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Visual Computing Geometry, Graphics, and Vision

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ISBN-10: 1584504277

ISBN-13: 9781584504276

Edition: 2006

Authors: Frank Nielsen

List price: $59.95
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Visual Computing: Geometry, Graphics, and Vision is a concise introduction to common notions, methodologies, data structures and algorithmic techniques arising in the mature fields of computer graphics, computer vision, and computational geometry. The central goal of the book is to provide a global and unified view of the rich interdisciplinary visual computing field that encompasses traditional computer graphics, computer vision, and computational geometry. The book is targeted at undergraduate students, and gaming or graphics professionals. Lectures in computer graphics/vision may find this textbook complementary and valuable. The book aims at broadening and fostering readers? knowledge…    
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Book details

List price: $59.95
Copyright year: 2006
Publisher: Charles River Media
Publication date: 8/2/2005
Binding: Hardcover
Pages: 560
Size: 7.50" wide x 9.25" long x 1.50" tall
Weight: 2.530
Language: English

Introduction
What Is Visual Computing?
Target Audience
Organization of the Book
Future of Visual Computing
Companion Web Site
Abstract Data Structures
Pointers, Arrays, Lists, and Graphs
Stacks and Queues
Dictionaries
Priority Queues
Disjoint Sets
Geometric Hashing
C++ Standard Template Library and Traits Classes
Bibliographical Notes
Coordinate Pipelines
Transformation Principles
Geometry Pipeline
Graphics Pipeline
Vision Pipelines
Advanced Coordinate Pipelines
Summary and Perspectives
Bibliographical Notes
Images
Application: Warping and Morphing Images
Interpolations
Colors
Halftoning and Dithering
High-dynamic Range Imaging
Image Pyramids
Bibliographical Notes
Meshes
Prelude to Meshes
Basic Mesh Descriptions
Data Structures for Meshes
Operations on Meshes
Geometry Images
Alternative to Meshes
Bibliographical Notes
Animation
Kinetic Data Structures
Motion Capture
Computer Graphics Animation
Bibliographical Notes
Randomization
Randomized Analysis of QuickSort
Random Sample Consensus
Monte Carlo Samplings
Randomizing Incremental Algorithms
Randomized Incremental Optimization
Skip Lists
Bibliographical Notes
Higher Dimensions for ?3D?
Nearest Neighbors
Clustering
Mathematical Techniques
Bibliographical Notes
Robustness
Identifying Code Weaknesses and Defining Robustness
IEEE
Filtering Predicates
Predicate Degrees
Overview of Libraries
Bibliographical Notes