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Computer Vision: A Reference Guide, Second Edition

Posted By: AvaxGenius
Computer Vision: A Reference Guide, Second Edition

Computer Vision: A Reference Guide, Second Edition by Katsushi Ikeuchi
English | PDF,EPUB | 2021 | 1436 Pages | ISBN : 3030634159 | 278 MB

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.
3D Feature Action Recognition Active Camera Calibration Active Computer Vision Active Contours Active Object Recognition Active Perception Active Sensor Active Stereo Vision Active Vision Activity Analysis Activity Recognition AdaBoost Adaptive Gains Adversarial Networks Affine Camera Algebraic Curve Algebraic Surface Algorithm algorithms Algorithms Analytic Reflectance Functions Animat Vision Appearance Scanning Appearance-Based Human Tracking Automatic Gait Recognition Boosting Algorithm C Calculus Calculus of Variations Calibration Camera Calibration Camera Pose Chemical Imaging Clifford Algebra Cluster Sampling Cognitive Vision Color Adaptation Computer Science Computer Vision Curves Data Augmentation Data Fusion Deep Image Stylization Multi-camera Human Action Recognition Object Recognition Optic Flow Science Swendsen-Wang Algorithm Variational Analysis