Book Image

Mastering OpenCV 3 - Second Edition

By : Saragih
Book Image

Mastering OpenCV 3 - Second Edition

By: 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)

Active Appearance Models overview

In few words, Active Appearance Models are a nice model parameterization of combined texture and shape, coupled to an efficient search algorithm that can tell exactly where and how a model is located in a picture frame. In order to do this, we will start with the Active Shape Models section and see that they are more closely related to landmark positions. A Principal Component Analysis and some hands-on experience will be better described in the following sections. Then, we will be able to get some help from OpenCV's Delaunay functions and learn some triangulation. From that, we will evolve to applying piecewise affine warps in the triangle texture warping section, where we can get information from an object's texture.

As we get enough background to build a good model, we can play with the techniques in the model instantiation section. We will then be able to solve the...