Book Image

Mastering OpenCV 4 - Third Edition

By : Roy Shilkrot, David Millán Escrivá
Book Image

Mastering OpenCV 4 - Third Edition

By: Roy Shilkrot, David Millán Escrivá

Overview of this book

Mastering OpenCV, now in its third edition, targets computer vision engineers taking their first steps toward mastering OpenCV. Keeping the mathematical formulations to a solid but bare minimum, the book delivers complete projects from ideation to running code, targeting current hot topics in computer vision such as face recognition, landmark detection and pose estimation, and number recognition with deep convolutional networks. You’ll learn from experienced OpenCV experts how to implement computer vision products and projects both in academia and industry in a comfortable package. You’ll get acquainted with API functionality and gain insights into design choices in a complete computer vision project. You’ll also go beyond the basics of computer vision to implement solutions for complex image processing projects. By the end of the book, you will have created various working prototypes with the help of projects in the book and be well versed with the new features of OpenCV4.
Table of Contents (12 chapters)

Augmented reality with jMonkeyEngine

Having calibrated the camera, we can proceed with implementing our AR application. We will make a very simple application that only shows a plain 3D box on top of the marker, using the jMonkeyEngine (JME) 3D rendering suite. JME is very feature-rich, and full-blown games are implemented using it (such as Rising World); we could extend our AR application into a real AR game with additional work. When looking over this chapter, the code needed to create a JME application is much more extensive than what we will see here, and the full code is available in the book's code repository.

To start, we need to provision JME to show the view from the camera behind the overlaid 3D graphics. We will create a texture to store the RGB image pixels, and a quad to show the texture. The quad will be rendered by an orthographic camera (without perspective...