A Practical Introduction to Computer Vision with OpenCV

A Practical Introduction to Computer Vision with OpenCV



A Practical Introduction to Computer Vision with OpenCV

Author(s): Kenneth Dawson-Howe
Series: Wiley-IS&T Series in Imaging Science and Technology
Publisher: Wiley, Year: 2014
ISBN: 1118848454,9781118848456

Describe:


It explains the theory behind basic computer vision and provides a bridge from theory to practice using industry-standard OpenCV libraries Computer Vision is a rapidly expanding field, and it has become easier for developers to take advantage of this field due to the easy availability of high-quality libraries (such as OpenCV 2).

This text aims to facilitate the practical use of computer vision in order to bridge the gap between theory and the practical application of computer vision. The book will explain how to use relevant OpenCV library procedures and be accompanied by a complete work program including code snippets of text. This book is a hugely pictorial introduction to an exciting field, whose applications are almost ubiquitous. We are now surrounded by cameras, for example computers on tablets and tablets / cameras built into our mobile phones / cameras in game consoles Cameras depicting difficult ways (such as ultrasound, x-rays and MRIs) in hospitals and surveillance cameras. This book is concerned with helping the next generation of computer developers to take advantage of all these images to develop easier systems and interact with us in smarter ways.

Electronic resources


Electronic resources accompanying this text:
 Code examples of text with images created from code to give an idea
To handle every section of the code.
 Powerpoint slides for each of the chapters.
 The media (photos and videos) for each of the app issues in Chapter 10 of
Book.
 Links to information about OpenCV.
Resources are available at https://www.scss.tcd.ie/publications/book-supplements/APractical-Introduction-to-Computer-Vision-with-OpenCV and (a shorter alternative)
Who redirects to the page above) https://www.scss.tcd.ie/Kenneth.Dawson-Howe/
Practical book


Teaching computer vision using this text


The computer vision course based on this text consists of approximately 22-28 lectures of one hour duration
Along with lessons and laboratories. The expected lecture hours according to subject are as follows:

 Introduction: 1-2 hours
 Photo (2.1 cameras - 2.3 color photos): two hours
 Pictures (2.4 noise - 2.5 smoothing): 2 hours
 Histogram (Chapter 3): 2 hours
 Dual Vision (Chapter 4): 2-3 hours
 Engineering Transitions (Chapter Five): 1-2 hours
 Edges (6.1 edge detection): 2 hours
 Edges (6.2 contour segmentation): 1-2 hours
 Edges (6.3 hardness conversion): 1-2 hours
 Features (7.1 Moravec angle detection - 7.3 Quick corner detection): 1 hour
 Features (7.4 SIFT): 1 hour
 Recognition (8.1 matching template and 8.2 matching chamfering): 1 hour

Recognition (8.3 recognition of statistical patterns): 1 hour
 Recognition (8.4 Har waterfall compositions): 1 hour
 Recognition (8.6 performance): 1 hour
 Video (Chapter 9): 2-3 hours
For tutorials, it is suggested that the class be divided into groups of three or four students (All in one large place) and groups should be asked to come up with solutions Some of the vision problems in Chapter 10 (using the vision techniques they learned).
The goal is for students to discuss how to solve problems, and to devise methods
From combining the techniques they have learned to solve. There are more than
One solution to all problems, so some groups must provide their solutions for
The chapter and minutes should discuss the suitability of the solutions. For the coefficient and For appointments, the same problems can be used as OpenCV provides the functions that allow them Students have initial solutions to these problems.



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