Computer Vision: Principles, Algorithms, Applications, Learning - Rilegato

Davies, E. R.

Rilegato

ISBN 10: 012809284X ISBN 13: 9780128092842

Casa editrice: Academic Pr, 2017

Riassunto

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 applicationsincluding the location of biscuits, foreign bodies, faces, eyes, road lanes, surveillance, vehicles and pedestriansgive 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 examplescode, methods, illustrations, tasks, hints and solutions (mainly involving MATLAB and C++)

Su questo libro

Informazioni sull?autore

Roy Davies was Emeritus Professor of Machine Vision at Royal Holloway, University of London. He worked on many aspects of vision, from feature detection to robust, real-time implementations of practical vision tasks. His interests included automated visual inspection, surveillance, vehicle guidance, crime detection and neural networks. He has published more than 200 papers, and three books. Machine Vision: Theory, Algorithms, Practicalities (1990) has been widely used internationally for more than 25 years, and is now out in this much enhanced fifth edition. Roy held a DSc at the University of London and was awarded Distinguished Fellow of the British Machine Vision Association, and Fellow of the International Association of Pattern Recognition.

Dalla quarta di copertina

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.

Key features include:

Three new chapters on Machine Learning

emphasise the way the subject has been developing:

Two chapters cover Basic Classification Concepts and Probabilistic Models.

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 applicationsincluding the location of biscuits, foreign bodies, faces, eyes, road lanes, surveillance, vehicles and pedestriansgive 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 examplescode, methods, illustrations, tasks, hints and solutions (mainly involving MATLAB and C++)

Dettagli dell?edizione

• Editore: Academic Pr
• Data di pubblicazione: 2017
• Lingua: Inglese
• ISBN 10: 012809284X
• ISBN 13: 9780128092842
• Rilegatura: Copertina rigida
• Numero edizione: 5
• Numero di pagine: 858
• Contatto del produttore: non disponibile