The Community for Technology Leaders
RSS Icon
Issue No.03 - May (1995 vol.15)
pp: 54-62
Visualization is the process of converting a large set of numbers produced by a numerical simulation or experiment into a graphical image. Since the ultimate goal is to better understand the underlying science, it is crucial to isolate, identify, and quantify important regions and structures. We discuss feature-based techniques which can be incorporated into standard visualization algorithms to greatly enhance the quantification and visualization of observed phenomena.
scientific visualization, feature extraction, CFD, amorphous objects, computer vision
Deborah Silver, "Object-Oriented Visualization", IEEE Computer Graphics and Applications, vol.15, no. 3, pp. 54-62, May 1995, doi:10.1109/38.376613
1. I. Carlbom, I. Chakravarty, and W. Hsu, “Integrating Computer Graphics, Computer Vision, and Image Processing in Scientific Applications,” Computer Graphics (Siggraph 91 Workshop Report), Vol. 26, No. 1, Jan. 1992, pp. 8-16.
2. B. Jahne, Digital Image Processing, Springer Verlag, Berlin, 1991.
3. J.L. Helman and L. Hesselink, "Visualization of Vector Field Topology in Fluid Flows," IEEE Computer Graphics and Applications, vol. 11, no. 3, pp. 36-46, 1991.
4. D. Silver and N. Zabusky, “Quantifying Visualizations for Reduced Modeling in Nonlinear Science: Extracting Structures from Data Sets,” J. Visual Comm. and Image Representation, Vol. 4, No. 1, Mar. 1993, pp. 46-61.
5. D.H. Ballard and C.M. Brown, Computer Vision, Prentice Hall, Upper Saddle River, N.J., 1982.
6. J. Miller et al., “Geometrically Deformed Models: A Method for Extracting Closed Geometric Models from Volumes,” Computer Graphics, Vol. 25, No. 4, July 1991, pp. 217-226.
7. K. Ma, M. Cohen, and J. Painter, “Volume Seeds: A Volume Exploration Technique,” J. Visualization and Computer Animation, Vol. 4, No. 2, 1991, pp. 135-140.
8. J.K. Udupa and D. Odhner, “Shell Rendering,” IEEE Computer Graphics and Applications, vol. 13, no. 6, pp. 58-67, 1993.
9. T. Walsum and F. Post, “Selective Visualization of Vector Fields,” Computer Graphics Forum (Proc. Eurographics 94), Vol. 13, Blackwell, Oxford, 1994, pp. 339-347.
10. S. Liou and A. Singh, “High-Resolution 3D Edge Detection for Non-Uniformly Sampled Images,” tech. manuscript, Siemens Corporate Research, Princeton, N.J., 1993.
11. J. Wilhelms and A. Van Gelder, "Octrees for Faster Isosurface Generation," ACM Trans. Graphics, vol. 11, no. 3, July 1992, pp. 201-227.
12. R. Samtaney et al., “Visualizing Features and Tracking Their Evolution,” Computer, Vol. 27, No. 7, July 1994, pp. 20-27.
16 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool