Abstract | ||
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We present the conformal magnifier, a novel interactive focus+context visualization technique that magnifies a region of interest (ROI) using conformal mapping. Our framework provides various magnifier shapes for the user to enlarge the ROI while globally deforming the context region without any cropping. By using the mathematical well-defined conformal mapping theory and algorithm, the ROI is magnified with local shape preservation, while the transition region between the focus and context regions is deformed smoothly and continuously. After the selection of a specified magnifier shape, our system can automatically magnify the ROI in real time even for large volumetric datasets. These properties are very important for many visualization applications, especially for computer aided detection and diagnosis. Our framework is application-independent and is suitable for diverse applications, such as information visualization, medical imaging, time-series data and 3D volumetric visualization. Various experimental results and a carefully designed user study demonstrate the effectiveness, robustness and efficiency of our method. |
Year | DOI | Venue |
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2012 | 10.1109/TVCG.2012.70 | IEEE Trans. Vis. Comput. Graph. |
Keywords | Field | DocType |
cad,mathematically well-defined conformal mapping theory,computer aided diagnosis,roi,map visualization,computer aided detection,context region,arbitrary shape magnifiers design,context visualization technique,conformal mapping,data visualisation,large volumetric data sets,deformation,context technique,specified magnifier shape,volumetric visualization,conformal magnifier,smooth deformation,arbitrary shape design,interactive focus-context visualization technique,focus+contex visualization,magnifier shape,visualization application,region of interest,local shape preservation,lenses,measurement,shape,mathematical model | CAD,Computer vision,Data visualization,Computer graphics (images),Visualization,Computer science,Computer-aided diagnosis,Conformal map,Robustness (computer science),Lens (optics),Artificial intelligence,Region of interest | Journal |
Volume | Issue | ISSN |
18 | 11 | 1941-0506 |
Citations | PageRank | References |
15 | 0.60 | 30 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xin Zhao | 1 | 63 | 4.38 |
Wei Zeng | 2 | 75 | 3.80 |
Xianfeng Gu | 3 | 2997 | 189.71 |
Arie Kaufman | 4 | 4154 | 453.50 |
Wei Xu | 5 | 238 | 14.59 |
Klaus Mueller | 6 | 1810 | 145.49 |