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OpenCV By Example

You're reading from OpenCV By Example Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3

Product type Paperback

Published in Jan 2016

Publisher Packt

ISBN-13 9781785280948

Length 296 pages

Edition 1st Edition

Languages

C++

Tools

OpenCV

Concepts

Computer Vision

Authors (3):

Vinícius G. Mendonça

David Millán Escrivá

Prateek Joshi

View More author details

Table of Contents (13) Chapters

Preface

1. Getting Started with OpenCV

2. An Introduction to the Basics of OpenCV FREE CHAPTER

3. Learning the Graphical User Interface and Basic Filtering

4. Delving into Histograms and Filters

5. Automated Optical Inspection, Object Segmentation, and Detection

6. Learning Object Classification

7. Detecting Face Parts and Overlaying Masks

8. Video Surveillance, Background Modeling, and Morphological Operations

9. Learning Object Tracking

10. Developing Segmentation Algorithms for Text Recognition

11. Text Recognition with Tesseract

Index

Preface

OpenCV is one of the most popular libraries used to develop Computer Vision applications. It enables us to run many different Computer Vision algorithms in real time. It has been around for many years, and it has become the standard library in this field. One of the main advantages of OpenCV is that it is highly optimized and available on almost all the platforms.

This book starts off by giving a brief introduction of various fields in Computer Vision and the associated OpenCV functionalities in C++. Each chapter contains real-world examples and code samples to demonstrate the use cases. This helps you to easily grasp the topics and understand how they can be applied in real life. To sum it up, this is a practical guide on how to use OpenCV in C++ and build various applications using this library.

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Authors (3)

Millán Escrivá

Millán Escrivá

David Millán Escrivá was 8 years old when he wrote his first program on an 8086 PC in Basic, which enabled the 2D plotting of basic equations. In 2005, he finished his studies in IT with honors, through the Universitat Politécnica de Valencia, in human-computer interaction supported by computer vision with OpenCV (v0.96). He has worked with Blender, an open source, 3D software project, and on its first commercial movie, Plumiferos, as a computer graphics software developer. David has more than 10 years' experience in IT, with experience in computer vision, computer graphics, pattern recognition, and machine learning, working on different projects, and at different start-ups, and companies. He currently works as a researcher in computer vision.

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Joshi

Joshi

Vijay Joshi is a full stack web developer having more than a decade of experience in working with PHP and JavaScript.

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Vinícius G. Mendonça

Vinícius G. Mendonça

Vinícius G. Mendonça is a professor at PUCPR and a mentor at Apple Developer Academy. He has a master's degree in Computer Vision and Image Processing (PUCPR) and a specialization degree in Game Development (Universidade Positivo). He is also one of the authors of the book Learn OpenCV 4 by Building Projects, also by Packt Publishing. He has been in this field since 1996. His former experience includes designing and programming a multithreaded framework for PBX tests at Siemens, coordination of Aurélio Dictionary software (including its apps for Android, IOS, and Windows phones), and coordination of an augmented reality educational activity for Positivo's Mesa Alfabeto, presented at CEBIT. Currently, he works with server-side Node.js at a company called Tenet Tech.

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