An Invitation to 3-D Vision: From Images to Geometric Models (Interdisciplinary Applied Mathematics, 26)
Ma, Yi; Soatto, Stefano; Kosecká, Jana; Sastry, S. Shankar
Language: English
Published by Springer, 2003
Series: Book 26 of 53 - Interdisciplinary Applied Mathematics
- Hardcover
- New
Seller: BennettBooksLtd, Los Angeles, CA, U.S.A.BennettBooksLtd
AbeBooks seller since April 17, 2008
Condition: New
£ 87.20
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Seller Inventory # Q-0387008934
- Title
- An Invitation to 3-D Vision: From Images to Geometric Models (Interdisciplinary Applied Mathematics, 26)
- Author
- Ma, Yi; Soatto, Stefano; Kosecká, Jana; Sastry, S. Shankar
- Publisher
- Springer
- Publication year
- 2003
- Condition
- New
- Binding
- hardcover
- Language
- English
- ISBN 10
- 0387008934
- ISBN 13
- 9780387008936
- Edition
- 2nd Edition
- Item weight
- 74 ounces
- Dimensions
- 6x1x9
- Series
- Book 26 of 53: Interdisciplinary Applied Mathematics
"Synopsis" may belong to another edition of this title.
From the Back Cover
Endowing machines with a sense of vision has been a dream of scientists and engineers alike for over half a century. Only in the past decade, however, has the geometry of vision been understood to the point where this dream becomes attainable, thanks also to the remarkable progress in imaging and computing hardware.
This book addresses a central problem in computer vision -- how to recover 3-D structure and motion from a collection of 2-D images -- using techniques drawn mainly from linear algebra and matrix theory. The stress is on developing a unified framework for studying the geometry of multiple images of a 3-D scene and reconstructing geometric models from those images. The book also covers relevant aspects of image formation, basic image processing, and feature extraction. The authors bridge the gap between theory and practice by providing step-by-step instructions for the implementation of working vision algorithms and systems.
Written primarily as a textbook, the aim of this book is to give senior undergraduate and beginning graduate students in computer vision, robotics, and computer graphics a solid theoretical and algorithmic foundation for future research in this burgeoning field. It is entirely self-contained with necessary background material covered in the beginning chapters and appendices, and plenty of exercises, examples, and illustrations given throughout the text.
"About the title" may belong to another edition of this title.
BennettBooksLtd
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