Book Image

OpenCV Computer Vision Application Programming Cookbook Second Edition

By : Robert Laganiere
Book Image

OpenCV Computer Vision Application Programming Cookbook Second Edition

By: Robert Laganiere

Overview of this book

OpenCV 3 Computer Vision Application Programming Cookbook is appropriate for novice C++ programmers who want to learn how to use the OpenCV library to build computer vision applications. It is also suitable for professional software developers wishing to be introduced to the concepts of computer vision programming. It can also be used as a companion book in a university-level computer vision courses. It constitutes an excellent reference for graduate students and researchers in image processing and computer vision.
Table of Contents (18 chapters)
OpenCV Computer Vision Application Programming Cookbook Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Detecting features quickly


The Harris operator proposed a formal mathematical definition for corners (or more generally, interest points) based on the rate of intensity changes in two perpendicular directions. Although this constitutes a sound definition, it requires the computation of the image derivatives, which is a costly operation, especially considering the fact that interest point detection is often just the first step in a more complex algorithm.

In this recipe, we present another feature point operator, called FAST (Features from Accelerated Segment Test). This one has been specifically designed to allow quick detection of interest points in an image; the decision to accept or not to accept a keypoint is based on only a few pixel comparisons.

How to do it...

Using the OpenCV 2 common interface for feature point detection makes the deployment of any feature point detectors easy. The detector presented in this recipe is the FAST detector. As the name suggests, it has been designed to...