Emerging Topics in Computer Vision

ISBN-10: 0131013661

ISBN-13: 9780131013667

Edition: 2005

List price: $99.00
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Description: The popularity of topics in computer vision shifts periodically, precipitated by what actually works or shows great promise, changing interests in applications, and on occasion, fortuitous advancements in hardware technology. Some of these topics remain popular over the years, such as facial recognition and modeling from images, while others are relatively new, such as computer vision techniques for graphics and the application of level-set theory in computer vision. Many currently popular topics in computer vision tend to be multidisciplinary. The primary aim of this book is to provide a snapshot of topics that are currently popular in computer vision and enable the curious to get a quick grasp of such topics. Each chapter is a self-contained primer on a particular subject of current interest, and is suitable for use in an introductory short course. The chapters are written by leading researchers in their respective fields. In addition, the accompanying DVD contains lectures by the contributors to provide the reader a quick multimedia overview of the topics addressed in the book. This book is intended for researchers and technical practitioners in computer vision and other closely allied fields such as computer graphics and image processing. No advanced technical background knowledge is necessary in order to understand the contents of the book.

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Book details

List price: $99.00
Copyright year: 2005
Publisher: Prentice Hall PTR
Publication date: 7/21/2004
Binding: Mixed Media
Pages: 688
Size: 7.25" wide x 9.25" long x 1.50" tall
Weight: 2.684
Language: English

Preface
Contributors
Introduction
Fundamentals in Computer Vision
Camera Calibration
Introduction
Notation and Problem Statement
Camera Calibration with 3D Objects
Camera Calibration with 2D Objects: Plane-Based Technique
Solving Camera Calibration with 1D Objects
Self-Calibration
Conclusion
Estimating Homography Between Plane and Image
Bibliography
Multiple View Geometry
Introduction
Projective Geometry
Tensor Calculus
Modeling Cameras
Multiple View Geometry
Structure and Motion I
Structure and Motion II
Autocalibration
Dense Depth Estimation
Visual Modeling
Conclusion
Bibliography
Robust Techniques for Computer Vision
Robustness in Visual Tasks
Models and Estimation Problems
Location Estimation
Robust Regression
Conclusion
Bibliography
The Tensor Voting Framework
Introduction
Related Work
Tensor Voting in 2D
Tensor Voting in 3D
Tensor Voting in ND
Application to Computer Vision Problems
Conclusion and Future Work
Acknowledgments
Bibliography
Applications in Computer Vision
Image-Based Lighting
Basic Image-Based Lighting
Advanced Image-Based Lighting
Image-Based Relighting
Conclusion
Bibliography
Computer Vision In Visual Effects
Introduction
Computer Vision Problems Unique to Film
Feature Tracking
Optical Flow
Camera Tracking and Structure from Motion
The Future
Bibliography
Content-Based Image Retrieval: An Overview
Overview of Chapter
Image Domains
Image Features
Representation and Indexing
Similarity and Search
Interaction and Learning
Conclusion
Bibliography
Face Detection, Alignment, and Recognition
Introduction
Face Detection
Face Alignment
Face Recognition
Bibliography
Perceptual Interfaces
Introduction
Perceptual Interfaces and HCI
Multimodal Interfaces
Vision-Based Interfaces
Brain-Computer Interfaces
Summary
Bibliography
Programming for Computer Vision
Open Source Computer Vision Library
Overview
Functional Groups: What's Good for What
Pictorial Tour
Programming Examples Using C/C++
Other Interfaces
Bibliography
Software Architecture For Computer Vision
Introduction
SAI: A Software Architecture Model
MFSM: An Architectural Middleware
Conclusion
Acknowledgments
Bibliography
Index
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