The Visualization Handbook (Hardcover)

Description:

Visualization involves constructing graphical interfaces that enable humans to understand complex data sets; it helps humans overcome their natural limitations in terms of extracting knowledge from the massive volumes of data that are now routinely connected.

The best argument for scientific visualization is that today's researchers must consume ever higher volumes of numbers that gush, as if from a fire hose, out of supercomputer simulations or high-powered scientific instruments. If researchers try to read the data, usually presented as vast numeric matrices, they will take in the information at snail's pace. If the information is rendered graphically, however, they can assimilate it at a much faster rate

Rapid advances in 3-D scientific visualization have made a major impact on the display of data/information. These advances have been supported by advances in computing power and graphics programming techniques, which combined have brought the tools of visualization to a multidisciplinary audience of both researchers and practitioners from all engineering disciplines, as well as the physical, social and life sciences.

Table of Contents:

Visualization Handbook

Section One:
Introduction by Johnson and Hansen
Chapter 1. Overview of Visualization by Schroeder

Section Two: Scalar Field Visualization - Isosurfaces

Chapter 1. Accelerated Isosurface Extraction Approaches by Livnat
Chapter 2. Time Dependent Isosurface Extraction by Shen
Chapter 3. Optimal Isosurface Extraction by Scopigno, Cignoni, Montani and Puppo
Chapter 4. Isosurface Extraction using Extrema Graphs by Koyamada and Takayuki
Chapter 5. Isosurfaces and Level-Sets by Whitaker

Section Three: Scalar Field Visualization – Volume Rendering

Chapter 1. Overview of Volume Rendering by Arie Kaufman and Klaus Mueller
Chapter 2. Volume Rendering using Splatting by Crawfis, Xue and Zhang
Chapter 3. Multi-Dimensional Transfer Functions for Volume Rendering by Kniss, Kindlemann and Hansen
Chapter 4. Preintegrated Volume Rendering by Kraus and Ertl
Chapter 5. Hardware-Accelerated Volume Rendering by Pfister

Section Four: Vector Field Visualization

Chapter 1. Flow Visualization Overview by Weiskopf and Erlebacher
Chapter 2. Flow Textures by Gordon Erlebacher, Jobard and Weiskopf
Chapter 3. Detection and Visualization of Vortices by Jiang, Machiraju, and Thompson

Section Five: Tensor Field Visualization

Chapter 1. Oriented Tensor Reconstruction by Leonid Zhukov and Alan H. Barr
Chapter 2. Diffusion Tensor MRI Visualization by Zang, Kindlemann and Laidlaw
Chapter 3. Topological Methods for Tensor Visualization by Scheuermann and Tricoche

Section Six: Geometric Modeling for Visualization

Chapter 1. 3D Mesh Compression by Rossignac
Chapter 2. Variational Modeling Methods for Visualization by Hagen and Hotz
Chapter 3. Model Simplification by Cohen and Manocha

Section Seven: Virtual Environments for Visualization

Chapter 1. Direct Manipulation in Virtual Reality by Bryson
Chapter 2. The Visual Haptic Workbench by Ikits and Brederson
Chapter 3. Virtual Geographic Information Systems by Ribarsky
Chapter 4. Visualization Using Virtual Reality by Loften, Chen and Rosenblum

Section Eight: Large-scale Data Visualization

Chapter 1. A Desktop Delivery: Access to Large Data Sets by Heermann and Pavlakos
Chapter 2. Techniques for Visualizing Time-Varying Volume Data by Ma and Lum
Chapter 3. Large Scale Data Visualization and Rendering: A Problem Driven Approach by McCormick and Ahrens
Chapter 4. Issues and Architectures for Large Data Visualization by Pavlakos and Heermann
Chapter 5. Consuming Network Bandwidth with Visapult by Bethel and Shalf

Section Nine: Visualization Software and Frameworks

Chapter 1. VTK – The Visualization Toolkit by Schroeder and Martin
Chapter 2. Visualization in the SCIRun Problem Solving Environment by Parker et al.
Chapter 3. NAG’s Iris Explorer by Walton
Chapter 4. AVS and AVS Express by Favre and Valle
Chapter 5. Vis5D, Cave5D and VisAD by Hibbard
Chapter 6. Visualization with AVS by Manchester Visualization Center
Chapter 7. ParaView by Ahrens, Geveci and Law
Chapter 8. The Insight Toolkit (ITK) by Yoo
Chapter 9. Amira- a Highly-interation system for Visual Data Anlysis by Stalling, Westerhoff, Hege

Section Ten: Perceptual Issues in Visualization

Chapter 1. Extending Visualization to Perception: The Importance of Perception in Effective Communication of Information by Ebert
Chapter 2. Art and Science Visualization by Interrante
Chapter 3. Exploiting Human Visual Perception in Visualization by Chalmers and Cater

Section Eleven: Selected Topics and Applications

Chapter 1. Scalable Network Visualization by Eick
Chapter 2. Visual Data Mining Techniques by Keim, Sips, Ankerst
Chapter 3. Visualization in Weather and Climate Research by Middleton and Wilhelmson
Chapter 4. Painting and Visualization by Kirby, Keefe, and Laidlaw
Chapter 5. Visualization and Natural Control Systems for Microscopy by Taylor, Borland, Brooks , Falvo et al.
Chapter 6. Visualization for Computational Accelerator Physics by Ma, Schussonan, Wilson

描述：
可視化涉及構建圖形界面，使人們能夠理解複雜的數據集；它幫助人們克服了從現在開始常常連接的大量數據中提取知識的自然限制。科學可視化的最好論點是，如今的研究人員必須消耗越來越多的數字，這些數字像從消防車一樣湧出超級計算機模擬或高功率科學儀器。如果研究人員試圖閱讀數據，通常以龐大的數字矩陣呈現，他們將以蝸牛的速度獲取信息。然而，如果信息以圖形方式呈現，他們可以以更快的速度吸收它。三維科學可視化的快速發展對數據/信息的顯示產生了重大影響。這些進展得到了計算能力和圖形編程技術的支持，這兩者結合起來將可視化工具帶給了來自所有工程學科以及物理、社會和生命科學的跨學科研究人員和從業人員。

目錄：
可視化手冊
第一部分：引言
第1章：可視化概述
第二部分：標量場可視化 - 等值面
第1章：加速等值面提取方法
第2章：時間依賴性等值面提取
第3章：最佳等值面提取
第4章：使用極值圖提取等值面
第5章：等值面和水平集
第三部分：標量場可視化 - 體積渲染
第1章：體積渲染概述
第2章：使用點狀渲染的體積渲染
第3章：體積渲染的多維傳輸函數
第4章：預積分體積渲染
第5章：硬件加速的體積渲染
第四部分：向量場可視化
第1章：流場可視化概述
第2章：流場紋理
第3章：渦旋的檢測和可視化
第五部分：張量場可視化
第1章：定向張量重建
第2章：擴散張量MRI可視化
第3章：張量可視化的拓撲方法
第六部分：用於可視化的幾何建模
第1章：三維網格壓縮
第2章：用於可視化的變分建模方法
第3章：模型簡化
第七部分：可視化的虛擬環境
第1章：虛擬現實中的直接操作
第2章：視覺觸覺工作臺
第3章：虛擬地理信息系統
第4章：使用虛擬現實進行可視化
第八部分：大規模數據可視化
第1章：桌面交付：訪問大數據