Synopsis
Similar to the way in which computer vision and computer graphics act as the dual fields that connect image processing in modern computer science, the field of image processing can be considered a crucial middle road between the vision and graphics fields. Research Developments in Computer Vision and Image Processing: Methodologies and Applications brings together various research methodologies and trends in emerging areas of application of computer vision and image processing. This book is useful for students, researchers, scientists, and engineers interested in the research developments of this rapidly growing field.
About the Author
Dr. Rajeev Srivastava is currently working as an Associate Professor in the Dept. of Computer Engineering, Indian Institute of Technology (BHU), Varanasi, India since November 2007. He received his Ph.D. degree in Computer Engineering from Faculty of Technology, University of Delhi, Delhi. He has around 15 years of teaching and research experience. He has around 50 research publications in refereed Journals, conferences, in edited books as book chapters and 02 books published by an international publisher (Germany) to his credit. He is reviewer of many international journals and technical program committee member of many international conferences. He was awarded a project by the NMEICT, MHRD, Govt. of India in 2010 for the design and development of an interactive e-content for the subject digital image processing and machine vision. His biography was listed in Marquis Whos Who is Science and Engineering, USA, 11th edition, 2011-12 and 2000 Outstanding Intellectuals of the 21st Century-2011 by IBC, Cambridge, UK. He is the recipient of 2010 Publication Scholar Award by IIT-BHU Global Alumni Association. He has delivered many invited talks in his research area. He was the coordinator and Organizing Secretary of a Refresher Course on ICT applications and a National conference on AI and Agents Applications, respectively. His research interests include image processing and computer vision, medical image processing, pattern recognition, video surveillance and algorithms.
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