We study OpenCV 3

Development of computer vision programs on C ++ using the OpenCV library
This practical guide will help you begin the development of rapidly developing discipline of computer vision. Written by Adrian Caler and Gary Bradski, the creator of the OpenCV library with open source, this book is a detailed introduction to the subject and is intended for developers, researchers, robotics and amateur enthusiasts. You will learn how to create applications that allow computers to "see" and make decisions based on the data obtained.
The OpenCV library, which has over 500 functions, is used in a variety of commercial applications: protection, processing of medical images, recognition of images and persons, robotics, factory product quality control. After reading this book, you can confidently navigate computer vision and OpenCV and create both simple and more sophisticated applications. Exercises at the end of each chapter will help control the assimilation of knowledge.
The book shows the whole library in its modern embodiment in C ++, including machine learning in the context of computer vision.
The book discusses the following topics:
- data types in OpenCV, arrays and operations with arrays,
- capture and conservation of data from photo and video cameras from
help the library HighGui,
- Image transformations: stretching, compression, deformation, transformation of the coordinate system, correction,
- recognition of images, including persons,
- accompaniment of objects and traffic tracking,
- reconstruction of three-dimensional images according to stereo,
- simple and more modern methods of machine learning