The Visualization Handbook (Hardcover)
暫譯: 視覺化手冊 (精裝版)

Charles D. Hansen, Chris R. Johnson

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商品描述

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

商品描述(中文翻譯)

**描述:**
視覺化涉及構建圖形介面,使人類能夠理解複雜的數據集;它幫助人類克服從大量數據中提取知識的自然限制,這些數據現在通常是相互連接的。

科學視覺化的最佳論據是,當今的研究人員必須消耗越來越多的數字,這些數字如同從消防水管中噴出一般,來自超級計算機模擬或高性能科學儀器。如果研究人員試圖閱讀數據,通常以龐大的數字矩陣呈現,他們將以蜗牛般的速度吸收信息。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。

3D科學視覺化的快速進展對數據/信息的顯示產生了重大影響。這些進展得益於計算能力和圖形編程技術的提升,這兩者的結合將視覺化工具帶給來自各個工程學科的研究人員和實踐者,以及物理、社會和生命科學的多學科觀眾。

**目錄:**
視覺化手冊

第一部分:
約翰遜和漢森的介紹
第1章:施羅德的視覺化概述

第二部分:標量場視覺化 - 等值面
第1章:利夫納特的加速等值面提取方法
第2章:沈的時間依賴等值面提取
第3章:斯科皮尼奧、奇戈尼、蒙塔尼和普波的最佳等值面提取
第4章:小山田和高之的使用極值圖的等值面提取
第5章:惠特克的等值面和水平集

第三部分:標量場視覺化 - 體積渲染
第1章:阿里·考夫曼和克勞斯·穆勒的體積渲染概述
第2章:克勞菲斯、薛和張的使用點雲的體積渲染
第3章:克尼斯、金德曼和漢森的多維轉換函數體積渲染
第4章:克勞斯和厄特爾的預積分體積渲染
第5章:菲斯特的硬體加速體積渲染

第四部分:向量場視覺化
第1章:維斯科普夫和厄勒巴赫的流動視覺化概述
第2章:戈登·厄勒巴赫、喬巴德和維斯科普夫的流動紋理
第3章:江、馬基拉朱和湯普森的渦流檢測與視覺化

第五部分:張量場視覺化
第1章:列昂尼德·朱科夫和艾倫·H·巴爾的定向張量重建
第2章:臧、金德曼和萊德勞的擴散張量MRI視覺化
第3章:謝爾曼和特里科赫的張量視覺化拓撲方法

第六部分:視覺化的幾何建模
第1章:羅西尼亞克的3D網格壓縮
第2章:哈根和霍茲的視覺化變分建模方法
第3章:科恩和馬諾查的模型簡化

第七部分:視覺化的虛擬環境
第1章:布萊森的虛擬現實中的直接操作
第2章:伊基茨和布雷德森的視覺觸覺工作台
第3章:里巴斯基的虛擬地理信息系統
第4章:洛夫頓、陳和羅森布魯姆的虛擬現實視覺化

第八部分:大規模數據視覺化
第1章:赫爾曼和帕夫拉科斯的桌面交付:訪問大型數據集
第2章:馬和盧姆的時間變化體積數據視覺化技術
第3章:麥考密克和阿赫倫斯的大規模數據視覺化與渲染:問題驅動的方法
第4章:帕夫拉科斯和赫爾曼的大數據視覺化問題與架構
第5章:貝塞爾和沙爾夫的使用Visapult消耗網絡帶寬

第九部分:視覺化軟體和框架
第1章:施羅德和馬丁的VTK - 視覺化工具包
第2章:帕克等人的SCIRun問題解決環境中的視覺化
第3章:沃爾頓的NAG的Iris Explorer
第4章:法夫雷和瓦萊的AVS和AVS Express
第5章:希巴德的Vis5D、Cave5D和VisAD
第6章:曼徹斯特視覺化中心的AVS視覺化
第7章:阿赫倫斯、吉維奇和勞的ParaView
第8章:尤的Insight Toolkit (ITK)
第9章:斯塔林、韋斯特霍夫和赫格的Amira - 一個高互動系統,用於視覺數據分析

第十部分:視覺化中的感知問題
第1章:埃伯特的將視覺化擴展到感知:感知在有效信息傳達中的重要性
第2章:因特蘭特的藝術與科學視覺化
第3章:查爾默斯和凱特的在視覺化中利用人類視覺感知

第十一部分:選定主題和應用
第1章:艾克的可擴展網絡視覺化
第2章:凱姆、希普斯和安克斯特的視覺數據挖掘技術
第3章:米德爾頓和威爾海姆森的天氣與氣候研究中的視覺化
第4章:柯比、基夫和萊德勞的繪畫與視覺化
第5章:泰勒、博蘭德、布魯克斯、法爾沃等的顯微鏡視覺化與自然控制系統
第6章:馬、舒森和威爾遜的計算加速物理學視覺化