Learning OpenCV, 2nd Edition

Preface

This book provides a working guide to the Open Source Computer Vision Library (OpenCV) and also

provides a general background to the field of computer vision sufficient to use OpenCV effectively.

Purpose

Computer vision is a rapidly growing field, partly as a result of both cheaper and more capable cameras,

partly because of affordable processing power, and partly because vision algorithms are starting to mature.

OpenCV itself has played a role in the growth of computer vision by enabling thousands of people to do

more productive work in vision. With its focus on real-time vision, OpenCV helps students and

professionals efficiently implement projects and jump-start research by providing them with a computer

vision and machine learning infrastructure that was previously available only in a few mature research labs.

The purpose of this text is to:

• Better document OpenCV—detail what function calling conventions really mean and how to use them

correctly.

• Rapidly give the reader an intuitive understanding of how the vision algorithms work.

• Give the reader some sense of what algorithm to use and when to use it.

• Give the reader a boost in implementing computer vision and machine learning algorithms by

providing many working coded examples to start from.

• Provide intuitions about how to fix some of the more advanced routines when something goes wrong.

Simply put, this is the text the authors wished we had in school and the ...