Book Image

OpenCV 4 with Python Blueprints - Second Edition

By : Dr. Menua Gevorgyan, Arsen Mamikonyan, Michael Beyeler
Book Image

OpenCV 4 with Python Blueprints - Second Edition

By: Dr. Menua Gevorgyan, Arsen Mamikonyan, Michael Beyeler

Overview of this book

OpenCV is a native cross-platform C++ library for computer vision, machine learning, and image processing. It is increasingly being adopted in Python for development. This book will get you hands-on with a wide range of intermediate to advanced projects using the latest version of the framework and language, OpenCV 4 and Python 3.8, instead of only covering the core concepts of OpenCV in theoretical lessons. This updated second edition will guide you through working on independent hands-on projects that focus on essential OpenCV concepts such as image processing, object detection, image manipulation, object tracking, and 3D scene reconstruction, in addition to statistical learning and neural networks. You’ll begin with concepts such as image filters, Kinect depth sensor, and feature matching. As you advance, you’ll not only get hands-on with reconstructing and visualizing a scene in 3D but also learn to track visually salient objects. The book will help you further build on your skills by demonstrating how to recognize traffic signs and emotions on faces. Later, you’ll understand how to align images, and detect and track objects using neural networks. By the end of this OpenCV Python book, you’ll have gained hands-on experience and become proficient at developing advanced computer vision apps according to specific business needs.
Table of Contents (14 chapters)
11
Profiling and Accelerating Your Apps
12
Setting Up a Docker Container

Learning about structure from motion

So far in this chapter, we have gone through some math and we can reconstruct the depth of a scene based on a couple of images taken from different angles, which is a problem of reconstruction of a 3D structure from camera motion.

In computer vision, the process of reconstruction of 3D structures of the scene based on the sequence of images is usually referred to as structure from motion. A similar set of problems is the structure from stereo vision—in reconstruction from stereo vision, there are two cameras, located at a certain distance from each other and in structure from motion, there are different images taken from different angles and positions. There's not much difference conceptually, right?

Let's think about human vision. People are good at estimating distance and relative locations of objects. A person doesn&apos...