Scientific Visualization: Advances and ChallengesLawrence J. Rosenblum Numerical simulations of global warming, Mars observation data, and aircraft design are but a few of the topics where the use of human visual perception for data understanding are considered essential. Ten years agoa handful of pioneers professed the value of visualization to skeptical audiences. Today, with supercomputers and sensors producing ever-increasing amounts of data, scientific visualization is accepted throughout much of science and engineering as the fundamental tool for data analysis. Written by a world-wide panel of visualization experts, Scientific Visualization: Advances and Challenges presents astute coverage of prevailing trends, issues, and practice of scientific visualization. From algorithmic topics such as volume graphics and the modeling and visualization of large data sets, to foundations, perception, and interface technology (including virtual reality), this book provides the latest advances in the area. The book demonstrates new techniques, examines diverse application areas, and discusses current limitations and upcoming requirements. Scientific Visualization:Advances and Challenges $> presents readers with a unique opportunity to examine expert thinking and current practice, and to obtain a vision of potential future directions. It will be essential reading for scientific and engineering practitioners and visualization researchers alike. Offers extremely topical and timely coverage of a rapidly evolving area Includes contributions from an international panel of visualization experts in one accessible volume Provides scientific and engineering practitioners as well as visualization researchers with an essential guide to the literature |
Contents
1 Trends in Volume Visualization and Volume Graphics | 5 |
11 Subspace Methods for the Visualization of Multidimensional | 11 |
Arie Kaufman State University of New York at Stony Brook U S | 25 |
Copyright | |
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Common terms and phrases
algorithms analysis approach color complex components compression computer animation Computer Graphics Computer Science Computer Society contours coordinates data model data sets data visualization defined described developed display domain dynamics encoding environment example exploration Figure flow fractal function global glyphs graph Graphics and Applications grid hardware Hesselink icons IEEE Computer Graphics implementation input integration interpolation isosurfaces ISVAS ization Kaufman large data sets mapping methods modules motion nodes objects octree operations parallel parameters particles perception performance physical polygon primitive problem Proceedings raster graphics real-time represent robot sampled scalar scene scientific visualization simulation space spatial specification streamlines surface Technology tensor fields Thalmann three-dimensional topology transform user interface values variables vector field velocity virtual virtual reality visualization systems visualization techniques visualization tools volume graphics volume modeling volume rendering volume visualization volumetric voxel wavelets workstations
References to this book
Multivariate Statistical Methods in Quality Management Kai Yang,Jayant Trewn No preview available - 2004 |