Books › Computers & Technology › Graphics & Design

Computer Vision: Principles, Algorithms, Applications, Learning

Name: Computer Vision: Principles, Algorithms, Applications, Learning
Price: 83.04 USD
Availability: InStock
Rating: 4.8 (18 reviews)

4.8 of 5 Stars: Graphics & Design - Computer Vision: Principles, Algorithms, Applications, Learning

$83.04

Buying Options

Description

Book Synopsis: 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++)

Details

If you're looking to deepen your knowledge and understanding of computer vision, look no further than the fifth edition of "Computer Vision: Principles, Algorithms, Applications, Learning". This comprehensive and up-to-date text covers all the essential elements of computer vision theory, while also emphasizing algorithmic and practical design constraints. Whether you're an undergraduate or a graduate student, a researcher, or an R&D engineer, this book is a must-have resource.

One of the standout features of this edition is the inclusion of three new chapters on machine learning. These chapters explore topics such as basic classification concepts, probabilistic models, and the principles of deep learning networks. They provide valuable insights into how machine learning has revolutionized computer vision and offer practical examples, like face detection and recognition, to demonstrate its impact.

The book also delves into important topics like object segmentation and shape models, giving you a deeper understanding of the methodology of machine learning and its real-world applications. With discussions on key topics like geometric transformations, boosting, semantic segmentation, and RNNs, you'll gain the knowledge and tools needed to develop cutting-edge vision systems.

What sets this book apart is its focus on practical implementation. Through examples and applications in various domains - from locating biscuits and foreign bodies to detecting faces, eyes, road lanes, and pedestrians - you'll gain valuable insights into the complexities and challenges of developing real-world vision systems.

Whether you're a beginner or an experienced practitioner, "Computer Vision: Principles, Algorithms, Applications, Learning" is your guide to mastering the principles and applications of computer vision. Get your copy today and take your computer vision skills to the next level.

Click here to get your copy of "Computer Vision: Principles, Algorithms, Applications, Learning"

See All Buying Options...

More Details...