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Machine Vision Algorithms and Applications

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Release : 2018-03-12
Genre : Science
Kind : eBook
Book Rating : 650/5 ( reviews)

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Book Synopsis Machine Vision Algorithms and Applications by : Carsten Steger

Download or read book Machine Vision Algorithms and Applications written by Carsten Steger. This book was released on 2018-03-12. Available in PDF, EPUB and Kindle. Book excerpt: 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 focus on applications. All examples are based on the latest version of the machine vision software HALCON 13.

Machine Vision

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Author :
Release : 2004-12-22
Genre : Computers
Kind : eBook
Book Rating : 245/5 ( reviews)

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Book Synopsis Machine Vision by : E. R. Davies

Download or read book Machine Vision written by E. R. Davies. This book was released on 2004-12-22. Available in PDF, EPUB and Kindle. Book excerpt: 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 book directly addresses this need.As in earlier editions, E.R. Davies clearly and systematically presents the basic concepts of the field in highly accessible prose and images, covering essential elements of the theory while emphasizing algorithmic and practical design constraints. In this thoroughly updated edition, he divides the material into horizontal levels of a complete machine vision system. Application case studies demonstrate specific techniques and illustrate key constraints for designing real-world machine vision systems. · Includes solid, accessible coverage of 2-D and 3-D scene analysis.· Offers thorough treatment of the Hough Transform—a key technique for inspection and surveillance.· Brings vital topics and techniques together in an integrated system design approach.· Takes full account of the requirement for real-time processing in real applications.

Computer Vision

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Release : 2017-11-15
Genre : Computers
Kind : eBook
Book Rating : 75X/5 ( reviews)

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Book Synopsis Computer Vision by : E. R. Davies

Download or read book Computer Vision written by E. R. Davies. This book was released on 2017-11-15. Available in PDF, EPUB and Kindle. Book excerpt: 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++)

Computer Vision

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Release : 2012-06-18
Genre : Computers
Kind : eBook
Book Rating : 795/5 ( reviews)

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Book Synopsis Computer Vision by : Simon J. D. Prince

Download or read book Computer Vision written by Simon J. D. Prince. This book was released on 2012-06-18. Available in PDF, EPUB and Kindle. Book excerpt: A modern treatment focusing on learning and inference, with minimal prerequisites, real-world examples and implementable algorithms.

Computer Vision and Applications

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Release : 2000-05-24
Genre : Computers
Kind : eBook
Book Rating : 628/5 ( reviews)

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Book Synopsis Computer Vision and Applications by : Bernd Jahne

Download or read book Computer Vision and Applications written by Bernd Jahne. This book was released on 2000-05-24. Available in PDF, EPUB and Kindle. Book excerpt: Based on the highly successful 3-volume reference Handbook of Computer Vision and Applications, this concise edition covers in a single volume the entire spectrum of computer vision ranging form the imaging process to high-end algorithms and applications. This book consists of three parts, including an application gallery. Bridges the gap between theory and practical applications Covers modern concepts in computer vision as well as modern developments in imaging sensor technology Presents a unique interdisciplinary approach covering different areas of modern science

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