Editors:
- Addresses computer vision methodologies and technical solutions applied to advanced control systems using conventional and intelligent paradigms
- Presents applications of and practical innovations in applied computer vision and vision-based control systems
- Consistently focused on real-life applications throughout
- Includes supplementary material: sn.pub/extras
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 136)
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Table of contents (11 chapters)
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Front Matter
About this book
The research book is a continuation of the authors’ previous works, which are focused on recent advances in computer vision methodologies and technical solutions using conventional and intelligent paradigms.
The book gathers selected contributions addressing a number of real-life applications including the identification of handwritten texts, watermarking techniques, simultaneous localization and mapping for mobile robots, motion control systems for mobile robots, analysis of indoor human activity, facial image quality assessment, android device controlling, processing medical images, clinical decision-making and foot progression angle detection.
Given the tremendous interest among researchers in the development and applications of computer vision paradigms in the field of business, engineering, medicine, security and aviation, the book offers a timely guide for all PhD students, professors, researchers and software developers working in the areas of digital video
processing and computer vision technologies.Editors and Affiliations
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Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia
Margarita N. Favorskaya
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Faculty of Education, Science, Technology and Mathematics, University of Canberra, Canberra, Australia
Lakhmi C. Jain
Bibliographic Information
Book Title: Computer Vision in Control Systems-4
Book Subtitle: Real Life Applications
Editors: Margarita N. Favorskaya, Lakhmi C. Jain
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-319-67994-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-67993-8Published: 09 November 2017
Softcover ISBN: 978-3-319-88527-8Published: 01 September 2018
eBook ISBN: 978-3-319-67994-5Published: 25 October 2017
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XIV, 317
Number of Illustrations: 51 b/w illustrations, 86 illustrations in colour
Topics: Computational Intelligence, Control and Systems Theory