Guide to Three Dimensional Structure and Motion Factorization
Language: English
Published by Springer London, 2012
Series: Book 15 of 86 - Advances in Computer Vision and Pattern Recognition
- Softcover
- New
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Guide to Three Dimensional Structure and Motion Factorization | Guanghui Wang (u. a.) | Taschenbuch | xiv | Englisch | 2012 | Springer London | EAN 9781447125877 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Seller Inventory # 106156896
- Title
- Guide to Three Dimensional Structure and Motion Factorization
- Author
- Guanghui Wang (u. a.)
- Publisher
- Springer London
- Publication year
- 2012
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1447125878
- ISBN 13
- 9781447125877
- Item weight
- 340 grams
- Dimensions
- 229 x 152 x 15 mm
- Series
- Book 15 of 86: Advances in Computer Vision and Pattern Recognition
- Seller catalogs
- Bücher
The problem of structure and motion recovery from image sequences is an important theme in computer vision. Considerable progress has been made in this field during the past two decades, resulting in successful applications in robot navigation, augmented reality, industrial inspection, medical image analysis, and digital entertainment, among other areas. However, many of these methods work only for rigid objects and static scenes. The study of non-rigid structure from motion is not only of academic significance, but also has important practical applications in real-world, nonrigid or dynamic scenarios, such as human facial expressions and moving vehicles.
This practical guide/reference provides a comprehensive overview of Euclidean structure and motion recovery, with a specific focus on factorization-based algorithms. The book discusses the latest research in this field, including the extension of the factorization algorithm to recover the structure of non-rigid objects, and presents some new algorithms developed by the authors. Readers require no significant knowledge of computer vision, although some background on projective geometry and matrix computation would be beneficial.
Topics and features: presents the first systematic study of structure and motion recovery of both rigid and non-rigid objects from images sequences; discusses in depth the theory, techniques, and applications of rigid and non-rigid factorization methods in three dimensional computer vision; examines numerous factorization algorithms, covering affine, perspective and quasi-perspective projection models; provides appendices describing the mathematical principles behind projective geometry, matrix decomposition, least squares, and nonlinear estimation techniques; includes chapter-ending review questions, and a glossary of terms used in the book.
This unique text offers practical guidance in real applications and implementations of 3D modeling systems for practitioners incomputer vision and pattern recognition, as well as serving as an invaluable source of new algorithms and methodologies for structure and motion recovery for graduate students and researchers.
"Synopsis" may belong to another edition of this title.
From the Back Cover
The problem of structure and motion recovery from image sequences is an important theme in computer vision. Considerable progress has been made in this field during the past two decades, resulting in successful applications in robot navigation, augmented reality, industrial inspection, medical image analysis, and digital entertainment, among other areas. However, many of these methods work only for rigid objects and static scenes. The study of non-rigid structure from motion is not only of academic significance, but also has important practical applications in real-world, nonrigid or dynamic scenarios, such as human facial expressions and moving vehicles.
This practical guide/reference provides a comprehensive overview of Euclidean structure and motion recovery, with a specific focus on factorization-based algorithms. The book discusses the latest research in this field, including the extension of the factorization algorithm to recover the structure of non-rigid objects, and presents some new algorithms developed by the authors. Readers require no significant knowledge of computer vision, although some background on projective geometry and matrix computation would be beneficial.
Topics and features:
- Presents the first systematic study of structure and motion recovery of both rigid and non-rigid objects from images sequences
- Discusses in depth the theory, techniques, and applications of rigid and non-rigid factorization methods in three dimensional computer vision
- Examines numerous factorization algorithms, covering affine, perspective and quasi-perspective projection models
- Provides appendices describing the mathematical principles behind projective geometry, matrix decomposition, least squares, and nonlinear estimation techniques
- Includes chapter-ending review questions, and a glossary of terms used in the book
This unique text offers practical guidance in real applications and implementations of 3D modeling systems for practitioners in computer vision and pattern recognition, as well as serving as an invaluable source of new algorithms and methodologies for structure and motion recovery for graduate students and researchers.
Dr. Guanghui Wang is a Research Fellow at the Department of Systems Design Engineering at the University of Waterloo, Ontario, Canada.
Dr. Jonathan Wu is Professor of Automotive Sensors and Sensing Systems at the Department of Electrical and Computer Engineering at the University of Windsor, Ontario, Canada.
"About the title" may belong to another edition of this title.
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|---|---|---|
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