Verfügbarkeit: Image-based visualization | Technische Universität München

Image-based visualization: interactive multidimensional data exploration

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Bibliographische Detailangaben
Beteilige Person:	Hurter, Christophe (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	[San Rafael, California] Morgan & Claypool Publishers [2015]
Schriftenreihe:	Synthesis lectures on visualization #4
Schlagwörter:	Visualisierung Mensch-Maschine-Kommunikation
Links:	https://doi.org/10.2200/S00688ED1V01Y201512VIS006 http://ieeexplore.ieee.org/servlet/opac?bknumber=7374859 https://doi.org/10.2200/S00688ED1V01Y201512VIS006 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029679235&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Umfang:	1 Online-Ressource (xvii, 111 Seiten) Illustrationen, Diagramme
DOI:	10.2200/S00688ED1V01Y201512VIS006

Internformat

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Datensatz im Suchindex

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adam_text	Titel: Image-based visualization Autor: Hurter, Christophe Jahr: 2015 Contents Introduction........................................................ 1 1.1 Image-based Visualization ........................................ 1 1.1.1 Definition .............................................. 3 1.2 Image-based Algorithm Opportunities .............................. 3 1.3 The Information Visualization Pipeline and Its Extension ............... 4 1.4 GPGPU Usages to Address Scalability Issues ......................... 5 1.4.1 GP/GPU Technique and History............................ 5 1.4.2 Image-based and the Graphic Card .......................... 6 1.5 Data Types .................................................... 8 1.5.1 Time-Dependent Data .................................... 8 1.5.2 Movement Data ......................................... 9 1.5.3 Graph Data............................................. 9 1.6 Book Roadmap ................................................ 9 Motivating Example................................................. 11 2.1 Visualization Evaluation ........................................ 11 2.2 Application Domain ........................................... 12 2.2.1 Instance of Design Evaluation: The Radar Comet .............. 13 2.3 The Card and Mackinlay Model Irnprovements ...................... 15 2.4 Characterization or Data Exploration Tool .......................... 17 2.5 FromDaDy: From Data to Display ................................ 19 2.6 Conclusion ................................................... 21 Data Density Maps................................................. 23 3.1 Kernel Density Estimation: An Image-based Technique ............... 24 3.1.1 GPU Implementation .................................... 25 3.2 Interaction Techniques.......................................... 26 3.2.1 Brushing Technique ..................................... 26 3.2.2 Brushing Technique with Density Maps ..................... 27 3.2.3 Brushing Technique with 3D Volumes....................... 29 3.2.4 Interactive Lighting Direction ............................. 30 3.2.5 Density Maps as Data Sources ............................. 31 3.3 Application Domains ........................................... 33 3.3.1 Pattern Detection ....................................... 33 3.3.2 Exploration of Aircraft Proximity........................... 35 3.3.3 Exploration of Gaze Recording ............................ 36 3.4 Conclusion ................................................... 37 Edge Bundling..................................................... 39 4.1 SBEB: Skeleton-based Edge Bundling ............................. 40 4.2 KDEEB: Kernel Density Edge Bundling ........................... 42 4.3 Dynamic KDEEB ............................................. 43 4.4 3D DKEEB .................................................. 44 4.5 Directional KDEEB ........................................... 45 4.6 Edge Bundling Generalization ................................... 48 4.7 Density Compatibiiity .......................................... 49 4.8 Proposal to Improve Bundling Techniques .......................... 51 4.9 Conclusion ................................................... 53 Animation with Large Datasets........................................ 55 5.1 Animation between Dual Frames ................................. 55 5.1.1 Rotation to Support Dual Scatterplot Layout ................. 56 5.1.2 Animation between an Image and its Histogram ............... 56 5.1.3 Interpolation between Two Views with Large Dataset .......... 58 5.1.4 The Animation as a Tool to Detect Outliers .................. 61 5.2 Animated Particles ............................................. 64 5.2.1 Particle System Requirements ............................. 68 5.3 Distortions ................................................... 69 5.3.1 2D Lens Distortion ..................................... 69 5.3.2 3D Lens Distortion ..................................... 71 5.3.3 Bundled Distortion ...................................... 74 5.3.4 Obstacle Avoidance ..................................... 75 5.3.5 Casual Info Vis: Free Distortion, Transmogrification ............ 76 5.4 Conclusion ................................................... 77 Research Outlook and Vision......................................... 79 6.1 Graphic Cards and Raster Map ................................... 79 6.1.1 The Physics of Light is a Rendering Process with Modern Graphic Cards.......................................... 79 6.1.2 Data Exploration and Manipulation with Image-based Techniques ............................................ 80 6.1.3 Raster Data Inaccuracy ................................... 81 6.2 Future Challenges ............................................. 82 6.2.1 Edge Bundimg ......................................... 83 6.2.2 Distortion: Point Cloud Display............................ 87 6.3 Image-based Algorithm in Application Domains ..................... 88 6.3.1 Eye Tracking ........................................... 89 6.3.2 Image Processing: Skin Cancer Investigation .................. 91 6.3.3 Cognitive Maps and Alzheimer Disease ..................... 92 6.4 Conclusion ................................................... 93 Bibliography....................................................... 97 Author Biography...................................................111
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physical	1 Online-Ressource (xvii, 111 Seiten) Illustrationen, Diagramme
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series	Synthesis lectures on visualization
series2	Synthesis lectures on visualization
spellingShingle	Hurter, Christophe Image-based visualization interactive multidimensional data exploration Synthesis lectures on visualization Visualisierung (DE-588)4188417-6 gnd Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd
subject_GND	(DE-588)4188417-6 (DE-588)4125909-9
title	Image-based visualization interactive multidimensional data exploration
title_auth	Image-based visualization interactive multidimensional data exploration
title_exact_search	Image-based visualization interactive multidimensional data exploration
title_full	Image-based visualization interactive multidimensional data exploration Christophe Hurter
title_fullStr	Image-based visualization interactive multidimensional data exploration Christophe Hurter
title_full_unstemmed	Image-based visualization interactive multidimensional data exploration Christophe Hurter
title_short	Image-based visualization
title_sort	image based visualization interactive multidimensional data exploration
title_sub	interactive multidimensional data exploration
topic	Visualisierung (DE-588)4188417-6 gnd Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd
topic_facet	Visualisierung Mensch-Maschine-Kommunikation
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