E-Book, Englisch, Band 924, 264 Seiten, eBook
Mudenagudi / Nigam / Sarvadevabhatla Proceedings of the Satellite Workshops of ICVGIP 2021
1. Auflage 2022
ISBN: 978-981-19-4136-8
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, Band 924, 264 Seiten, eBook
Reihe: Lecture Notes in Electrical Engineering
ISBN: 978-981-19-4136-8
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
This book constitutes peer-reviewed proceedings of satellite workshops of the 12th Indian Conference on Computer Vision, Graphics, and Image Processing (ICVGIP 2021). The book focuses on medical image processing, digital heritage, document analysis and recognition, and computer vision applications. The first part includes submissions on digital archiving and restoration methods with interesting and innovative research components. The second part focuses on medical imaging modalities including MRI, X-ray, CT, imaging in nuclear medicine, medical ultrasound, optical and confocal microscopy, and video and range data images. The third part deals with document analysis and recognition and focuses on text recognition, document layout analysis, understanding, historical and degraded document analysis, datasets, performance evaluation, metrics, etc. The fourth part of this book includes research work from academia and industry across the globe on smart, innovative, and practical applications of computer vision for industrial and societal impact. This book shares innovative ideas, experience and expertise, and ongoing research ideas and will be helpful for researchers and practitioners in academia and industry.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Systematic Approach to Tuning a Deep CNN Classifying Bharatanatyam Mudras.- Comparative Analysis of Neural Architecture Search Methods for Classification of Cultural Heritage Sites.- Heritage Representation of Kashi Vishweshwar Temple at Kalabgoor, Telangana with Augmented Reality Application Using Photogrammetry.- Augmented Data as an Auxiliary Plug-In Toward Categorization of Crowdsourced Heritage Data.- Evolution of Bagbazar Street Through Visibility Graph Analysis (1746–2020).