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 Shape Models


As mentioned earlier, AAMs require a shape model, and this role is played by Active Shape Models (ASMs). In the upcoming sections, we will create an ASM that is a statistical model of shape variation. The shape model is generated through the combination of shape variations. A training set of labeled images is required, as described in the article Active Shape Models--Their Training and Application, by Timothy Cootes. In order to build a face-shape model, several images marked with points on key positions of a face are required to outline the main features. The following screenshot shows such an example:

There are 76 landmarks on a face, which are taken from the MUCT dataset. These landmarks are usually marked up by hand, and they outline several face features such as mouth contour, nose, eyes, eyebrows, and face shape, since they are easier to track.

Note

Procrustes Analysis: A form of statistical shape analysis used to analyze the distribution of a set of shapes. Procrustes...