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  • Book Overview & Buying Mastering OpenCV 3
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Mastering OpenCV 3

Mastering OpenCV 3 - Second Edition

By : Jason Saragih
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Mastering OpenCV 3

Mastering OpenCV 3

By: Jason Saragih

Overview of this book

As we become more capable of handling data in every kind, we are becoming more reliant on visual input and what we can do with those self-driving cars, face recognition, and even augmented reality applications and games. This is all powered by Computer Vision. This book will put you straight to work in creating powerful and unique computer vision applications. Each chapter is structured around a central project and deep dives into an important aspect of OpenCV such as facial recognition, image target tracking, making augmented reality applications, the 3D visualization framework, and machine learning. You’ll learn how to make AI that can remember and use neural networks to help your applications learn. By the end of the book, you will have created various working prototypes with the projects in the book and will be well versed with the new features of OpenCV3.
Table of Contents (7 chapters)
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Summary

This chapter has shown several different types of image processing filters that can be used to generate various cartoon effects, from a plain sketch mode that looks like a pencil drawing, a paint mode that looks like a color painting, to a cartoon mode that overlays the Sketch mode on top of the paint mode to appear like a cartoon. It also shown that other fun effects can be obtained, such as the evil mode that greatly enhanced noisy edges, and the alien mode that changed the skin of a face to appear bright green.

There are many commercial smartphone apps that perform similar fun effects on the user's face, such as cartoon filters and skin color changers. There are also professional tools using similar concepts, such as skin-smoothing video post-processing tools that attempt to beautify women's faces by smoothing their skin while keeping the edges and non-skin regions sharp, in order to make their faces appear younger.

This chapter shows how to port the application from a desktop to an embedded system, by following the recommended guidelines of developing a working desktop version first, and then porting it to embedded, and creating a user interface that is suitable for the embedded application. The image processing code is shared between the two projects, so that the reader can modify the cartoon filters for the desktop application, and easily see those modifications in the embedded system as well.

Remember that this book includes an OpenCV installation script for Linux and full source code for all projects discussed.

CONTINUE READING
83
Tech Concepts
36
Programming languages
73
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Mastering OpenCV 3
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