Computer and Machine Vision

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  • Publisher : Academic Press
  • Release : 05 March 2012
  • ISBN : 9780123869081
  • Page : 912 pages
  • Rating : 5/5 from 1 voters

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Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision) clearly and systematically presents the basic methodology of computer and machine vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fourth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date tutorial text suitable for graduate students, researchers and R&D engineers working in this vibrant subject. Key features include: Practical examples and case studies give the 'ins and outs' of developing real-world vision systems, giving engineers the realities of implementing the principles in practice. New chapters containing case studies on surveillance and driver assistance systems give practical methods on these cutting-edge applications in computer vision. Necessary mathematics and essential theory are made approachable by careful explanations and well-illustrated examples. Updated content and new sections cover topics such as human iris location, image stitching, line detection using RANSAC, performance measures, and hyperspectral imaging. The 'recent developments' section now included in each chapter will be useful in bringing students and practitioners up to date with the subject. Roy Davies is Emeritus Professor of Machine Vision at Royal Holloway, University of London. He has worked on many aspects of vision, from feature detection to robust, real-time implementations of practical vision tasks. His interests include automated visual inspection, surveillance, vehicle guidance and crime detection. He has published more than 200 papers, and three books - Machine Vision: Theory, Algorithms, Practicalities (1990), Electronics, Noise and Signal Recovery (1993), and Image Processing for the Food Industry (2000); the first of these has been widely used internationally for more than 20 years, and is now out in this much enhanced fourth edition. Roy holds a DSc at the University of London, and has been awarded Distinguished Fellow of the British Machine Vision Association, and Fellow of the International Association of Pattern Recognition.

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Computer and Machine Vision

Computer and Machine Vision
  • Author : E. R. Davies
  • Publisher : Academic Press
  • Release Date : 2012-03-05
  • ISBN : 9780123869081
GET THIS BOOKComputer and Machine Vision

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

Computer and Machine Vision

Computer and Machine Vision
  • Author : E. R. Davies
  • Publisher : Academic Press
  • Release Date : 2012-04-18
  • ISBN : 9780123869913
GET THIS BOOKComputer and Machine Vision

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

Machine Vision

Machine Vision
  • Author : E. R. Davies
  • Publisher : Elsevier
  • Release Date : 2004-12-22
  • ISBN : 9780080473246
GET THIS BOOKMachine Vision

In the last 40 years, machine vision has evolved into a mature field embracing a wide range of applications including surveillance, automated inspection, robot assembly, vehicle guidance, traffic monitoring and control, signature verification, biometric measurement, and analysis of remotely sensed images. While researchers and industry specialists continue to document their work in this area, it has become increasingly difficult for professionals and graduate students to understand the essential theory and practicalities well enough to design their own algorithms and systems. This

Computer Vision

Computer Vision
  • Author : E. R. Davies
  • Publisher : Academic Press
  • Release Date : 2017-11-15
  • ISBN : 9780128095751
GET THIS BOOKComputer Vision

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

Practical Machine Learning for Computer Vision

Practical Machine Learning for Computer Vision
  • Author : Valliappa Lakshmanan,Martin Görner,Ryan Gillard
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2021-07-21
  • ISBN : 9781098102333
GET THIS BOOKPractical Machine Learning for Computer Vision

This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a great introduction to end-to-end deep learning: dataset creation, data preprocessing, model design, model training, evaluation, deployment, and interpretability. Google engineers Valliappa Lakshmanan, Martin Görner, and Ryan Gillard show you how

Advances in Machine Vision

Advances in Machine Vision
  • Author : Jorge L.C. Sanz
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • ISBN : 9781461245322
GET THIS BOOKAdvances in Machine Vision

Machine Vision technology is becoming an indispensible part of the manufacturing industry. Biomedical and scientific applications of machine vision and imaging are becoming more and more sophisticated, and new applications continue to emerge. This book gives an overview of ongoing research in machine vision and presents the key issues of scientific and practical interest. A selected board of experts from the US, Japan and Europe provides an insight into some of the latest work done on machine vision systems and

Handbook of Machine and Computer Vision

Handbook of Machine and Computer Vision
  • Author : Alexander Hornberg
  • Publisher : John Wiley & Sons
  • Release Date : 2017-03-07
  • ISBN : 9783527413430
GET THIS BOOKHandbook of Machine and Computer Vision

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

Computer Vision

Computer Vision
  • Author : Simon J. D. Prince
  • Publisher : Cambridge University Press
  • Release Date : 2012-06-18
  • ISBN : 9781107011793
GET THIS BOOKComputer Vision

A modern treatment focusing on learning and inference, with minimal prerequisites, real-world examples and implementable algorithms.

Machine Learning in Computer Vision

Machine Learning in Computer Vision
  • Author : Nicu Sebe,Ira Cohen,Ashutosh Garg,Thomas S. Huang
  • Publisher : Springer Science & Business Media
  • Release Date : 2006-03-30
  • ISBN : 9781402032752
GET THIS BOOKMachine Learning in Computer Vision

The goal of this book is to address the use of several important machine learning techniques into computer vision applications. An innovative combination of computer vision and machine learning techniques has the promise of advancing the field of computer vision, which contributes to better understanding of complex real-world applications. The effective usage of machine learning technology in real-world computer vision problems requires understanding the domain of application, abstraction of a learning problem from a given computer vision task, and the

Machine Vision Algorithms and Applications

Machine Vision Algorithms and Applications
  • Author : Carsten Steger,Markus Ulrich,Christian Wiedemann
  • Publisher : John Wiley & Sons
  • Release Date : 2018-03-12
  • ISBN : 9783527413652
GET THIS BOOKMachine Vision Algorithms and Applications

The second edition of this successful machine vision textbook is completely updated, revised and expanded by 35% to reflect the developments of recent years in the fields of image acquisition, machine vision algorithms and applications. The new content includes, but is not limited to, a discussion of new camera and image acquisition interfaces, 3D sensors and technologies, 3D reconstruction, 3D object recognition and state-of-the-art classification algorithms. The authors retain their balanced approach with sufficient coverage of the theory and a strong

Machine Vision

Machine Vision
  • Author : Fabio Solari,Manuela Chessa,Silvio P. Sabatini
  • Publisher : BoD – Books on Demand
  • Release Date : 2012-03-23
  • ISBN : 9789535103738
GET THIS BOOKMachine Vision

Vision plays a fundamental role for living beings by allowing them to interact with the environment in an effective and efficient way. The ultimate goal of Machine Vision is to endow artificial systems with adequate capabilities to cope with not a priori predetermined situations. To this end, we have to take into account the computing constraints of the hosting architectures and the specifications of the tasks to be accomplished, to continuously adapt and optimize the visual processing techniques. Nevertheless, by

Advanced Topics in Computer Vision

Advanced Topics in Computer Vision
  • Author : Giovanni Maria Farinella,Sebastiano Battiato,Roberto Cipolla
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-09-24
  • ISBN : 9781447155201
GET THIS BOOKAdvanced Topics in Computer Vision

This book presents a broad selection of cutting-edge research, covering both theoretical and practical aspects of reconstruction, registration, and recognition. The text provides an overview of challenging areas and descriptions of novel algorithms. Features: investigates visual features, trajectory features, and stereo matching; reviews the main challenges of semi-supervised object recognition, and a novel method for human action categorization; presents a framework for the visual localization of MAVs, and for the use of moment constraints in convex shape optimization; examines solutions

Handbook of Image Processing and Computer Vision

Handbook of Image Processing and Computer Vision
  • Author : Arcangelo Distante,Cosimo Distante
  • Publisher : Springer Nature
  • Release Date : 2020-05-28
  • ISBN : 9783030381486
GET THIS BOOKHandbook of Image Processing and Computer Vision

Across three volumes, the Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding. The authoritative insights presented within cover all aspects of the sensory subsystem required by an intelligent system to perceive the environment and act autonomously. Volume 1 (From Energy to Image) examines the formation, properties, and enhancement of a

Machine Vision

Machine Vision
  • Author : Wesley E. Snyder,Hairong Qi
  • Publisher : Cambridge University Press
  • Release Date : 2010-11-25
  • ISBN : 9781139489928
GET THIS BOOKMachine Vision

This 2004 book is an accessible and comprehensive introduction to machine vision. It provides all the necessary theoretical tools and shows how they are applied in actual image processing and machine vision systems. A key feature is the inclusion of many programming exercises that give insights into the development of practical image processing algorithms. The authors begin with a review of mathematical principles and go on to discuss key issues in image processing such as the description and characterization of images,

Machine Vision

Machine Vision
  • Author : E. R. Davies
  • Publisher : Elsevier
  • Release Date : 2014-07-10
  • ISBN : 9781483275611
GET THIS BOOKMachine Vision

Machine Vision: Theory, Algorithms, Practicalities covers the limitations, constraints, and tradeoffs of vision algorithms. This book is organized into four parts encompassing 21 chapters that tackle general topics, such as noise suppression, edge detection, principles of illumination, feature recognition, Bayes’ theory, and Hough transforms. Part 1 provides research ideas on imaging and image filtering operations, thresholding techniques, edge detection, and binary shape and boundary pattern analyses. Part 2 deals with the area of intermediate-level vision, the nature of the Hough transform, shape detection,