PACIFICVIS.2010.5429605

Daniel Patel, S. Bruckner, I. Viola, E. Gröller

引用次数: 42

CycleStack: Inferring periodic behavior via temporal sequence visualization in ultrasound video CycleStack:通过超声视频的时间序列可视化来推断周期行为

2010 IEEE Pacific Visualization Symposium (PacificVis) Pub Date : 2010-03-02 DOI: 10.1109/PACIFICVIS.2010.5429602

Teng-Yok Lee, Abon Chaudhuri, F. Porikli, Han-Wei Shen

{"title":"CycleStack: Inferring periodic behavior via temporal sequence visualization in ultrasound video","authors":"Teng-Yok Lee, Abon Chaudhuri, F. Porikli, Han-Wei Shen","doi":"10.1109/PACIFICVIS.2010.5429602","DOIUrl":"https://doi.org/10.1109/PACIFICVIS.2010.5429602","url":null,"abstract":"A range of well-known treatment methods for destroying tumor and similar harmful growth in human body utilizes the coherence between the inherently periodic movement of the affected body part and periodic respiratory signal of the patient, with the objective of minimizing damage to surrounding normal tissues. Such methods require constant monitoring by an operator who observes the 3D body motion via its 2D projection onto an ultrasound imaging plane and studies the synchronism of this motion with the respiratory signal. Keeping an attentive eye on the respiratory signal as well as the ultrasound video for the entire treatment period is often inconvenient and burdensome. In this paper, we propose a video visualization technique called CycleStack Plot which reduces this cognitive overhead by blending the video and the signal together in a stack-like layout. This visualization reveals the inherent synchronism between the target's movement and the respiratory signal, visually highlights significant phase shifts of either of the two cyclic phenomena, with the hope of arresting the operator's attention. Our proposed visualization also provides a visual overview for the post-treatment analysis which enables educated users to quickly and effectively skim through the excessively long process. This paper demonstrates the utility of CycleStack Plot with a case study using real ultrasound videos. In addition, a user study has been performed to evaluate the merits and limitations of the proposed method with respect to the conventional way of watching a video and a signal side-by-side. Even though the motivation of the proposed visualization is improvement of medical applications that use ultrasound, the core techniques discussed here have potential to be extended to other application domains requiring analysis of cyclic patterns from videos.","PeriodicalId":149295,"journal":{"name":"2010 IEEE Pacific Visualization Symposium (PacificVis)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128685114","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: 8

Visual analysis of high dimensional point clouds using topological landscapes 利用拓扑景观对高维点云进行可视化分析

2010 IEEE Pacific Visualization Symposium (PacificVis) Pub Date : 2010-03-02 DOI: 10.1109/PACIFICVIS.2010.5429601

P. Oesterling, Christian Heine, H. Leitte, G. Scheuermann

{"title":"Visual analysis of high dimensional point clouds using topological landscapes","authors":"P. Oesterling, Christian Heine, H. Leitte, G. Scheuermann","doi":"10.1109/PACIFICVIS.2010.5429601","DOIUrl":"https://doi.org/10.1109/PACIFICVIS.2010.5429601","url":null,"abstract":"In this paper, we present a novel three-stage process to visualize the structure of point clouds in arbitrary dimensions. To get insight into the structure and complexity of a data set, we would most preferably just look into it, e.g. by plotting its corresponding point cloud. Unfortunately, for orthogonal scatter plots, this only works up to three dimensions, and other visualizations, like parallel coordinates or scatterplot matrices, also have problems handling many dimensions and visual overlap of data entities. The presented solution tackles the problem of visualizing point clouds indirectly by visualizing the topology of their density distribution. The benefit of this approach is that this topology can be computed in arbitrary dimensions. Similar to examining scatter plots, this gives the important information like the number, size and nesting structure of accumulated regions. We view our approach as an alternative to cluster visualization. To create the visualization, we first estimate the density function using a novel high-dimensional interpolation scheme. Second, we compute that function's topology by means of the join tree, generate a corresponding 3-D terrain using the topological landscape metaphor introduced by Weber et al. (2007), and finally augment that landscape by placing the original data points at suitable locations.","PeriodicalId":149295,"journal":{"name":"2010 IEEE Pacific Visualization Symposium (PacificVis)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133658706","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: 31