Read more
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.
List of contents
Over 240 entries organized A to Z.
About the author
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.
Summary
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.
Additional text
“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)
Report
"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)
