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9. P. Rheingans, Opacity-modulating triangular textures for irregular surfaces, Proc. Visual. ’96, 1996, pp. 219–225. 10. M. C. , The movable filter as a user interface tool, Proc. CHI ’94, 1994, pp. 306–312. 11. M. M. Loughlin and J. F. Hughes, An annotation system for 3-D fluid flow visualization, Proc. IEEE Visual. ’94, 1994, pp. 273–279. 12. E. J. Farrell, Visual interpretation of complex data, IBM Syst. , 26: 174–200, 1987. 13. J. Helman and L. Hesselink, Representation and display of vector field topology in fluid flow data sets, Visualization in Scientific Computing, Los Alamitos, CA: IEEE Computer Society Press, 1990, pp.

Interactive data visualization using focusing and linking, Proc. Visual. ’91, San Diego, 1991, pp. 156–163. 39. J. D. Mulder and J. J. van Wijk, 3-D computational steering with parameterized geometric objects, Proc. IEEE Visual. ’95, 1995, pp. 304–311. 18. C. , The application visualization system: A computational environment for scientific visualization, IEEE Comput. Graph. , 9 (4): 30–42, 1989. 40. , Collaboration and visual steering of simulations, Proc. SPIE Conf. Visual Data Exploration Anal.

The process of mapping, graphical display, analysis, and interaction is sometimes called the visualization pipeline (6). The pipeline includes components for initial data representations, input of these data, filtering or sampling for visualization or analysis, application of visualization procedures, transforming of the data into geometric or image form, and display. The sections below will discuss all these aspects. The visualization pipeline represents both a dataflow and a visualization network.

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