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 | 3 |
11 Subspace Methods for the Visualization of Multidimensional | 11 |
Arie Kaufman State University of New York at Stony Brook U S | 21 |
Copyright | |
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Common terms and phrases
algorithms allows analysis animation applications approach associated color communication complex components Computer Graphics consider corresponding create data sets defined described developed direction discussed display dynamics effective elements encoding environment example exploration face field Figure flow function geometric given global glyphs grid icons IEEE implementation important integration interactive interest interface interpretation issues ization knowledge mapping means methods motion move objects obtained operations parallel parameters particles particular performance physical position possible presented Press problem Proceedings produce projection properties real-time reference regions rendering represent representation sampled scale scene Science scientific visualization selection shape shows simulation solution space spatial specific step streamlines structure surface task techniques tensor transform University values variables vector virtual visualization systems volume volume rendering voxel
References to this book
Multivariate Statistical Methods in Quality Management Kai Yang,Jayant Trewn No preview available - 2004 |