Overview
- Published both in print and online
- Provides extensive resources for further reading
- Treats both theoretical and applied aspects of this rapidly growing field
- Includes supplementary material: sn.pub/extras
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Table of contents (534 entries)
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Front Matter
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A
Keywords
- Camera
- Camera parameters
- Cognitive vision
- Computer graphics
- Computer vision
- Deblurring
- Depth distortion
- Face identification
- Gait recognition
- High-performance computing
- Human-machine interaction
- Image formation
- Image processing
- Image retrieval
- Image-based rendering
- Interactive segmentation
- Machine learning
- Machine recognition of objects
- Motion blur
- Motion blur capture
- Multi-camera human action recognition
- Multimedia
- Object gesture recognition
- Robotics
- Sensors
- Signal processing
- Sparse coding
- Statistical shape analysis
- Subspace methods
- Underwater effects
- Video analysis and annotation
- Video retrieval
About this book
This comprehensive reference provides easy access to relevant information on all aspects of Computer Vision. An A-Z format of over 240 entries offers a diverse range of topics for those seeking entry into any aspect within the broad field of Computer Vision. Over 200 Authors from both industry and academia contributed to this volume.
Each entry includes synonyms, a definition and discussion of the topic, and a robust bibliography. Extensive cross-references to other entries support efficient, user-friendly searches for immediate access to relevant information. Entries were peer-reviewed by a distinguished international advisory board, both scientifically and geographically diverse, ensuring balanced coverage. Over 3700 bibliographic references for further reading enable deeper exploration into any of the topics covered.
The content of Computer Vision: A Reference Guide is expository and tutorial, making the book a practical resource for students who areconsidering entering the field, as well as professionals in other fields who need to access this vital information but may not have the time to work their way through an entire text on their topic of interest.
Reviews
“An encyclopedia of machine vision, with thorough alphabetized articles on theories and technologies for image processing, modeling, classification, and understanding, is provided in this reference. … it becomes invaluable to students and practitioners desiring to obtain a well-rounded perspective of computer vision. It is a must have in a machine vision scientist’s library.” (Rosario Uceda-Sosa, Computing Reviews, January, 2016)
Editors and Affiliations
About the editor
Katsushi Ikeuchi is a Professor of the University of Tokyo, Tokyo, Japan. He received the Ph.D. degree in Information Engineering from the University of Tokyo, Tokyo, Japan, in 1978. After working at the Artificial Intelligence Laboratory, MIT for three years, the Electrotechnical Laboratory, MITI for five years, and the School of Computer Science, Carnegie Mellon University for ten years, he joined the university in 1996.
He has served program/general chairman of several international conferences, including 1995 IEEE-IROS (General), 1996 IEEE-CVPR (Program), 1999 IEEE-ITSC (General) and 2003 ICCV (Program). He is an Editor-in-Chief of the International Journal of Computer Vision. He is a fellow of IEEE, IEICE, IPSJ, and RSJ.
He has received several awards, including Distinguished Researcher Award from IEEE PAMI-TC and Shiju Hou Sho (Medal of Honor with Purple ribbons) from Japanese Emperor.Bibliographic Information
Book Title: Computer Vision
Book Subtitle: A Reference Guide
Editors: Katsushi Ikeuchi
DOI: https://doi.org/10.1007/978-0-387-31439-6
Publisher: Springer New York, NY
eBook Packages: Computer Science, Reference Module Computer Science and Engineering
Copyright Information: Springer Science+Business Media New York 2014
Hardcover ISBN: 978-0-387-30771-8Published: 22 April 2014
eBook ISBN: 978-0-387-31439-6Published: 06 June 2014
Edition Number: 1
Number of Pages: XXXIV, 898
Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Artificial Intelligence, Signal, Image and Speech Processing