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Emerging Topics in Computer Vision

Emerging Topics in Computer Vision

Gérard Medioni Sing Bing Kang
4.1/5 (6 ratings)
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. 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.
Language
English
Pages
688
Format
Paperback
Publisher
Pearson
Release
July 21, 2004
ISBN
0131013661
ISBN 13
9780131013667

Emerging Topics in Computer Vision

Gérard Medioni Sing Bing Kang
4.1/5 (6 ratings)
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. 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.
Language
English
Pages
688
Format
Paperback
Publisher
Pearson
Release
July 21, 2004
ISBN
0131013661
ISBN 13
9780131013667

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