Vision Par Ordinateur

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Computer Vision in Medical Imaging

Author : Chi-hau Chen
Publisher : World Scientific
ISBN 13 : 981446094X
Total Pages : 410 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Computer Vision in Medical Imaging by : Chi-hau Chen

Download or read book Computer Vision in Medical Imaging written by Chi-hau Chen and published by World Scientific. This book was released on 2013-11-18 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: The major progress in computer vision allows us to make extensive use of medical imaging data to provide us better diagnosis, treatment and predication of diseases. Computer vision can exploit texture, shape, contour and prior knowledge along with contextual information from image sequence and provide 3D and 4D information that helps with better human understanding. Many powerful tools have been available through image segmentation, machine learning, pattern classification, tracking, reconstruction to bring much needed quantitative information not easily available by trained human specialists. The aim of the book is for both medical imaging professionals to acquire and interpret the data, and computer vision professionals to provide enhanced medical information by using computer vision techniques. The final objective is to benefit the patients without adding to the already high medical costs.

Color in Computer Vision

Author : Theo Gevers
Publisher : John Wiley & Sons
ISBN 13 : 1118350065
Total Pages : 315 pages
Book Rating : 4.1/5 (183 download)

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Book Synopsis Color in Computer Vision by : Theo Gevers

Download or read book Color in Computer Vision written by Theo Gevers and published by John Wiley & Sons. This book was released on 2012-08-14 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: While the field of computer vision drives many of today’s digital technologies and communication networks, the topic of color has emerged only recently in most computer vision applications. One of the most extensive works to date on color in computer vision, this book provides a complete set of tools for working with color in the field of image understanding. Based on the authors’ intense collaboration for more than a decade and drawing on the latest thinking in the field of computer science, the book integrates topics from color science and computer vision, clearly linking theories, techniques, machine learning, and applications. The fundamental basics, sample applications, and downloadable versions of the software and data sets are also included. Clear, thorough, and practical, Color in Computer Vision explains: Computer vision, including color-driven algorithms and quantitative results of various state-of-the-art methods Color science topics such as color systems, color reflection mechanisms, color invariance, and color constancy Digital image processing, including edge detection, feature extraction, image segmentation, and image transformations Signal processing techniques for the development of both image processing and machine learning Robotics and artificial intelligence, including such topics as supervised learning and classifiers for object and scene categorization Researchers and professionals in computer science, computer vision, color science, electrical engineering, and signal processing will learn how to implement color in computer vision applications and gain insight into future developments in this dynamic and expanding field.

Deep Learning in Computer Vision

Author : Mahmoud Hassaballah
Publisher : CRC Press
ISBN 13 : 135100381X
Total Pages : 322 pages
Book Rating : 4.3/5 (51 download)

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Book Synopsis Deep Learning in Computer Vision by : Mahmoud Hassaballah

Download or read book Deep Learning in Computer Vision written by Mahmoud Hassaballah and published by CRC Press. This book was released on 2020-03-23 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved or partially addressed. This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic, introduces reviews of up-to-date techniques, and presents research findings to the computer vision community. The book covers a broad scope of topics in deep learning concepts and applications such as accelerating the convolutional neural network inference on field-programmable gate arrays, fire detection in surveillance applications, face recognition, action and activity recognition, semantic segmentation for autonomous driving, aerial imagery registration, robot vision, tumor detection, and skin lesion segmentation as well as skin melanoma classification. The content of this book has been organized such that each chapter can be read independently from the others. The book is a valuable companion for researchers, for postgraduate and possibly senior undergraduate students who are taking an advanced course in related topics, and for those who are interested in deep learning with applications in computer vision, image processing, and pattern recognition.

Theoretical Foundations of Computer Vision

Author : Walter Kropatsch
Publisher : Springer Science & Business Media
ISBN 13 : 3709165865
Total Pages : 260 pages
Book Rating : 4.7/5 (91 download)

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Book Synopsis Theoretical Foundations of Computer Vision by : Walter Kropatsch

Download or read book Theoretical Foundations of Computer Vision written by Walter Kropatsch and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Vision is a rapidly growing field of research investigating computational and algorithmic issues associated with image acquisition, processing, and understanding. It serves tasks like manipulation, recognition, mobility, and communication in diverse application areas such as manufacturing, robotics, medicine, security and virtual reality. This volume contains a selection of papers devoted to theoretical foundations of computer vision covering a broad range of fields, e.g. motion analysis, discrete geometry, computational aspects of vision processes, models, morphology, invariance, image compression, 3D reconstruction of shape. Several issues have been identified to be of essential interest to the community: non-linear operators; the transition between continuous to discrete representations; a new calculus of non-orthogonal partially dependent systems.

Computer Vision

Author : Roger Boyle
Publisher : Wiley-Blackwell
ISBN 13 :
Total Pages : 226 pages
Book Rating : 4.4/5 (91 download)

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Book Synopsis Computer Vision by : Roger Boyle

Download or read book Computer Vision written by Roger Boyle and published by Wiley-Blackwell. This book was released on 1988 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computer Vision and Image Processing

Author : Manas Kamal Bhuyan
Publisher : CRC Press
ISBN 13 : 1351248383
Total Pages : 442 pages
Book Rating : 4.3/5 (512 download)

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Book Synopsis Computer Vision and Image Processing by : Manas Kamal Bhuyan

Download or read book Computer Vision and Image Processing written by Manas Kamal Bhuyan and published by CRC Press. This book was released on 2019-11-05 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book familiarizes readers with fundamental concepts and issues related to computer vision and major approaches that address them. The focus of the book is on image acquisition and image formation models, radiometric models of image formation, image formation in the camera, image processing concepts, concept of feature extraction and feature selection for pattern classification/recognition, and advanced concepts like object classification, object tracking, image-based rendering, and image registration. Intended to be a companion to a typical teaching course on computer vision, the book takes a problem-solving approach.

Computer Vision

Author : Dana Harry Ballard
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 556 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Computer Vision by : Dana Harry Ballard

Download or read book Computer Vision written by Dana Harry Ballard and published by Prentice Hall. This book was released on 1982 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt:

An Introduction to 3D Computer Vision Techniques and Algorithms

Author : Boguslaw Cyganek
Publisher : John Wiley & Sons
ISBN 13 : 1119964474
Total Pages : 485 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis An Introduction to 3D Computer Vision Techniques and Algorithms by : Boguslaw Cyganek

Download or read book An Introduction to 3D Computer Vision Techniques and Algorithms written by Boguslaw Cyganek and published by John Wiley & Sons. This book was released on 2011-08-10 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer vision encompasses the construction of integrated vision systems and the application of vision to problems of real-world importance. The process of creating 3D models is still rather difficult, requiring mechanical measurement of the camera positions or manual alignment of partial 3D views of a scene. However using algorithms, it is possible to take a collection of stereo-pair images of a scene and then automatically produce a photo-realistic, geometrically accurate digital 3D model. This book provides a comprehensive introduction to the methods, theories and algorithms of 3D computer vision. Almost every theoretical issue is underpinned with practical implementation or a working algorithm using pseudo-code and complete code written in C++ and MatLab®. There is the additional clarification of an accompanying website with downloadable software, case studies and exercises. Organised in three parts, Cyganek and Siebert give a brief history of vision research, and subsequently: present basic low-level image processing operations for image matching, including a separate chapter on image matching algorithms; explain scale-space vision, as well as space reconstruction and multiview integration; demonstrate a variety of practical applications for 3D surface imaging and analysis; provide concise appendices on topics such as the basics of projective geometry and tensor calculus for image processing, distortion and noise in images plus image warping procedures. An Introduction to 3D Computer Vision Algorithms and Techniques is a valuable reference for practitioners and programmers working in 3D computer vision, image processing and analysis as well as computer visualisation. It would also be of interest to advanced students and researchers in the fields of engineering, computer science, clinical photography, robotics, graphics and mathematics.

Computer Vision: A Modern Approach

Author : David A. Forsyth
Publisher : Pearson Higher Ed
ISBN 13 : 1292014083
Total Pages : 793 pages
Book Rating : 4.2/5 (92 download)

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Book Synopsis Computer Vision: A Modern Approach by : David A. Forsyth

Download or read book Computer Vision: A Modern Approach written by David A. Forsyth and published by Pearson Higher Ed. This book was released on 2015-01-23 with total page 793 pages. Available in PDF, EPUB and Kindle. Book excerpt: Appropriate for upper-division undergraduate- and graduate-level courses in computer vision found in departments of Computer Science, Computer Engineering and Electrical Engineering. This textbook provides the most complete treatment of modern computer vision methods by two of the leading authorities in the field. This accessible presentation gives both a general view of the entire computer vision enterprise and also offers sufficient detail for students to be able to build useful applications. Students will learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods.

Computer Vision Beyond the Visible Spectrum

Author : Bir Bhanu
Publisher : Springer Science & Business Media
ISBN 13 : 9781852336042
Total Pages : 340 pages
Book Rating : 4.3/5 (36 download)

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Book Synopsis Computer Vision Beyond the Visible Spectrum by : Bir Bhanu

Download or read book Computer Vision Beyond the Visible Spectrum written by Bir Bhanu and published by Springer Science & Business Media. This book was released on 2005-01-04 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently, there has been a dramatic increase in the use of sensors in the non-visible bands. As a result, there is a need for existing computer vision methods and algorithms to be adapted for use with non-visible sensors, or for the development of completely new methods and systems. Computer Vision Beyond the Visible Spectrum is the first book to bring together state-of-the-art work in this area. It presents new & pioneering research across the electromagnetic spectrum in the military, commercial, and medical domains. By providing a detailed examination of each of these areas, it focuses on the development of state-of-the-art algorithms and looks at how they can be used to solve existing & new challenges within computer vision. Essential reading for academics & industrial researchers working in the area of computer vision, image processing, and medical imaging, it will also be useful background reading for advanced undergraduate & postgraduate students.

Vision par ordinateur

Author : Fouad Sabry
Publisher : One Billion Knowledgeable
ISBN 13 :
Total Pages : 130 pages
Book Rating : 4.:/5 (661 download)

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Book Synopsis Vision par ordinateur by : Fouad Sabry

Download or read book Vision par ordinateur written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2024-04-27 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: Qu'est-ce que la vision par ordinateur Les tâches de vision par ordinateur incluent des méthodes d'acquisition, de traitement, d'analyse et de compréhension d'images numériques, ainsi que l'extraction de données de grande dimension à partir du monde réel afin de fournir des informations numériques ou symboliques, par exemple sous forme de jugements. Dans le contexte de cette discussion, la compréhension fait référence au processus de transformation d’images visuelles en descriptions de l’environnement compréhensibles aux processus de réflexion et capables d’évoquer une action appropriée. Il est possible d'interpréter cette compréhension d'image comme le processus d'extraction d'informations symboliques à partir de données d'image en utilisant des modèles qui ont été créés avec l'aide de l'apprentissage de la théorie, de la géométrie, de la physique et de l'informatique. Comment vous en bénéficierez (I) Informations et validations sur les sujets suivants : Chapitre 1 : Vision par ordinateur Chapitre 2 : Vision industrielle Chapitre 3 : Analyse d'image Chapitre 4 : Segmentation d'image Chapitre 5 : Flux optique Chapitre 6 : Mouvement détection Chapitre 7 : Reconnaissance gestuelle Chapitre 8 : Pose (vision par ordinateur) Chapitre 9 : Rita Cucchiara Chapitre 10 : Caméras stéréo (II) Répondre aux principales questions du public sur la vision par ordinateur. (III) Exemples concrets d'utilisation de la vision par ordinateur dans de nombreux domaines. À qui s'adresse ce livre Les professionnels, les étudiants de premier cycle et des cycles supérieurs, les passionnés, les amateurs et ceux qui souhaitent aller au-delà des connaissances ou des informations de base pour tout type de vision par ordinateur.

Vision par ordinateur en deux et trois dimensions

Author : Jacques E. Besancon
Publisher :
ISBN 13 : 9782212081954
Total Pages : 411 pages
Book Rating : 4.0/5 (819 download)

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Book Synopsis Vision par ordinateur en deux et trois dimensions by : Jacques E. Besancon

Download or read book Vision par ordinateur en deux et trois dimensions written by Jacques E. Besancon and published by . This book was released on 1988 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Foundations of Computer Vision

Author : James F. Peters
Publisher : Springer
ISBN 13 : 9783319524818
Total Pages : 0 pages
Book Rating : 4.5/5 (248 download)

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Book Synopsis Foundations of Computer Vision by : James F. Peters

Download or read book Foundations of Computer Vision written by James F. Peters and published by Springer. This book was released on 2017-03-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the fundamentals of computer vision (CV), with a focus on extracting useful information from digital images and videos. Including a wealth of methods used in detecting and classifying image objects and their shapes, it is the first book to apply a trio of tools (computational geometry, topology and algorithms) in solving CV problems, shape tracking in image object recognition and detecting the repetition of shapes in single images and video frames. Computational geometry provides a visualization of topological structures such as neighborhoods of points embedded in images, while image topology supplies us with structures useful in the analysis and classification of image regions. Algorithms provide a practical, step-by-step means of viewing image structures. The implementations of CV methods in Matlab and Mathematica, classification of chapter problems with the symbols (easily solved) and (challenging) and its extensive glossary of key words, examples and connections with the fabric of CV make the book an invaluable resource for advanced undergraduate and first year graduate students in Engineering, Computer Science or Applied Mathematics. It offers insights into the design of CV experiments, inclusion of image processing methods in CV projects, as well as the reconstruction and interpretation of recorded natural scenes.

Learn Computer Vision Using OpenCV

Author : Sunila Gollapudi
Publisher :
ISBN 13 : 9781484242629
Total Pages : pages
Book Rating : 4.2/5 (426 download)

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Book Synopsis Learn Computer Vision Using OpenCV by : Sunila Gollapudi

Download or read book Learn Computer Vision Using OpenCV written by Sunila Gollapudi and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Build practical applications of computer vision using the OpenCV library with Python. This book discusses different facets of computer vision such as image and object detection, tracking and motion analysis and their applications with examples. The author starts with an introduction to computer vision followed by setting up OpenCV from scratch using Python. The next section discusses specialized image processing and segmentation and how images are stored and processed by a computer. This involves pattern recognition and image tagging using the OpenCV library. Next, you'll work with object detection, video storage and interpretation, and human detection using OpenCV. Tracking and motion is also discussed in detail. The book also discusses creating complex deep learning models with CNN and RNN. The author finally concludes with recent applications and trends in computer vision. After reading this book, you will be able to understand and implement computer vision and its applications with OpenCV using Python. You will also be able to create deep learning models with CNN and RNN and understand how these cutting-edge deep learning architectures work. What You Will Learn Understand what computer vision is, and its overall application in intelligent automation systems Discover the deep learning techniques required to build computer vision applications Build complex computer vision applications using the latest techniques in OpenCV, Python, and NumPy Create practical applications and implementations such as face detection and recognition, handwriting recognition, object detection, and tracking and motion analysis Who This Book Is For Those who have a basic understanding of machine learning and Python and are looking to learn computer vision and its applications.

Handbook of Machine and Computer Vision

Author : Alexander Hornberg
Publisher : John Wiley & Sons
ISBN 13 : 3527413391
Total Pages : 868 pages
Book Rating : 4.5/5 (274 download)

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Book Synopsis Handbook of Machine and Computer Vision by : Alexander Hornberg

Download or read book Handbook of Machine and Computer Vision written by Alexander Hornberg and published by John Wiley & Sons. This book was released on 2017-06-19 with total page 868 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of this accepted reference work has been updated to reflect the rapid developments in the field and now covers both 2D and 3D imaging. Written by expert practitioners from leading companies operating in machine vision, this one-stop handbook guides readers through all aspects of image acquisition and image processing, including optics, electronics and software. The authors approach the subject in terms of industrial applications, elucidating such topics as illumination and camera calibration. Initial chapters concentrate on the latest hardware aspects, ranging from lenses and camera systems to camera-computer interfaces, with the software necessary discussed to an equal depth in later sections. These include digital image basics as well as image analysis and image processing. The book concludes with extended coverage of industrial applications in optics and electronics, backed by case studies and design strategies for the conception of complete machine vision systems. As a result, readers are not only able to understand the latest systems, but also to plan and evaluate this technology. With more than 500 images and tables to illustrate relevant principles and steps.

Low-Power Computer Vision

Author : George K. Thiruvathukal
Publisher : CRC Press
ISBN 13 : 1000540928
Total Pages : 436 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Low-Power Computer Vision by : George K. Thiruvathukal

Download or read book Low-Power Computer Vision written by George K. Thiruvathukal and published by CRC Press. This book was released on 2022-02-22 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Energy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones). This book collects the methods that have won the annual IEEE Low-Power Computer Vision Challenges since 2015. The winners share their solutions and provide insight on how to improve the efficiency of machine learning systems.

Real-Time Vision for Human-Computer Interaction

Author : Branislav Kisacanin
Publisher : Springer Science & Business Media
ISBN 13 : 9780387276977
Total Pages : 324 pages
Book Rating : 4.2/5 (769 download)

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Book Synopsis Real-Time Vision for Human-Computer Interaction by : Branislav Kisacanin

Download or read book Real-Time Vision for Human-Computer Interaction written by Branislav Kisacanin and published by Springer Science & Business Media. This book was released on 2005-08-23 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: The need for natural and effective Human-Computer Interaction (HCI) is increasingly important due to the prevalence of computers in human activities. Computer vision and pattern recognition continue to play a dominant role in the HCI realm. However, computer vision methods often fail to become pervasive in the field due to the lack of real-time, robust algorithms, and novel and convincing applications. This state-of-the-art contributed volume is comprised of articles by prominent experts in computer vision, pattern recognition and HCI. It is the first published text to capture the latest research in this rapidly advancing field with exclusive focus on real-time algorithms and practical applications in diverse and numerous industries, and it outlines further challenges in these areas. Real-Time Vision for Human-Computer Interaction is an invaluable reference for HCI researchers in both academia and industry, and a useful supplement for advanced-level courses in HCI and Computer Vision.