Abstract
Assignment of visual parameters is one of the most frequently applied operations in visualization systems. In practical applications, however, this assignment becomes a significant burden for the user due to its vast complexity. This chapter reviews state-of-the-art strategies for the assignment of visual parameters in scientific visualization systems. We introduce the transfer function as a mapping from abstract data values to visual properties. We clarify the terms pre- and post-classification and show the significance of multi-dimensional transfer functions. The chapter covers both image-driven and data-driven techniques for automatic transfer function design as well as general concepts for building intuitive user interfaces.
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Salama, C. (2009). Visual Parameters and Transfer Functions. In: Liere, R., Adriaansen, T., Zudilova-Seinstra, E. (eds) Trends in Interactive Visualization. Advanced Information and Knowledge Processing. Springer, London. https://doi.org/10.1007/978-1-84800-269-2_5
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DOI: https://doi.org/10.1007/978-1-84800-269-2_5
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