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research-article

Multiperspective Focus+Context Visualization

Authors:

Voicu PopescuAuthors Info & Claims

IEEE Transactions on Visualization and Computer Graphics, Volume 22, Issue 5

Pages 1555 - 1567

https://doi.org/10.1109/TVCG.2015.2443804

Published: 01 May 2016 Publication History

Abstract

Occlusions are a severe bottleneck for the visualization of large and complex datasets. Conventional images only show dataset elements to which there is a direct line of sight, which significantly limits the information bandwidth of the visualization. Multiperspective visualization is a powerful approach for alleviating occlusions to show more than what is visible from a single viewpoint. However, constructing and rendering multiperspective visualizations is challenging. We present a framework for designing multiperspective focus+context visualizations with great flexibility by manipulating the underlying camera model. The focus region viewpoint is adapted to alleviate occlusions. The framework supports multiperspective visualization in three scenarios. In a first scenario, the viewpoint is altered independently for individual image regions to avoid occlusions. In a second scenario, conventional input images are connected into a multiperspective image. In a third scenario, one or several data subsets of interest (i.e., targets) are visualized where they would be seen in the absence of occluders, as the user navigates or the targets move. The multiperspective images are rendered at interactive rates, leveraging the camera model's fast projection operation. We demonstrate the framework on terrain, urban, and molecular biology geometric datasets, as well as on volume rendered density datasets.

References

[1]

A. Agarwala, M. Agrawala, M. Cohen, D. Salesin, and R. Szeliski, “Photographing long scenes with multi-viewpoint panoramas,” ACM Trans. Graph., vol. 25, no. 3, pp. 853–861, 2006.

Digital Library

[2]

M. Agrawala, D. Zorin, and T. Munzner, “Artistic multiprojection rendering,” in Proc. Eurograph. Workshop Rendering Techn., 2000, pp. 125–136.

[3]

H. M. Berman, J. Westbrook, Z. Feng, G. Gilliland, T. N. Bhat, H. Weissig, I. N. Shindyalov, and P. E. Bourne, “The protein data bank,” Nucleic Acids Res., vol. 28, no. 1, pp. 235–242, 2000.

[4]

S. Bruckner and M. E. Groller, “Exploded view for volume data,” IEEE Trans. Vis. Comput. Graph. , vol. 12, no. 5, pp. 1077–1084, Sep./Oct. 2006.

Digital Library

[5]

M. Burns and A. Finkelstein, “Adaptive cutaways for comprehensible rendering of polygonal scenes,” ACM Trans. Graph., vol. 27, no. 5, p. Article 154, 2008.

[6]

C. D. Correa and D. Silver, “Programmable shaders for deformation rendering,” in Proc. 22nd ACM SIGGRAPH\EUROGRAPHICS Symp. Graph. Hardware, 2007, pp. 89–96 .

Digital Library

[7]

C. D. Correa, D. Silver, and M. Chen, “Illustrative deformation for data exploration,” IEEE Trans. Vis. Comput. Graph., vol. 13, no. 6, pp. 1320–1327, Nov./Dec. 2007.

Digital Library

[8]

J. Cui, P. Rosen, V. Popescu, and C. Hoffmann, “A curved ray camera for handling occlusions through continuous multiperspective visualization,” IEEE Trans. Vis. Comput. Graph. , vol. 16, no. 6, pp. 1235–1242, Nov./Dec. 2010.

Digital Library

[9]

P. Degener and R. Klein, “A variational approach for automatic generation of panoramic maps,” ACM Trans. Graph., vol. 28, no. 1, p. Article 2, 2009.

[10]

P. Degener, R. Schnabel, C. Schwartz, and R. Klein, “Effective visualization of short routes,” IEEE Trans. Vis. Comput. Graph., vol. 14, no. 6, pp. 1452–1458, Nov./Dec. 2008.

Digital Library

[11]

N. Elmqvist and P. Tsigas, “A taxonomy of 3D occlusion management for visualization,” IEEE Trans. Vis. Comput. Graph., vol. 14, no. 5, pp. 1095– 1109, Sep./Oct. 2008.

Digital Library

[12]

M. Falk, T. Schafhitzel, D. Weiskopf, and T. Ertl, “Panorama maps with non-linear ray tracing,” in Proc. Int. Conf. Comput. Graph. Interactive Techn. Australia Southeast Asia, 2007, pp. 9–16.

Digital Library

[13]

E. Groller, “Nonlinear ray tracing: Visualizing strange worlds,” Vis. Comput., vol. 11, no. 5, pp. 263– 274, 1995.

[14]

M. Hadwiger, P. Ljung, C. R. Salama, and T. Ropinski, “Advanced illumination techniques for GPU volume raycasting,” in Proc. SIGGRAPH ASIA Courses, 2008, p. 1.

[15]

R. J. C. Hilf, C. Bertozzi, I. Zimmermann, A. Reiter, D. Trauner, and R. Dutzler, “Structural basis of open channel block in a prokaryotic pentameric ligand-gated ion channel,” Nat. Struct. Mol. Biol., vol. 17, pp. 1330 –1336, 2010.

[16]

H. Jenny, B. Jenny, W. E. Cartwright, and L. Hurni, “Interactive local terrain deformation inspired by hand-painted panoramas,” The Cartographic J., vol. 48, no. 1, pp. 11–20, 2013.

[17]

J. Kruger, J. Schneider, and R Westermann, “ ClearView: An interactive context preserving hotspot visualization technique,” IEEE Trans. Vis. Comput. Graph., vol. 12, no. 5, pp. 941– 947, Sep./Oct. 2006.

Digital Library

[18]

Y. Kurzion and R. Yagel, “Space deformation using ray deflectors,” in Proc. Eurographics Workshop Rendering, 1995, pp. 21–32.

[19]

Y. Kurzion and R. Yagel, “Interactive space deformation with hardware-assisted rendering,” IEEE Comput. Graph. Appl., vol. 17, no. 5, pp. 66– 77, Sep./Oct. 1997.

Digital Library

[20]

W. Li, M. Agrawala, B. Curless, and D. Salesin, “Automated generation of interactive 3D exploded view diagrams,” ACM Trans. Graph., vol. 27, no. 3, pp. 1–7, 2008.

Digital Library

[21]

W. R. Mark, R. S. Glanville, K. Akeley, and M. J. Kilgard, “Cg: A system for programming graphics hardware in a C-like language,” ACM Trans. Graph., vol. 22, no. 3, pp. 896–907, 2003.

Digital Library

[22]

C. Mei, V. Popescu, and E. Sacks, “The occlusion camera,” Comput. Graph. Forum, vol. 24, no. 3, pp. 335–342, 2005.

[23]

S. Möser, P. Degener, R. Wahl, and R. Klein, “Context aware terrain visualization for wayfinding and navigation,” Comput. Graph. Forum, vol. 27, pp. 1853–1860, 2008.

[24]

V. Popescu, C. Mei, J. Dauble, and E. Sacks, “An efficient error-bounded general camera model,” in Proc. Int. Symp. Data Process., Vis., Transmiss., 2006, pp. 121–128.

[25]

V. Popescu, P. Rosen, and N. Adamo-Villani, “The graph camera,” ACM Trans. Graph., vol. 28, no. 5, p. Article 158, 2009.

[26]

P. Rademacher and G. Bishop, “Multiple-center-of-projection images,” in Proc. 25th Annu. Conf. Comput. Graph. Interactive Techn., 1998, pp. 199–206.

Digital Library

[27]

R. Reijerse. Roel z'n Boel. [Online]. Available: http:\\reije081.home.xs4all.nl\skyboxes\, 2006.

[28]

A. Román, G. Garg, and M. Levoy, “Interactive design of multi-perspective images for visualizing urban landscapes,” in Proc. Conf. Vis., 2004, pp. 537–544.

[29]

P. Rosen and V. Popescu, “An evaluation of 3-D scene exploration using a multiperspective image framework,” Vis. Comput., vol. 27, nos. 6–8, pp. 623 –632, 2011.

Digital Library

[30]

S. Takahashi, K. Yoshida, K. Shimada, and T. Nishita, “Occlusion-free animation of driving routes for car navigation systems,” IEEE Trans. Vis. Comput. Graph., vol. 12, no. 5, pp. 1141–1148, Sep./Oct. 2006.

Digital Library

[31]

D. Weiskopf, T. Schafhitzel, and T. Ertl, “ GPU-based nonlinear ray tracing,” Comput. Graph. Forum, vol. 23, no. 3, pp. 625–633, 2004.

[32]

N. Wong, M.S.T. Carpendale, and S. Greenberg, “ EdgeLens: An interactive method for managing edge congestion in graphs,” in Proc. 9th IEEE Symp. Inf. Vis., 2003, pp. 51–58.

[33]

D. N. Wood, A. Finkelstein, J. F. Hughes, C. E. Thayer, and D. H. Salesin, “Multiperspective panoramas for cel animation,” in Proc. Annu. Conf. Comput. Graph. Interactive Techn., 1997, pp. 243 –250.

[34]

J. Yu and L. McMillan, “ General linear cameras,” in Proc. Eur. Conf. Comput. Vis., 2004, vol. 2, pp. 14–27.

[35]

J. Yu and L. McMillan, “ A framework for multiperspective rendering,” in Proc. Eurograph. Conf. Rendering Techn., 2004, pp. 61–68.

[36]

Video accompanying this paper is [Online]. Available: https:\\www.cs.purdue.edu\cgvlab\popescu\mpr\, 2015.

Cited By

Walch ASzabo ASteinlechner HOrtner TGröller ESchmidt J(2024)BEMTrace: Visualization-Driven Approach for Deriving Building Energy Models from BIMIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.345631531:1(240-250)Online publication date: 23-Sep-2024
https://dl.acm.org/doi/10.1109/TVCG.2024.3456315
Radwan MOhrhallinger SWimmer M(2021)Fast occlusion-based point cloud explorationThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-021-02243-x37:9-11(2769-2781)Online publication date: 1-Sep-2021
https://dl.acm.org/doi/10.1007/s00371-021-02243-x
Ortega MFurió D(2020)Exploring 3D Objects with Non-Linear Perspectives in Real-Time, a First User Study22nd International Conference on Human-Computer Interaction with Mobile Devices and Services10.1145/3379503.3403533(1-7)Online publication date: 5-Oct-2020
https://dl.acm.org/doi/10.1145/3379503.3403533
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Index Terms

Multiperspective Focus+Context Visualization
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
  2. Computer graphics
2. Human-centered computing
  1. Human computer interaction (HCI)

Index terms have been assigned to the content through auto-classification.

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cover image IEEE Transactions on Visualization and Computer Graphics

IEEE Transactions on Visualization and Computer Graphics Volume 22, Issue 5

May 2016

146 pages

ISSN:1077-2626

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Copyright © 2015.

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IEEE Educational Activities Department

United States

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Published: 01 May 2016

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Cited By

Walch ASzabo ASteinlechner HOrtner TGröller ESchmidt J(2024)BEMTrace: Visualization-Driven Approach for Deriving Building Energy Models from BIMIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.345631531:1(240-250)Online publication date: 23-Sep-2024
https://dl.acm.org/doi/10.1109/TVCG.2024.3456315
Radwan MOhrhallinger SWimmer M(2021)Fast occlusion-based point cloud explorationThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-021-02243-x37:9-11(2769-2781)Online publication date: 1-Sep-2021
https://dl.acm.org/doi/10.1007/s00371-021-02243-x
Ortega MFurió D(2020)Exploring 3D Objects with Non-Linear Perspectives in Real-Time, a First User Study22nd International Conference on Human-Computer Interaction with Mobile Devices and Services10.1145/3379503.3403533(1-7)Online publication date: 5-Oct-2020
https://dl.acm.org/doi/10.1145/3379503.3403533
Okuya TSakai S(2019)Reproduction of Perspective in Cel Animation 2D Composition for Real-Time 3D RenderingProceedings of the 16th ACM SIGGRAPH European Conference on Visual Media Production10.1145/3359998.3369409(1-10)Online publication date: 17-Dec-2019
https://dl.acm.org/doi/10.1145/3359998.3369409
Zhang HFrey SSteeb HUribe DErtl TWang W(2018)Visualization of Bubble Formation in Porous MediaIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2018.286450625:1(1060-1069)Online publication date: 7-Dec-2018
https://dl.acm.org/doi/10.1109/TVCG.2018.2864506

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