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Computer And Machine Vision, Davies, E. R.


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Цена: 12801.00р.
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Автор: Davies, E. R.
Название:  Computer And Machine Vision
ISBN: 9780123869081
Издательство: Elsevier Science
Классификация:
ISBN-10: 0123869080
Обложка/Формат: Hardback
Страницы: 912
Вес: 1.95 кг.
Дата издания: 18.04.2012
Язык: English
Издание: 4 ed
Размер: 235 x 192 x 27
Читательская аудитория: Professional & vocational
Основная тема: Comms & Net Eng
Подзаголовок: Theory, algorithms, practicalities
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: Presents the basic methodology of computer and machine vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This text contains case studies on surveillance and driver assistance systems that give practical methods on these advanced applications in computer vision.


      Новое издание
Computer Vision

Автор: Davies, E. R.
Название: Computer Vision
ISBN: 012809284X ISBN-13(EAN): 9780128092842
Издательство: Elsevier Science
Цена: 14483.00 р.
Наличие на складе: Есть у поставщикаПоставка под заказ.
Описание:

Computer Vision: Principles, Algorithms, Applications, Learning (previously entitled Computer and Machine Vision) clearly and systematically presents the basic methodology of computer vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fifth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date text suitable for undergraduate and graduate students, researchers and R&D engineers working in this vibrant subject.

See an interview with the author explaining his approach to teaching and learning computer vision - http: //scitechconnect.elsevier.com/computer-vision/

  • Three new chapters on Machine Learning emphasise the way the subject has been developing; Two chapters cover Basic Classification Concepts and Probabilistic Models; and the The third covers the principles of Deep Learning Networks and shows their impact on computer vision, reflected in a new chapter Face Detection and Recognition.
  • A new chapter on Object Segmentation and Shape Models reflects the methodology of machine learning and gives practical demonstrations of its application.
  • In-depth discussions have been included on geometric transformations, the EM algorithm, boosting, semantic segmentation, face frontalisation, RNNs and other key topics.
  • Examples and applications--including the location of biscuits, foreign bodies, faces, eyes, road lanes, surveillance, vehicles and pedestrians--give the 'ins and outs' of developing real-world vision systems, showing the realities of practical implementation.
  • Necessary mathematics and essential theory are made approachable by careful explanations and well-illustrated examples.
  • The 'recent developments' sections included in each chapter aim to bring students and practitioners up to date with this fast-moving subject.
  • Tailored programming examples--code, methods, illustrations, tasks, hints and solutions (mainly involving MATLAB and C++)


Pattern Recognition and Machine Learning

Автор: Christopher M. Bishop
Название: Pattern Recognition and Machine Learning
ISBN: 0387310738 ISBN-13(EAN): 9780387310732
Издательство: Springer
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Цена: 11878.00 р.
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Описание: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Correlation Pattern Recognition

Автор: Kumar
Название: Correlation Pattern Recognition
ISBN: 0521153484 ISBN-13(EAN): 9780521153485
Издательство: Cambridge Academ
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Цена: 8554.00 р.
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Описание: This book provides a needed review of the diverse background material needed for correlation pattern recognition, developing the signal processing theory, the pattern recognition metrics, and the practical application know-how from basic premises. Includes case studies of interest, such as face and fingerprint recognition. For graduate students and practitioners.

Machine Learning for Computer Vision

Автор: Roberto Cipolla; Sebastiano Battiato; Giovanni Mar
Название: Machine Learning for Computer Vision
ISBN: 3642446868 ISBN-13(EAN): 9783642446863
Издательство: Springer
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Цена: 16977.00 р.
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Описание: Collecting articles covering talks and tutorials from the latest session of the International Computer Vision Summer School (ICVSS), this book offers a thorough exploration of current progress in the science and technology of making machines that see.

BMVC91

Автор: Peter Mowforth
Название: BMVC91
ISBN: 354019715X ISBN-13(EAN): 9783540197157
Издательство: Springer
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Цена: 16979.00 р.
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Описание: Lewis Carroll once wrote a story about a king who wanted a very accurate map of his kingdom. The king had a pathologically fastidious eye for detail and consequently decided that the map was to be produced at a scale of 1:1. Such was the detail of the map that as soon as the wind blew strongly, whole sections needed to be redrawn.

Image Technology

Автор: Jorge L.C. Sanz
Название: Image Technology
ISBN: 3540583068 ISBN-13(EAN): 9783540583066
Издательство: Springer
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Цена: 33401.00 р.
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Описание: Image processing and machine vision are fields of renewed interest in the commercial market. Many of the most promising developments are taking place in the field of image processing and its applications. The book offers a broad coverage of advances in a range of topics in image processing and machine vision.

Three-Dimensional Machine Vision

Автор: Takeo Kanade
Название: Three-Dimensional Machine Vision
ISBN: 0898381886 ISBN-13(EAN): 9780898381887
Издательство: Springer
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Цена: 45979.00 р.
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Описание: Arobotmustperceivethethree-dimensionalworldifitistobeeffective there. Yet recovering 3-D information from projected images is difficult, and still remains thesubjectofbasic research. Alternatively, onecan use sensorsthatcanprovidethree-dimensionalrangeinformationdirectly. The technique ofprojecting light-stripesstartedto be used in industrialobject recognition systems asearly asthe 1970s, andtime-of-flight laser-scanning range finders became available for outdoor mobile robotnavigation in the mid-eighties. Once range data are obtained, a vision system must still describe the scene in terms of 3-D primitives such as edges, surfaces, and volumes, and recognize objeCts of interest. Today, the art of sensing, extractingfeatures, and recognizing objectsbymeans ofthree-dimensional rangedataisoneofthemostexcitingresearchareasincomputervision. Three-Dimensional Machine Vision is a collection of papers dealing withthree-dimensionalrangedata. Theauthorsarepioneeringresearchers: some are founders and others are bringingnew excitements in thefield. I have tried to select milestone papers, and my goalhas beento make this bookareferenceworkforresearchersinthree-dimensionalvision. The book is organized into four parts: 3-D Sensors, 3-D Feature Extractions, ObjectRecognitionAlgorithms, andSystemsandApplications. Part I includes four papers which describe the development of unique, capable 3-D range sensors, as well as discussions of optical, geometrical, electronic, and computational issues. Mundy and Porter describe asensor systembasedonstructuredilluminationforinspectingmetalliccastings. In order to achieve high-speed data acquisition, it uses multiple lightstripes withwavelength multiplexing. Case, Jalkio, andKim alsopresentamulti- stripe system and discuss various design issues in range sensing by triangulation. ThenumericalstereocameradevelopedbyAltschuler, Bae, Altschuler, Dijak, Tamburino, and Woolford projects space-coded grid patterns which are generated by an electro-optical programmable spatial viii PREFACE light modulator. Kanade and Fuhrman present a proximity sensor using multipleLEDswhich areconically arranged. Itcan measurebothdistance andorientationofanobject'ssurface.

B?zier and Splines in Image Processing and Machine Vision

Автор: Sambhunath Biswas; Brian C. Lovell
Название: B?zier and Splines in Image Processing and Machine Vision
ISBN: 1849966877 ISBN-13(EAN): 9781849966870
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book deals with various image processing and machine vision problems efficiently with splines and includes: the significance of Bernstein Polynomial in splines, detailed coverage of Beta-splines applications which are relatively new, Splines in motion tracking, various deformative models and their uses.

Intelligent Machine Vision

Автор: Bruce Batchelor; Frederick Waltz
Название: Intelligent Machine Vision
ISBN: 3540762248 ISBN-13(EAN): 9783540762249
Издательство: Springer
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Цена: 21661.00 р.
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Описание: Brings together the central issues involved in intelligent machine vision. The book describes state-of-the-art and the latest developments in the field, including: fundamentals of "intelligent" image processing, specifically intended for Machine Vision systems; and algorithm optimization.

Three-Dimensional Machine Vision

Автор: Takeo Kanade
Название: Three-Dimensional Machine Vision
ISBN: 1461291844 ISBN-13(EAN): 9781461291848
Издательство: Springer
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Цена: 45979.00 р.
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Advances in Machine Vision

Автор: Jorge L.C. Sanz
Название: Advances in Machine Vision
ISBN: 0387968229 ISBN-13(EAN): 9780387968223
Издательство: Springer
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Цена: 20257.00 р.
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Описание: Eleven papers present state-of-the-art sensing techniques, architectures, and inspection systems with emphasis on industrial application. Topics range from active optical imaging sensors to architectures and algorithms for image understanding.

Issues on Machine Vision

Автор: G.G. Pieroni
Название: Issues on Machine Vision
ISBN: 3211821481 ISBN-13(EAN): 9783211821480
Издательство: Springer
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Цена: 12157.00 р.
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Описание: In this volume, a number of subjects are discussed. They include theoretical aspects which focus on shape analysis, special architectures, 3-D image decomposition and inspection by machine vision. A full survey of present industrial applications is also provided.

Machine Learning in Medical Imaging

Автор: Guorong Wu; Daoqiang Zhang; Dinggang Shen; Pingkun
Название: Machine Learning in Medical Imaging
ISBN: 3319022660 ISBN-13(EAN): 9783319022666
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the refereed proceedings of the 4th International Workshop on Machine Learning in Medical Imaging, MLMI 2013, held in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013, in Nagoya, Japan, in September 2013.


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