Abstract
Visualizing complex volume data sets often involves collaborative work of geographically distributed domain scientists and visualization experts. Integrating inputs from participants is critical to the success of such collaborative scientific visualization tasks. In this paper, we introduce a novel rule-based collaborative volume feature visualization system for sharing and integrating multiple users’ knowledge in a collaborative environment. Our system is effective at combining multiple users’ efforts on locating complex features.
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© 2007 Springer-Verlag Berlin Heidelberg
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Wang, Y., Yuan, X., Shan, G., Chi, X. (2007). Rule-Based Collaborative Volume Visualization. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2007. Lecture Notes in Computer Science, vol 4674. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74780-2_32
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DOI: https://doi.org/10.1007/978-3-540-74780-2_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74779-6
Online ISBN: 978-3-540-74780-2
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