Abstract
A new algorithm is proposed for interactive visualization of large 3D timedependent datasets. The idea is to process only the part of the data which is actually seen by the observer’s eye i.e. the Cone Of Vision (COV). This technique improves interactivity and limits memory requirements since only the COV is stored in the core memory. This feature is very useful for very large and/or timedependent datasets. The COV approach has been implemented in a scientific visualization software called ICFS and it appeared to be up to 100 times better than a classical approach.
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© 1993 Springer-Verlag Berlin Heidelberg
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Astruc, D., Vincent, A. (1993). The Cone Of Vision: A new Technique for Interactive Scientific Visualization. In: Göbel, M., Teixeira, J.C. (eds) Graphics Modeling and Visualization in Science and Technology. Beiträge zur Graphischen Datenverarbeitung. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-77811-7_4
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DOI: https://doi.org/10.1007/978-3-642-77811-7_4
Publisher Name: Springer, Berlin, Heidelberg
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