Overview
- Highlights recent research in machine vision and augmented intelligence
- Discusses the outcomes of MAI 2022
- Serves as a reference guide for researchers and practitioners in academia and industry
Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 1007)
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Table of contents (51 papers)
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Front Matter
Keywords
About this book
Editors and Affiliations
About the editors
Manish Kumar Bajpai is an Assistant Professor in the Department of Computer Science and Engineering at the Indian Institute of Information Technology Design and Manufacturing, Jabalpur, India. He completed his Ph.D. from IIT Kanpur in image reconstruction and parallel algorithm design. Dr. Bajpai has published over 50 publications in international journals and conferences. He has several sponsored research and consultancy projects funded by agencies such as SPARC, MHRD, DST, USIEF, ATAL, BRNS, and NVIDIA. Eleven students have completed/pursuing their Ph.D. under his supervision. His research areas are augmented intelligence, machine vision, brain-computer interface, medical imaging, and parallel algorithms design. Dr. Bajpai is a senior member of IEEE and a life member of the Indian Science Congress and Indian Nuclear Society.
Dr. Akbar Sheikh Akbari is an associate professor (Reader) of Electronic Engineering in the School of Built Environment, Engineering and Computing. He has a B.Sc. (Hons), M.Sc. (distinction), and Ph.D. in Electronic and Electrical Engineering. After completing his Ph.D. at Strathclyde University, he joined Bristol University to work on an EPSRC project in stereo/multi-viewvideo processing. Dr. Sheikh Akbari’s main areas of research are: biometric identification techniques, e.g., iris, ear, and face recognition, image resolution enhancement (super-resolution) methods, image source camera identification, color constancy (white balancing) techniques, standard and non-standard image/video codecs, e.g., H.264 and HEVC, multi-view image/video processing, video analytics and real-time embedded systems, edge detection in low SNR environments, compressive sensing, retro-reflective materials, online camera calibration. Dr. Sheikh Akbari was the academic supervisor for the following KTP project: Omega Security Systems/Leeds Beckett University, “Research, develop and implement a scalable and modular system which monitors and analyses individual behavioural patterns and movements in a range of environments”, Funder: innovate UK, 24 months, £122,040, which was graded outstanding by innovate UK.
Bibliographic Information
Book Title: Machine Vision and Augmented Intelligence
Book Subtitle: Select Proceedings of MAI 2022
Editors: Koushlendra Kumar Singh, Manish Kumar Bajpai, Akbar Sheikh Akbari
Series Title: Lecture Notes in Electrical Engineering
DOI: https://doi.org/10.1007/978-981-99-0189-0
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023
Hardcover ISBN: 978-981-99-0188-3Published: 01 May 2023
Softcover ISBN: 978-981-99-0191-3Published: 02 May 2024
eBook ISBN: 978-981-99-0189-0Published: 30 April 2023
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: XII, 663
Number of Illustrations: 71 b/w illustrations, 285 illustrations in colour
Topics: Computer Applications, Computer Imaging, Vision, Pattern Recognition and Graphics, Computer Communication Networks