Visualization and data analysis最新文献_第9页

Interactive data-centric viewpoint selection 交互式以数据为中心的视点选择

Visualization and data analysis Pub Date : 2012-01-22 DOI: 10.1117/12.907480

Han Suk Kim, D. Unat, S. Baden, J. Schulze

{"title":"Interactive data-centric viewpoint selection","authors":"Han Suk Kim, D. Unat, S. Baden, J. Schulze","doi":"10.1117/12.907480","DOIUrl":"https://doi.org/10.1117/12.907480","url":null,"abstract":"We propose a new algorithm for automatic viewpoint selection for volume data sets. While most previous algorithms \u0000depend on information theoretic frameworks, our algorithm solely focuses on the data itself without off-line rendering \u0000steps, and finds a view direction which shows the data set's features well. The algorithm consists of two main steps: \u0000feature selection and viewpoint selection. The feature selection step is an extension of the 2D Harris interest point detection \u0000algorithm. This step selects corner and/or high-intensity points as features, which captures the overall structures and local \u0000details. The second step, viewpoint selection, takes this set and finds a direction that lays out those points in a way \u0000that the variance of projected points is maximized, which can be formulated as a Principal Component Analysis (PCA) \u0000problem. The PCA solution guarantees that surfaces with detected corner points are less likely to be degenerative, and it \u0000minimizes occlusion between them. Our entire algorithm takes less than a second, which allows it to be integrated into \u0000real-time volume rendering applications where users can modify the volume with transfer functions, because the optimized \u0000viewpoint depends on the transfer function.","PeriodicalId":89305,"journal":{"name":"Visualization and data analysis","volume":"27 1","pages":"829405"},"PeriodicalIF":0.0,"publicationDate":"2012-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77230313","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: 3

Motion visualization in large particle simulations 大粒子模拟中的运动可视化

Visualization and data analysis Pub Date : 2012-01-22 DOI: 10.1117/12.904668

Roland Fraedrich, R. Westermann

{"title":"Motion visualization in large particle simulations","authors":"Roland Fraedrich, R. Westermann","doi":"10.1117/12.904668","DOIUrl":"https://doi.org/10.1117/12.904668","url":null,"abstract":"Interactive visualization of large particle sets is required to analyze the complicated structures and formation \u0000processes in astrophysical particle simulations. While some research has been done on the development of \u0000visualization techniques for steady particle fields, only very few approaches have been proposed to interactively \u0000visualize large time-varying fields and their dynamics. Particle trajectories are known to visualize dynamic \u0000processes over time, but due to occlusion and visual cluttering such techniques have only been reported for very \u0000small particle sets so far. In this paper we present a novel technique to solve these problems, and we demonstrate \u0000the potential of our approach for the visual exploration of large astrophysical particle sequences. We present a \u0000new hierarchical space-time data structure for particle sets which allows for a scale-space analysis of trajectories \u0000in the simulated fields. In combination with visualization techniques that adapt to the respective scales, clusters \u0000of particles with homogeneous motion as well as separation and merging regions can be identified effectively. The \u0000additional use of mapping functions to modulate the color and size of trajectories allows emphasizing various \u0000particle properties like direction, speed, or particle-specific attributes like temperature. Furthermore, tracking \u0000of interactively selected particle subsets permits the user to focus on structures of interest.","PeriodicalId":89305,"journal":{"name":"Visualization and data analysis","volume":"107 1","pages":"82940Q"},"PeriodicalIF":0.0,"publicationDate":"2012-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90063065","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

Visualizing uncertainty in biological expression data 可视化生物表达数据的不确定性

Visualization and data analysis Pub Date : 2012-01-22 DOI: 10.1117/12.908516

C. Holzhüter, A. Lex, D. Schmalstieg, Hans-Jörg Schulz, H. Schumann, M. Streit

{"title":"Visualizing uncertainty in biological expression data","authors":"C. Holzhüter, A. Lex, D. Schmalstieg, Hans-Jörg Schulz, H. Schumann, M. Streit","doi":"10.1117/12.908516","DOIUrl":"https://doi.org/10.1117/12.908516","url":null,"abstract":"Expression analysis of ~omics data using microarrays has become a standard procedure in the life sciences. \u0000However, microarrays are subject to technical limitations and errors, which render the data gathered likely to \u0000be uncertain. While a number of approaches exist to target this uncertainty statistically, it is hardly ever even \u0000shown when the data is visualized using for example clustered heatmaps. Yet, this is highly useful when trying \u0000not to omit data that is \"good enough\" for an analysis, which otherwise would be discarded as too unreliable \u0000by established conservative thresholds. Our approach addresses this shortcoming by first identifying the margin \u0000above the error threshold of uncertain, yet possibly still useful data. It then displays this uncertain data in \u0000the context of the valid data by enhancing a clustered heatmap. We employ different visual representations for \u0000the different kinds of uncertainty involved. Finally, it lets the user interactively adjust the thresholds, giving \u0000visual feedback in the heatmap representation, so that an informed choice on which thresholds to use can be \u0000made instead of applying the usual rule-of-thumb cut-offs. We exemplify the usefulness of our concept by giving \u0000details for a concrete use case from our partners at the Medical University of Graz, thereby demonstrating our \u0000implementation of the general approach.","PeriodicalId":89305,"journal":{"name":"Visualization and data analysis","volume":"36 1","pages":"82940O"},"PeriodicalIF":0.0,"publicationDate":"2012-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80724901","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

Degeneracy-aware interpolation of 3D diffusion tensor fields 三维扩散张量场的退化感知插值

Visualization and data analysis Pub Date : 2012-01-22 DOI: 10.1117/12.908117

Chongke Bi, Shigeo Takahashi, I. Fujishiro

{"title":"Degeneracy-aware interpolation of 3D diffusion tensor fields","authors":"Chongke Bi, Shigeo Takahashi, I. Fujishiro","doi":"10.1117/12.908117","DOIUrl":"https://doi.org/10.1117/12.908117","url":null,"abstract":"Visual analysis of 3D diffusion tensor fields has become an important topic especially in medical imaging for understanding \u0000microscopic structures and physical properties of biological tissues. However, it is still difficult to continuously track the \u0000underlying features from discrete tensor samples, due to the absence of appropriate interpolation schemes in the sense \u0000that we are able to handle possible degeneracy while fully respecting the smooth transition of tensor anisotropic features. \u0000This is because the degeneracy may cause rotational inconsistency of tensor anisotropy. This paper presents such an \u0000approach to interpolating 3D diffusion tensor fields. The primary idea behind our approach is to resolve the possible \u0000degeneracy through optimizing the rotational transformation between a pair of neighboring tensors by analyzing their \u0000associated eigenstructure, while the degeneracy can be identified by applying a minimum spanning tree-based clustering \u0000algorithm to the original tensor samples. Comparisons with existing interpolation schemes will be provided to demonstrate \u0000the advantages of our scheme, together with several results of tracking white matter fiber bundles in a human brain.","PeriodicalId":89305,"journal":{"name":"Visualization and data analysis","volume":"8 1","pages":"829411"},"PeriodicalIF":0.0,"publicationDate":"2012-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80929124","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

Image space adaptive volume rendering 图像空间自适应体绘制

Visualization and data analysis Pub Date : 2012-01-22 DOI: 10.1117/12.906658

Andrew Corcoran, J. Dingliana

引用次数: 0

X3DBio1: a visual analysis tool for biomolecular structure exploration X3DBio1:生物分子结构可视化分析工具

Visualization and data analysis Pub Date : 2012-01-22 DOI: 10.1117/12.906893

Hong Yi, Abhishek Singh, Yaroslava G. Yingling

引用次数: 1

Exploiting major trends in subject hierarchies for large-scale collection visualization 利用主题层次结构的主要趋势进行大规模集合可视化

Visualization and data analysis Pub Date : 2012-01-22 DOI: 10.1117/12.912284

C. Julien, Pierre Tirilly, J. Leide, C. Guastavino

引用次数: 6

Evaluation of multivariate visualizations: a case study of refinements and user experience 多变量可视化的评估:改进和用户体验的案例研究

Visualization and data analysis Pub Date : 2012-01-22 DOI: 10.1117/12.912192

M. Livingston, Jonathan W. Decker

{"title":"Evaluation of multivariate visualizations: a case study of refinements and user experience","authors":"M. Livingston, Jonathan W. Decker","doi":"10.1117/12.912192","DOIUrl":"https://doi.org/10.1117/12.912192","url":null,"abstract":"Multivariate visualization (MVV) aims to provide insight into complex data sets with many variables. The analyst's goal \u0000may be to understand how one variable interacts with another, to identify potential correlations between variables, or to \u0000understand patterns of a variable's behavior over the domain. Summary statistics and spatially abstracted plots of \u0000statistical measures or analyses are unlikely to yield insights into spatial patterns. Thus we focus our efforts on MVVs, \u0000which we hope will express key properties of the data within the original data domain. Further narrowing the problem \u0000space, we consider how these techniques may be applied to continuous data variables. \u0000One difficulty of MVVs is that the number of perceptual channels may be exceeded. We embarked on a series of \u0000evaluations of MVVs in an effort to understand the limitations of attributes that are used in MVVs. In a follow-up study \u0000to previously published results, we attempted to use our past results to inform refinements to the design of the MVVs \u0000and the study itself. Some changes improved performance, whereas others degraded performance. We report results \u0000from the follow-up study and a comparison of data collected from subjects who participated in both studies. On the \u0000positive end, we saw improved performance with Attribute Blocks, a MVV newly introduced to our on-going evaluation, \u0000relative to Dimensional Stacking, a technique we were examining previously. On the other hand, our refinement to \u0000Data-driven Spots resulted in greater errors on the task. Users' previous exposure to the MVVs enabled them to \u0000complete the task significantly faster (but not more accurately). Previous exposure also yielded lower ratings of \u0000subjective workload. We discuss these intuitive and counter-intuitive results and the implications for MVV design.","PeriodicalId":89305,"journal":{"name":"Visualization and data analysis","volume":"2 1","pages":"82940G"},"PeriodicalIF":0.0,"publicationDate":"2012-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82082880","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: 7

Instant visitation maps for interactive visualization of uncertain particle trajectories 用于不确定粒子轨迹交互式可视化的即时访问地图

Visualization and data analysis Pub Date : 2012-01-22 DOI: 10.1117/12.906872

K. Bürger, Roland Fraedrich, D. Merhof, R. Westermann

{"title":"Instant visitation maps for interactive visualization of uncertain particle trajectories","authors":"K. Bürger, Roland Fraedrich, D. Merhof, R. Westermann","doi":"10.1117/12.906872","DOIUrl":"https://doi.org/10.1117/12.906872","url":null,"abstract":"Visitation maps are an effective means to analyze the frequency of similar occurrences in large sets of uncertain particle \u0000trajectories. A visitation map counts for every cell the number of trajectories passing through this cell, and it can then \u0000be used to visualize pathways of a certain visitation percentage. In this paper, we introduce an interactive method for the \u0000construction and visualization of high-resolution 3D visitation maps for large numbers of trajectories. To achieve this we \u0000employ functionality on recent GPUs to efficiently voxelize particle trajectories into a 3D texture map. In this map we \u0000visualize envelopes enclosing particle pathways that are followed by a certain percentage of particles using direct volume \u0000rendering techniques. By combining visitation map construction with GPU-based Monte-Carlo particle tracing we can \u0000even demonstrate the instant construction of a visitation map from a given vector field. To facilitate the visualization of \u0000safety regions around possible trajectories, we further generate Euclidean distance transform volumes to these trajectories \u0000on the fly. We demonstrate the application of our approach for visualizing the variation of stream lines in 3D flows due \u0000to different numerical integration schemes or errors introduced through data transformation operations, as well as for \u0000visualizing envelopes of probabilistic fiber bundles in DTI tractography.","PeriodicalId":89305,"journal":{"name":"Visualization and data analysis","volume":"69 1","pages":"82940P"},"PeriodicalIF":0.0,"publicationDate":"2012-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80368703","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: 15

Visualization feedback for musical ensemble practice: a case study on phrase articulation and dynamics 音乐合奏练习的视觉回馈:以乐句发音与动态为例

Visualization and data analysis Pub Date : 2012-01-22 DOI: 10.1117/12.912406

Trevor Knight, Nicolas Boulliot, J. Cooperstock

{"title":"Visualization feedback for musical ensemble practice: a case study on phrase articulation and dynamics","authors":"Trevor Knight, Nicolas Boulliot, J. Cooperstock","doi":"10.1117/12.912406","DOIUrl":"https://doi.org/10.1117/12.912406","url":null,"abstract":"We consider the possible advantages of visualization in supporting musical interpretation. Specifically, we investigate \u0000the use of visualizations in making a subjective judgement of a student's performance compared to \u0000reference \"expert\" performance for particular aspects of musical performance-articulation and dynamics. Our \u0000assessment criteria for the effectiveness of the feedback are based on the consistency of judgements made by \u0000the participants using each modality, that is to say, in determining how well the student musician matches the \u0000reference musician, the time taken to evaluate each pair of samples, and subjective opinion of perceived utility \u0000of the feedback. \u0000For articulation, differences in the mean scores assigned by the participants to the reference versus the student \u0000performance were not statistically significant for each modality. This suggests that while the visualization \u0000strategy did not offer any advantage over presentation of the samples by audio playback alone, visualization \u0000nevertheless provided sufficient information to make similar ratings. For dynamics, four of our six participants \u0000categorized the visualizations as helpful. The means of their ratings for the visualization-only and both-together \u0000conditions were not statistically different but were statistically different from the audio-only treatment, indicating \u0000a dominance of the visualizations when presented together with audio. Moreover, the ratings of dynamics under \u0000the visualization-only condition were significantly more consistent than the other conditions.","PeriodicalId":89305,"journal":{"name":"Visualization and data analysis","volume":"139 1","pages":"82940A"},"PeriodicalIF":0.0,"publicationDate":"2012-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79364202","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