Автор: Davies, E. R. Название: Computer Vision ISBN: 012809284X ISBN-13(EAN): 9780128092842 Издательство: Elsevier Science Цена: 96550 T 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++)
Автор: Christopher M. Bishop Название: Pattern Recognition and Machine Learning ISBN: 0387310738 ISBN-13(EAN): 9780387310732 Издательство: Springer Рейтинг: Цена: 79190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Kumar Название: Correlation Pattern Recognition ISBN: 0521153484 ISBN-13(EAN): 9780521153485 Издательство: Cambridge Academ Рейтинг: Цена: 57030.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Roberto Cipolla; Sebastiano Battiato; Giovanni Mar Название: Machine Learning for Computer Vision ISBN: 3642446868 ISBN-13(EAN): 9783642446863 Издательство: Springer Рейтинг: Цена: 113180.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Bruce G. Batchelor; Frederick Waltz Название: Interactive Image Processing for Machine Vision ISBN: 3540198148 ISBN-13(EAN): 9783540198147 Издательство: Springer Рейтинг: Цена: 148020.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Machine vision systems offer great potential in a large number of areas of manufacturing industry and are used principally for Automated Visual Inspection and Robot Vision. This title discusses techniques which have been developed for designing machines for use in industrial inspection and robot control, focusing on software and algorithms.
Автор: Peter Mowforth Название: BMVC91 ISBN: 354019715X ISBN-13(EAN): 9783540197157 Издательство: Springer Рейтинг: Цена: 113190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Jorge L.C. Sanz Название: Image Technology ISBN: 3540583068 ISBN-13(EAN): 9783540583066 Издательство: Springer Рейтинг: Цена: 222670.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Takeo Kanade Название: Three-Dimensional Machine Vision ISBN: 0898381886 ISBN-13(EAN): 9780898381887 Издательство: Springer Рейтинг: Цена: 306530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Takashi Matsuyama; Vincent Shang-Shouq Hwang Название: SIGMA ISBN: 030643301X ISBN-13(EAN): 9780306433016 Издательство: Springer Рейтинг: Цена: 139710.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: It has long been a dream to realize machines with flexible visual perception capability. Research on digital image processing by computers was initiated about 30 years ago, and since then a wide variety of image processing algorithms have been devised. Using such image processing algorithms and advanced hardware technologies, many practical ma- chines with visual recognition capability have been implemented and are used in various fields: optical character readers and design chart readers in offices, position-sensing and inspection systems in factories, computer tomography and medical X-ray and microscope examination systems in hospitals, and so on. Although these machines are useful for specific tasks, their capabilities are limited. That is, they can analyze only simple images which are recorded under very carefully adjusted photographic conditions: objects to be recognized are isolated against a uniform background and under well-controlled artificial lighting. In the late 1970s, many image understanding systems were de- veloped to study the automatic interpretation of complex natural scenes. They introduced artificial intelligence techniques to represent the knowl- edge about scenes and to realize flexible control structures. The first author developed an automatic aerial photograph interpretation system based on the blackboard model (Naga1980). Although these systems could analyze fairly complex scenes, their capabilities were still limited; the types of recognizable objects were limited and various recognition vii viii Preface errors occurred due to noise and the imperfection of segmentation algorithms.
Автор: Bruce Batchelor; Frederick Waltz Название: Intelligent Machine Vision ISBN: 3540762248 ISBN-13(EAN): 9783540762249 Издательство: Springer Рейтинг: Цена: 144410.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Takeo Kanade Название: Three-Dimensional Machine Vision ISBN: 1461291844 ISBN-13(EAN): 9781461291848 Издательство: Springer Рейтинг: Цена: 306530.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Jorge L.C. Sanz Название: Advances in Machine Vision ISBN: 0387968229 ISBN-13(EAN): 9780387968223 Издательство: Springer Рейтинг: Цена: 135050.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Paul F. Whelan; Derek Molloy Название: Machine Vision Algorithms in Java ISBN: 1447110668 ISBN-13(EAN): 9781447110668 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents key machine vision techniques and algorithms, along with the associated Java source code. Java source code for a wide range of real-world image processing and analysis functions; an introduction to the Java 2D imaging and Java Advanced Imaging (JAI) API;
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