Recent Advances in Computer Vision: Theories and Applications
Название: Recent Advances in Computer Vision: Theories and Applications
Автор: Mahmoud Hassaballah, Khalid M. Hosny
Издательство: Springer
ISBN: 3030029999
Год: 2019
Страниц: 430
Язык: английский
Формат: pdf (true), epub
Размер: 133.8 MB

This book presents a collection of high-quality research by leading experts in computer vision and its applications. Each of the 16 chapters can be read independently and discusses the principles of a specific topic, reviews up-to-date techniques, presents outcomes, and highlights the challenges and future directions.

As such the book explores the latest trends in fashion creative processes, facial features detection, visual odometry, transfer learning, face recognition, feature description, plankton and scene classification, video face alignment, video searching, and object segmentation. It is intended for postgraduate students, researchers, scholars and developers who are interested in computer vision and connected research disciplines, and is also suitable for senior undergraduate students who are taking advanced courses in related topics. However, it is also provides a valuable reference resource for practitioners from industry who want to keep abreast of recent developments in this dynamic, exciting and profitable research field.


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