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Engaging viewers through nonphotorealistic visualizations

Published: 04 August 2007 Publication History

Abstract

Research in human visual cognition suggests that beautiful images can engage the visual system, encouraging it to linger in certain locations in an image and absorb subtle details. By developing aesthetically pleasing visualizations of data, we aim to engage viewers and promote prolonged inspection, which can lead to new discoveries within the data. We present three new visualization techniques that apply painterly rendering styles to vary interpretational complexity (IC), indication and detail (ID), and visual complexity (VC), image properties that are important to aesthetics. Knowledge of human visual perception and psychophysical models of aesthetics provide the theoretical basis for our designs. Computational geometry and nonphotorealistic algorithms are used to preprocess the data and render the visualizations. We demonstrate the techniques with visualizations of real weather and supernova data.

References

[1]
Baltissen, R., and Ostermann, B. 1998. Are the dimiensions underlying aesthetic and affective judgment the same? Empirical Studies of the Arts 16, 2, 97--113.
[2]
Barber, C., Dobkin, D., and Huhdanpaa, H. 1993. The quickhull algorithm for convex hull. Tech. Rep. TR GCG53, The Geometry Center, University of Minnesota, Minneapolis, MN.
[3]
Barber, C., Dobkin, D., and Huhdanpaa, H. 1996. The quickhull algorithm for convex hulls. ACM Trans. Math. Softw. 22, 4, 469--483.
[4]
Berlyne, D. 1971. Aesthetics and Psychobiology. Appleton-Century-Crofts, New York, NY.
[5]
Birkhoff, G. 1932. Aesthetic Measure. Harvard University Press, Cambridge, MA.
[6]
Brown, Kevin, Q. 1979. Voronoi diagrams from convex hulls. Information Processing Letters 9, 5, 223--228.
[7]
Davis, R. 1936. An evaluation and test of birkhoff's aesthetic measure and formula. Journal of General Psychology 15, 231--240.
[8]
Garland, M., and Heckbert, P. S. 1997. Surface simplification using quadric error metrics. In SIGGRAPH 97 Conference Proceedings, T. Whitted, Ed., 209--216.
[9]
Garland, M., and Heckbert, P. S. 1998. Simplifying surfaces with color and texture using quadric error metrics. In Proceedings Visualization '98, 263--269.
[10]
Garland, M. 1999. The Design, Use, and Required Facilities of an Interactive Visual Computer Simulation Language to Explore Production Planning Problems. Ph.D. thesis, Carnegie Mellon University, Pittsburg, PA.
[11]
Grigoryan, G., and Rheingans, P. 2002. Probabilistic surfaces: Point based primitives to show uncertainty. In Proceedings Visualization 2002, 147--153.
[12]
Haeberli, P. 1990. Paint by numbers: Abstract image representations. Computer Graphics (SIGGRAPH 90 Conference Proceedings) 24, 4, 207--214.
[13]
Healey, C. G., Tateosian, L., Enns, J. T., and Remple, M. 2004. Perceptually based brush strokes for nonphotorealistic visualization. ACM Trans. Graph. 23, 1, 64--96.
[14]
Hertzmann, A. 1998. Painterly rendering with curved brush strokes of multiple sizes. In SIGGRAPH 98 Conference Proceedings, M. Cohen, Ed., 453--460.
[15]
Hertzmann, A. 2002. Fast texture maps. In Proceedings NPAR 2002 Symposium on Non-Photorealistic Animation and Rendering, 91--96.
[16]
Holman, D., Vertegaal, R., Sohn, C., and Cheng, D. 2004. Attentive display: paintings as attentive user interfaces. In CHI '04: Extended abstracts of the 2004 conference on Human factors and computing systems, ACM Press, 1127--1130.
[17]
Hsu, S. C., and Lee, I. H. H. 1994. Drawing and animation using skeletal strokes. In SIGGRAPH 94 Conference Proceedings, A. Glassner, Ed., 109--118.
[18]
Kirby, R. M., Marmanis, H., and Laidlaw, D. H. 1999. Visualizing multivalued data from 2D incompressible flows using concepts from painting. In Proceedings Visualization '99, 333--340.
[19]
Laidlaw, D. H., Ahrens, E. T., Kremers, D., Avalos, M. J., Jacobs, R. E., and Readhead, C. 1998. Visualizing diffusion tensor images of the mouse spinal cord. In Proceedings Visualization '98, 127--134.
[20]
Lewis, J.-P. 1984. Texture synthesis for digital painting. Computer Graphics (SIGGRAPH 84 Proceedings) 18, 3, 245--252.
[21]
Litwinowicz, P. 1997. Processing images and video for an impressionist effect. In SIGGRAPH 97 Conference Proceedings, T. Whitted, Ed., 407--414.
[22]
Lu, A., Morris, C. J., Ebert, D. S., Rheingans, P., and Hansen, C. 2002. Non-photorealistic volume rendering using stippling techniques. In Proceedings Visualization 2002, 211--218.
[23]
Meier, B. J. 1996. Painterly rendering for animation. In SIGGRAPH 96 Conference Proceedings, H. Rushmeier, Ed., 477--484.
[24]
Pham, B. 1991. Expressive brush strokes. Computer Vision, Graphics and Image Processing 53, 1, 1--6.
[25]
Ramachandran, V. 2000. The science of art: How the brain responds to beauty. In Understanding wisdom: Sources, science, and society., W. S. Brown, Ed. Templeton Foundation Press., Philadelphia, PA.
[26]
Rheingans, P., and Ebert, D. 2001. Volume illustration: Non-photorealistic rendering of volume models. IEEE Transactions on Visualization and Computer Graphics 7, 3, 253--264.
[27]
Salisbury, M., Anderson, S. E., Barzel, R., and Salesin, D. H. 1994. Interactive pen-and-ink illustrations. In SIGGRAPH 94 Conference Proceedings, A. S. Glassner, Ed., 101--108.
[28]
Salisbury, M., Wong, M. T., Hughes, J. F., and Salesin, D. H. 1997. Orientable textures for image-based pen-and-ink illustration. In SIGGRAPH 97 Conference Proceedings, T. Whitted, Ed., 401--406.
[29]
Secord, A. 2002. Weighted voronoi stippling. In Proceedings NPAR 2002 Symposium on Non-Photorealistic Animation and Rendering, 37--43.
[30]
Shiraishi, M., and Yamaguchi, Y. 2000. An algorithm for automatic painterly rendering based on local source image approximation. In Proceedings NPAR 2000 Symposium on Non-Photorealistic Animation and Rendering, 53--58.
[31]
Stompel, A., Lum, E., and Ma, K.-L. 2002. Feature-enhanced visualization of multidimensional, multivariate volume data using non-photorealistic rendering techniques. In 10th Pacific Conference on Computer Graphics and Applications, 1--8.
[32]
Strassmann, S. 1986. Hairy brushes. Computer Graphics (SIGGRAPH 86 Proceedings) 20, 4, 185--194.
[33]
Tateosian, L. G. 2002. Nonphorealistic visualization of multidimensional datasets. Master's thesis, North Carolina State University.
[34]
Walter, J. D., and Healey, C. G. 2001. Attribute preserving dataset simplification. In VIS '01: Proceedings of the conference on Visualization '01, IEEE Computer Society, 113--120.
[35]
Wilson, B., and Ma, K.-L. 2004. Rendering complexity in computer-generated pen-and-ink illustrations. In NPAR '04: Proceedings of the 3rd international symposium on Non-photorealistic animation and rendering, ACM Press, 129--137.
[36]
Winkenbach, G., and Salesin, D. H. 1994. Computer-generated pen-and-ink illustration. In SIGGRAPH 94 Conference Proceedings, A. Glassner, Ed., 91--100.
[37]
Winkenbach, G., and Salesin, D. H. 1996. Rendering parametric surfaces in pen-and-ink. In SIGGRAPH 96 Conference Proceedings, H. Rushmeier, Ed., 469--476.
[38]
Wooding, D. 2002. Eye movements of large populations: Ii. deriving regions of interest, coverage, and similarity using fixation maps. Behavior Research Methods, Instruments, and Computers 34, 4, 518--528.

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cover image ACM Conferences
NPAR '07: Proceedings of the 5th international symposium on Non-photorealistic animation and rendering
August 2007
157 pages
ISBN:9781595936240
DOI:10.1145/1274871
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 04 August 2007

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Author Tags

  1. NPR applications
  2. aesthetics
  3. mesh simplification
  4. nonphotorealistic rendering
  5. visualization
  6. voronoi diagrams

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  • (2019)Artifact-Based Rendering: Harnessing Natural and Traditional Visual Media for More Expressive and Engaging 3D VisualizationsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2019.2934260(1-1)Online publication date: 2019
  • (2018)Data visualization as creative art practiceVisual Communication10.1177/147035721876820217:3(299-312)Online publication date: 17-Apr-2018
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