Proceedings of the Satellite Workshops of ICVGIP 2021, 1st ed. 2022 Lecture Notes in Electrical Engineering Series, Vol. 924
Coordonnateurs : Mudenagudi Uma, Nigam Aditya, Sarvadevabhatla Ravi Kiran, Choudhary Ayesha
Uma Mudenagudi is Dean, R&D, and Professor of ECE department at KLE Technological University Hubballi. She completed her Ph.D. from the Department of Computer Science, IIT Delhi, and M.Tech. degree from IIT Bombay. Her research areas are computer vision, computer graphics, image, and video analysis. She has got over 70 projects to her credit.
Aditya Nigam received his Master and Doctoral degrees from the Indian Institute of Technology Kanpur in 2009 and 2014, respectively. Presently, he is an Assistant Professor at IIT Mandi in the School of Computing and Electrical Engineering (SCEE). His research areas are biometrics, image processing, computer vision, and machine learning. He has several papers published to his credit.
Ayesha Choudhary is an Assistant Professor at the School of Computer & Systems Sciences at Jawaharlal Nehru University, India. She completed her Ph.D. from the Department of Computer Science and Engineering at the Indian Institute of Technology, Delhi (IIT Delhi). Her areas of research are computer vision and machine learning and their applications in Intelligent Transportation Systems, Assisted Living and Smart Agriculture. She has publications in various international journals and conferences to her credit.
Presents select proceedings of the satellite workshops of the 12th ICVGIP 2021
Discusses recent findings in document analysis and recognition
Shares innovative ideas, experience, and expertise in computer vision applications
Date de parution : 11-2023
Ouvrage de 264 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 232,09 €
Ajouter au panierDate de parution : 11-2022
Ouvrage de 264 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 232,09 €
Ajouter au panier