Scientific visualization : advances and challenges
著者
書誌事項
Scientific visualization : advances and challenges
Academic Press, c1994
大学図書館所蔵 全27件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references, abstracts (p. [509]-516), and index
内容説明・目次
内容説明
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 $> presents readers with a unique opportunity to examine expert thinking and current practice, and to obtain a vision of potential future directions. It will be essential reading for scientific and engineering practitioners and visualization researchers alike.
目次
Volume Visualization: A. Kaufman,<$> 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.
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