Scientific visualization : advances and challenges
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Volume Visualization: A. Kaufman, Trends in Volume Visualization and Volume Graphics. K.H. Hihne, A. Pommort, M. Riemer, T. Schiemann, R. Schubert, and U. Tiede, Medical Volume Visualization Based on Intelligent Volumes. W. Kruger and P. Schroder, Data Parallel Volume Rendering. Interface Technology and Perception: J. Encarnacao and M. Fruhauf, Global Information Visualization--The Visualization Challenge for the 21st Century. S. Bryson, Real-Time Exploratory Scientific Visualization and Virtual Reality. C. Beshers and S. Feiner, Automated Design of Data Visualizations. J. Foley and B. Ribarsky, Next-generation Data Visualization Tools. N. Gershon, From Perception to Visualization. Visualizing Large Data Sets: G. Nielson, Research Issues in Modeling for the Analysis and Visualization of Large Data Sets. P. Brunet, R. Juan, I. Navazo, A. Puig, J. Sole, and D. Tost, Modeling and Visualization Through Data Compression. M. Gross, Subspace Methods for the Visualization of Multidimensional Data Sets. H. Hagen, Visualization of Large Data Sets. Foundations and Systems: N.M. Thalmann and D. Thalmann, Computer Animation: A Key Issue forTime Visualization. R.A. Earnshaw and M. Jern, Fundamental Approaches to Interactive Real-Time Visualization Systems. J. Gallop, Underlying Data Models and Structures for Visualization. S. Causse, F. Juaneda, and M. Grave, Partitioned Objects Sharing for Visualization in Distributed Environments. T. Fruhauf, M. Gibel, H. Haase, and K. Karlsson, Design of a Flexible Monolithic Visualization System. P. Robertson and L. De Ferrari, Systematic Approaches to Visualization: Is a Reference Model Needed? Modeling Complexity: Y. Shinagawa, T. Kunii, A. Fomenko, and S. Takahashi, Coding of Object Surfaces Using Atoms. M. Novak, Fractal Geometry and Its Applications in Visualization. J. Rossignac, Representing and Visualizing Complex Continuous Geometric Models. A. Gagalowicz, Modeling Complex Indoor Scenes Using an Analysis/Synthesis Framework. Applications: F. Post and J. van Wijk, Visual Representation of Vector Fields: Recent Developments and Research Directions. D.I. Abramov, V.V. Gusev, S.V. Klimenko, W. Kruger, L.I. Ponomarev, and W. Renz, Visualization of the Quantum Coulomb Three-Body Problem in the Adiabatic Hyperspherical Approach. E. De Jong, Solar System Visualization:Global Science Maps. L. Hesselink and T. Delmarcelle, Visualization of Vector and Tensor Data Sets. L.J. Rosenblum and B. Kamgar-Parsi, Progress and Problems in Ocean Visualization. L.J. Rosenblum, Research Issues in Scientific Visualization. Appendix. Subject Index.