Perceptual techniques for scientific visualization

Conference

C. G. Healey
C. G. Healey, V. Interrante, P. Rheingans, Fundamental issues of visual perception for effective image generation, Course 6, SIGGRAPH 99, 1999, pp. 1-42

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APA Click to copy
Healey, C. G. (1999). Perceptual techniques for scientific visualization. In C. G. Healey, V. Interrante, & P. Rheingans (Eds.), Fundamental issues of visual perception for effective image generation (Vol. Course 6, pp. 1–42). SIGGRAPH 99.

Chicago/Turabian Click to copy
Healey, C. G. “Perceptual Techniques for Scientific Visualization.” In Fundamental Issues of Visual Perception for Effective Image Generation, edited by C. G. Healey, V. Interrante, and P. Rheingans, Course 6:1–42. SIGGRAPH 99, 1999.

MLA Click to copy
Healey, C. G. “Perceptual Techniques for Scientific Visualization.” Fundamental Issues of Visual Perception for Effective Image Generation, edited by C. G. Healey et al., vol. Course 6, SIGGRAPH 99, 1999, pp. 1–42.

BibTeX Click to copy

@conference{c1999a,
  title = {Perceptual techniques for scientific visualization},
  year = {1999},
  organization = {SIGGRAPH 99},
  pages = {1-42},
  volume = {Course 6},
  author = {Healey, C. G.},
  editor = {Healey, C. G. and Interrante, V. and Rheingans, P.},
  booktitle = {Fundamental issues of visual perception for effective image generation}
}

Abstract

This talk describes our investigation of methods for choosing color, texture, orientation, shape, and other features to visualize certain types of large, multidimensional datasets. These datasets are becoming more and more common; examples include scientific simulation results, geographic information systems, satellite images, and biomedical scans. The overwhelming amount of information contained in these datasets makes them difficult to analyze using traditional mathematical or statistical techniques. It also makes them difficult to visualize in an efficient or useful manner.