Depth From Defocus: A Real Aperture Imaging Approach - Couverture souple

Chaudhuri, Subhasis; Rajagopalan, A. N.

Couverture souple

ISBN 10 : 1461271649 ISBN 13 : 9781461271642

Editeur : Springer, 2012

Synopsis

Depth recovery is important in machine vision applications when a 3-dimensional structure must be derived from 2-dimensional images. This is an active area of research with applications ranging from industrial robotics to military imaging. This book provides the comprehensive details of the methodology, along with the complete mathematics and algorithms involved. Many new models, both deterministic and statistical, are introduced.

A propos du livre

À propos de l'auteur

Prof. Subhasis Chaudhuri received his B.Tech. Degree in Electronics and Electrical Communication Engineering from the Indian Institute of Technology Kharagpur, Kharagpur in 1985. He received his M.Sc. and Ph.D. degrees, both in Electrical Engineering, from the University of Calgary, Canada, and the University of California, San Diego, respectively. He joined the Department of Electrical Engineering at the Indian Institute of Technology Bombay, Bombay in 1990 as an Assistant Professor and is currently serving as the KN Bajaj Chair Professor. He has also served as the Head of the Department, the Dean (International Relations) and a Deputy Director. He has also served as a Visiting Professor at the University of Erlangen-Nuremberg, the Technical University of Munich and the University of Paris XI. He is a Fellow of the science and engineering Academies in India. He is a recipient of the Dr. Vikram Sarabhai Research Award (2001), the Swarnajayanti Fellowship (2003), the S.S. BhatnagarPrize in engineering sciences (2004) and the J.C. Bose National Fellowship (2008). He is a co-author of the books 'Depth from Defocus: A Real Aperture Imaging Approach', 'Motion-Free Super-Resolution', and 'Blind Image Deconvolution: Methods and Convergence', all published by Springer, New York (NY). He is currently an associate editor for the journal International Journal of Computer Vision. His primary areas of research include image processing and computational haptics.

Amit Bhardwaj received his B.Tech. and M.E. degrees in Electronics and Communication Engineering from the YMCA Institute of Engineering, Faridabad, Haryana, and the Delhi College of Engineering, Delhi, in 2009 and 2011, respectively. He has recently completed his Ph.D in Electrical Engineering at the Indian Institute of Technology Bombay, Bombay, and is currently an Alexander von Humboldt Fellow at the Technical University of Munich. His current research areas include signal processing, haptics, kinesthetic perception, haptic data communication and applications of machine learning. 

À propos de la quatrième de couverture

Computer vision is becoming increasingly important in several industrial applications such as automated inspection, robotic manipulations and autonomous vehicle guidance. These tasks are performed in a 3-D world and it is imperative to gather reliable information on the 3-D structure of the scene. This book is about passive techniques for depth recovery, where the scene is illuminated only by natural light as opposed to active methods where a special lighting device is used for scene illumination. Passive methods have a wider range of applicability and also correspond to the way humans infer 3-D structure from visual images.

Détails de l'édition

• Éditeur: Springer
• Date d'édition: 2012
• Langue: anglais
• ISBN 10: 1461271649
• ISBN 13: 9781461271642
• Reliure: Broché
• Nombre de pages: 191
• Coordonnées du fabricant: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Allemagne