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Vision Chips, Alireza Moini


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Цена: 27950.00р.
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Автор: Alireza Moini
Название:  Vision Chips
ISBN: 9781461374022
Издательство: Springer
Классификация:


ISBN-10: 1461374022
Обложка/Формат: Paperback
Страницы: 300
Вес: 0.45 кг.
Дата издания: 12.10.2012
Серия: The Springer International Series in Engineering and Computer Science
Язык: English
Размер: 234 x 156 x 17
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Implementing electronic hardware for image processing, therefore, may benefit from the underlying fundamental aspects of biological vision, though in no respect should this be regarded as a solid framework for electronic vision systems.


Panoramic Vision / Sensors, Theory, and Applications

Автор: Faugeras O., Benosman Ryad, Kang Sing B.
Название: Panoramic Vision / Sensors, Theory, and Applications
ISBN: 0387951113 ISBN-13(EAN): 9780387951119
Издательство: Springer
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Цена: 26552.00 р.
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Описание: This book features representative work in the design of panoramic image capturing systems, the theory involved in the imaging process, and applications that use panoramic images. This book allows the reader to understand the more technical aspects of panoramic vision, such as sensor design and imaging techniques.

Algorithms for Image Processing and Computer Vision

Автор: Parker J J
Название: Algorithms for Image Processing and Computer Vision
ISBN: 0470643854 ISBN-13(EAN): 9780470643853
Издательство: Wiley
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Цена: 12514.00 р.
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Описание: Programmers, scientists, and engineers are always in need of newer techniques and algorithms to manipulate and interpret images. Algorithms for Image Processing and Computer Vision is an accessible collection of algorithms for common image processing applications that simplifies complicated mathematical calculations.

Vision Based Autonomous Robot Navigation

Автор: Chatterjee
Название: Vision Based Autonomous Robot Navigation
ISBN: 3642339646 ISBN-13(EAN): 9783642339646
Издательство: Springer
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Цена: 19591.00 р.
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Описание: This book covers the theory and development of autonomous navigation of mobile robots using computer vision based sensing mechanism. It details several new approaches for real life vision based autonomous navigation algorithms.

Programming Computer Vision with Python: Techniques and Libraries for Imaging and Retrieving Information

Автор: Solem Jan Erik
Название: Programming Computer Vision with Python: Techniques and Libraries for Imaging and Retrieving Information
ISBN: 1449316549 ISBN-13(EAN): 9781449316549
Издательство: Wiley
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Цена: 7602.00 р.
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Описание: If you want a basic understanding of computer vision`s underlying theory and algorithms, this hands-on introduction is the ideal place to start. Programming Computer Vision with Python teaches computer vision in broad terms that won`t bog you down in theory. Instead, you`ll find this book to be inspiring and motivating.

Geometric Level Set Methods in Imaging, Vision, and Graphics

Автор: Osher Stanley, Paragios Nikos
Название: Geometric Level Set Methods in Imaging, Vision, and Graphics
ISBN: 0387954880 ISBN-13(EAN): 9780387954882
Издательство: Springer
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Цена: 16769.00 р.
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Описание: The topic of level sets is currently very timely and useful for creating realistic 3-D images and animations. They are powerful numerical techniques for analyzing and computing interface motion in a host of application settings. In computer vision, it has been applied to stereo and segmentation, whereas in graphics it has been applied to the postproduction process of in-painting and 3-D model construction.Osher is co-inventor of the Level Set Methods, a pioneering framework introduced jointly with James Sethian from the University of Berkeley in 1998. This methodology has been used up to now to provide solutions to a wide application range not limited to image processing, computer vision, robotics, fluid mechanics, crystallography, lithography, and computer graphics.The topic is of great interest to advanced students, professors, and R&D professionals working in the areas of graphics (post-production), video-based surveillance, visual inspection, augmented reality, document image processing, and medical image processing. These techniques are already employed to provide solutions and products in the industry (Cognitech, Siemens, Philips, Focus Imaging). An essential compilation of survey chapters from the leading researchers in the field, emphasizing the applications of the methods. This book can be suitable for a short professional course related with the processing of visual information.

Advanced Concepts for Intelligent Vision Systems

Автор: Wilfried Philips; Dan Popescu; Paul Scheunders
Название: Advanced Concepts for Intelligent Vision Systems
ISBN: 3642046967 ISBN-13(EAN): 9783642046964
Издательство: Springer
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Цена: 18167.00 р.
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Описание: The papers are organized in topical sections on technovision, fundamental mathematical techniques, image processing, coding and filtering, image and video analysis, computer vision, tracking, color, multispectral and special-purpose imaging, medical imaging, and biometrics.

Vision Chips

Автор: Alireza Moini
Название: Vision Chips
ISBN: 0792386647 ISBN-13(EAN): 9780792386643
Издательство: Springer
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Цена: 39130.00 р.
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Описание: Presents a systematic approach to the design and analysis of vision chips using analog VLSL. This book presents algorithmic level implementation issues. It reviews the VLSI technologies and general analog VLSI design methodologies, in the context of suitability for vision chips. It is intended for researchers in this area.

Designing Reliable and Efficient Networks on Chips

Автор: Srinivasan Murali
Название: Designing Reliable and Efficient Networks on Chips
ISBN: 904818200X ISBN-13(EAN): 9789048182008
Издательство: Springer
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Цена: 19589.00 р.
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Описание: The book provides state-of-the-art methods to solve some of the most important problems encountered during NoC design. It is the first book to present in depth the state-of-the-art algorithms and optimization models for performing system-level design of NoCs.

Multiple View Geometry in Computer Vision

Автор: Hartley, Zisserman
Название: Multiple View Geometry in Computer Vision
ISBN: 0521540518 ISBN-13(EAN): 9780521540513
Издательство: Cambridge Academ
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Цена: 13779.00 р.
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Описание: The theory and practice of scene reconstruction are described in detail in a unified framework. The new edition features an extended introduction covering the key ideas in the book (which itself has been updated with additional examples and appendices) and significant new results which have appeared since the first edition.

Brain, Vision, and Artificial Intelligence

Автор: Massimo De Gregorio; Vito Di Maio; Maria Frucci; C
Название: Brain, Vision, and Artificial Intelligence
ISBN: 3540292829 ISBN-13(EAN): 9783540292821
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Constitutes the refereed proceedings of the First International Symposium on Brain, Vision and Artificial Intelligence, BVAI 2005, held in Naples, Italy in October 2005. This book contains such topics as brain basics - neuroanatomy and physiology, development, plasticity and learning, synaptic, neuronic and neural network modeling.

Systematic Design of CMOS Switched-Current Bandpass Sigma-Delta Modulators for Digital Communication Chips

Автор: C. Toumazou; Jos? M. de la Rosa; Bel?n P?rez-Verd?
Название: Systematic Design of CMOS Switched-Current Bandpass Sigma-Delta Modulators for Digital Communication Chips
ISBN: 144194950X ISBN-13(EAN): 9781441949509
Издательство: Springer
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Цена: 26120.00 р.
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Описание: This very detailed book discusses architectures, circuits and procedures for the optimum design of bandpass sigma-delta A/D interfaces for mixed-signal chips in standard CMOS technologies. It provides uniquely in-depth coverage of switched-current errors, which supports the design of high performance SI chips.

Unifying Perspectives in Computational and Robot Vision

Автор: Danica Kragic; Ville Kyrki
Название: Unifying Perspectives in Computational and Robot Vision
ISBN: 1441945350 ISBN-13(EAN): 9781441945358
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Assembled in this volume is a collection of some of the state-of-the-art methods that are using computer vision and machine learning techniques as applied in robotic applications. Currently there is a gap between research conducted in the computer vision and robotics communities.


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