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OpenCV 4 Computer Vision Application Programming Cookbook

You're reading from   OpenCV 4 Computer Vision Application Programming Cookbook Build complex computer vision applications with OpenCV and C++

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781789340723
Length 494 pages
Edition 4th Edition
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Authors (2):
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Robert Laganiere Robert Laganiere
Author Profile Icon Robert Laganiere
Robert Laganiere
David Millán Escrivá David Millán Escrivá
Author Profile Icon David Millán Escrivá
David Millán Escrivá
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Table of Contents (17) Chapters Close

Preface 1. Playing with Images FREE CHAPTER 2. Manipulating the Pixels 3. Processing Color Images with Classes 4. Counting the Pixels with Histograms 5. Transforming Images with Morphological Operations 6. Filtering the Images 7. Extracting Lines, Contours, and Components 8. Detecting Interest Points 9. Describing and Matching Interest Points 10. Estimating Projective Relations in Images 11. Reconstructing 3D Scenes 12. Processing Video Sequences 13. Tracking Visual Motion 14. Learning from Examples 15. OpenCV Advanced Features 16. Other Books You May Enjoy

Recognizing faces using the nearest neighbors of local binary patterns

Our first exploration of machine learning techniques will start with what is probably the simplest approach, namely, nearest neighbor classification. We will also present the local binary pattern (LBP) feature, which is a popular representation encoding the textural patterns and contours of an image in a contrasting and unique way.

Our illustrative example will concern the face recognition problem. This is a very challenging problem that has been the object of numerous researches over the past 20 years. The basic solution we present here is one of the face recognition methods that is implemented in OpenCV. You will quickly realize that this solution is not very robust and works only under very favorable conditions. Nevertheless, this approach constitutes an excellent introduction to machine learning and to...

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