Data visualization techiques
著者
書誌事項
Data visualization techiques
（Trends in software, 6）
John Wiley & Sons, c1999
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注記
Bibliography: p. [131]-144
内容説明・目次
内容説明
Data visualization concerns the manipulation of sampled and computed data for comprehensive display. The goal of the visualization is to bring to the user a deeper understanding of the data as well as the underlying laws and properties. Presenting massive amounts of data as images, it is possible to focus on important information and understand the science behind the data without being weighed down by less critical material. Motion and interaction in visualization also allow focus and better comprehension of the information displayed. This work addresses aspects of interactivity in the visualization of field data as well as data structures and algorithmic techniques for efficient computation and visualization.
目次
- Visualization Paradigms (C. Bajaj)
- Efficient Techniques for Volume Rendering of Scalar Fields (R. Yagel)
- Accelerated Isocontouring of Scalar Fields (C. Bajaj, et al.)
- Surface Interrogation: Visualization Techniques for Surface Analysis (S. Hahmann)
- Vector Field Visualization Techniques (R. Crawfis & N. Max)
- Applications of Texture Mapping to Volume and Flow Visualization (N. Max, et al.)
- Continuous Bayesian Tissue Classification of Visualization (D. Laidlaw)
- References.
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