Computing perceptually optimal visualizations

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Samenvatting

Visualization is often more an art than a science. Here a model-based approach to visualization is promoted in order to make steps forward in this respect. The main ingredients of this approach are the derivation of a quantitative model of the perception of (certain aspects of) a visualization, the definition of an optimal visualization, followed by its computation. Some examples of this approach are presented, with optimal zooming and panning as main example. Advantages and problems are discussed. In conclusion, we think this approach to be challenging and promising, although we acknowledge that it is not an easy route.
Originele taal-2Engels
TitelMathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration
RedacteurenT. Möller, B. Hamann, R.D. Russell
Plaats van productieBerlin
UitgeverijSpringer
Pagina's343-350
ISBN van geprinte versie978-3-540-25076-0
DOI's
StatusGepubliceerd - 2009

Publicatie series

NaamMathematics and Visualization
ISSN van geprinte versie1612-3786

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Citeer dit

Wijk, van, J. J. (2009). Computing perceptually optimal visualizations. In T. Möller, B. Hamann, & R. D. Russell (editors), Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration (blz. 343-350). (Mathematics and Visualization). Berlin: Springer. https://doi.org/10.1007/b106657_18