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Issue No.01 - January/February (2010 vol.30)
pp: 30-39
Benjamin J. Kadlec , TerraSpark Geosciences
Henry M. Tufo , University of Colorado
Geoffrey A. Dorn , TerraSpark Geosciences
ABSTRACT
The proposed approach employs domain knowledge about the structure and topology of geologic features in seismic data to steer dynamic surfaces into those features. Specialized attributes guide evolving surfaces by adapting to the features' known shape. Geometric, topological, and geologic information can be rendered on the evolving surface, which lets the user infer knowledge during the process. The approach is implemented in a 3D visualization environment. A user study demonstrates this approach's ability to transfer domain knowledge to nonexperts. This article is part of a special issue on knowledge-assisted visualization.
INDEX TERMS
seismic visualization, segmentation of geologic features, implicit surfaces, geology, visualization, computer graphics, graphics and multimedia
CITATION
Benjamin J. Kadlec, Henry M. Tufo, Geoffrey A. Dorn, "Knowledge-Assisted Visualization and Segmentation of Geologic Features", IEEE Computer Graphics and Applications, vol.30, no. 1, pp. 30-39, January/February 2010, doi:10.1109/MCG.2010.13
REFERENCES
1. S. Osher and J.A. Sethian, "Fronts Propagating with Curvature-Dependent Speed: Algorithms Based on Hamilton-Jacobi Formulations," J.Computational Physics, vol. 79, 1988, pp. 12–49; http://math.berkeley.edu/~sethian/2006/Papers sethian.osher.88.pdf.
2. M. Chen et al., "Data, Information, and Knowledge in Visualization," IEEE Computer Graphics and Applications, vol. 29, no. 1, pp. 12–19.
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