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Design and Implementation of Real-Time Multi-Sensor Vision Systems, Softcover reprint of the original 1st ed. 2017

Langue : Anglais
Couverture de l’ouvrage Design and Implementation of Real-Time Multi-Sensor Vision Systems

This book discusses the design of multi-camera systems and their application to fields such as the virtual reality, gaming, film industry, medicine, automotive industry, drones, etc.  The authors cover the basics of image formation, algorithms for stitching a panoramic image from multiple cameras, and multiple real-time hardware system architectures, in order to have panoramic videos. Several specific applications of multi-camera systems are presented, such as depth estimation, high dynamic range imaging, and medical imaging.

Chapter 1.Introduction.- Chapter 2.State-of-the-Art Multi-Camera Systems.- Chapter 3.Panorama Construction Algorithms.- Chapter 4.Omnidirectional Multi-Camera Systems Design.- Chapter 5.Miniaturization of Multi-Camera Systems.- Chapter 6.Interconnected Network of Cameras.- Chapter 7.Towards Real-Time Gigapixel Video.- Chapter 8.Binocular and Trinocular Disparity Estimation.- Chapter 9.Real-Time Image Registration via Optical Flow Calculation.- Chapter 10. Computational Imaging Applications.-Chapter 11. Conclusion.

Vladan Popovic received his B.Sc. degree in electrical engineering from the University of Belgrade, School of Electrical Engineering, Serbia in 2009, M.Sc. degree in electrical and electronic engineering, and Ph.D. degree from the Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland, in 2011 and 2016, respectively. In 2016 he joined Intel Corporation, Santa Clara, California as a Research Scientist. His research interests include embedded systems design, real-time implementation of image processing algorithms, computational photography and multi-resolution image processing. He was awarded the Bob Owens Best Student Paper Award at the IEEE Workshop on Signal Processing Systems 2012, and the Logitech prize for his Master thesis in 2011, for outstanding creativity, innovation, pragmatism and economic feasibility.

Kerem Seyid received the B.Sc. degree in Electronics Engineering from Sabanci University, Istanbul, Turkey in 2010, M.Sc. and Ph.D. degree in Electrical Engineering from Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland in 2012 and 2016, respectively. His research interests include real-time implementation of digital video and image processing systems and digital hardware design.

Ömer Cogal received the B.Sc. degree in electronics engineering from Istanbul Technical University, Istanbul, Turkey, M.Sc. degree from Bogazici University, Istanbul, Turkey, and Ph.D. degree from Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland, in 2005, 2009, and 2015, respectively. In 2015, he joined Heptagon Advanced Micro Optics - AMS Group, Zurich, Switzerland as an Image Processing Specialist. His research interests include digital circuit design, embedded system design, and real-time image processing hardware design. 

Abdulkadir Akin is a Postdoctoral Researcher at Quan

Covers every important aspect of multi-camera systems, ranging from image stitching algorithms to custom-designed hardware architectures Discusses the entire implementation pipeline, including issues in real-time systems design Describes a proven approach, including examples of state-of-the-art applications

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Ouvrage de 257 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

94,94 €

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