Proceedings of 3rd International Conference on Computer Vision and Image Processing, 1st ed. 2020 CVIP 2018, Volume 2 Advances in Intelligent Systems and Computing Series, Vol. 1024
Bidyut Baran Chaudhuri is currently Pro Vice Chancellor of Techno India University, Salt Lake, Calcutta, India. Previously he was INAE Distinguished Professor at Indian Statistical Institute, Calcutta.He received his B.Sc. (Hons), B.Tech, and M.Tech. degrees from Calcutta University, India, and his Ph.D. from the Indian Institute of Technology Kanpur, in 1980. He did his postdoc work as Leverhulme fellow at Queen’s University, UK and acted as a visiting faculty at the Technical University, Hannover, Germany. His main research interests are in Pattern Recognition, Image Processing, Language processing and Machine learning in which he has published 450 research Papers and five books. He is a life fellow of IEEE, IAPR, TWAS as well as fellow of Indian Academies like INAE, INSA, INASc. He has received many awards for his research work. Prof. Chaudhuri is now an Associate Editor of the International Journal of Document Analysis and Recognition (IJDAR), International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI). In the past he worked in such capacity in several other international journals.
Masaki Nakagawa is a Professor of Media Interaction at the Department of Computer and Information Sciences, Tokyo University of Agriculture and Technology, Japan. He graduated from the University of Tokyo in March 1977 and pursued an M.Sc. course in Computer Studies at Essex University, England, sponsored by the Japanese Government. In March 1979, he graduated from the University of Tokyo with an M.Sc. in Physics. In July 1979, he completed his M.Sc. in Computer Studies at Essex University in England, and in December 1988, he completed his Ph.D. at the University of Tokyo. His work chiefly focuses on handwriting recognition and pen-based user interfaces and applications, especially educational applications. Prof. Nakagawa has over 300 publications to his credit.
Pritee Khanna is an Associate Profes
Presents selected works reviewed by the experts from the domain
Provides rich and authentic literature in the area of imaging and computer vision
Includes fruitful and critical conclusions drawn from cutting-edge research in each chapter
Date de parution : 09-2019
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