OpenCV Blueprints Joseph Howse
Publisher: Packt Publishing
The first is the pinhole camera model. Cover Text OpenCV is a native cross platform C++ Library for computer vision, machine learning, and image processing. Feature extraction Generally speaking, a feature is an interesting area of an image. Conventions In this book, you will find a number of text styles that distinguish between different kinds of information. The math Before we jump into the code, let's take an overview of the algorithm. Discover practical and interesting innovations in computer vision while building atop a mature open-source library, OpenCV 3. OpenCV 3 Blueprints Copyright © 2015 Packt Publishing All rights reserved. We will use the cascade classifier in OpenCV to detect the face location. In this section, we will show you a basic approach to detect faces in an image. Summary This chapter has been an opportunity to consider the inputs of a computer vision system at the hardware and software levels. A hybrid of hardware and software This chapter covers a hybrid solution between the original software-only approach and hardware devices. Let us know what you think about this book—what you liked or disliked. OpenCV 3 Blueprints Several types of boosting are supported by the OpenCV interface, but for convenience, we use the frequently used AdaBoost interface. No part of this book may be OpenCV 3 Blueprints. Reader feedback Feedback from our readers is always welcome.