Computer Vision
A Reference Guide
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Beschreibung
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 are considering 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.
Published both in print and online
Provides extensive resources for further reading
Treats both theoretical and applied aspects of this rapidly growing field
Autor*in
Katsushi Ikeuchi
Themen in »Computer Vision«
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
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“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)
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