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OpenCV 3 Blueprints

You're reading from   OpenCV 3 Blueprints Expand your knowledge of computer vision by building amazing projects with OpenCV 3

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Product type Paperback
Published in Nov 2015
Publisher
ISBN-13 9781784399757
Length 382 pages
Edition 1st Edition
Tools
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Toc

Table of Contents (9) Chapters Close

Preface 1. Getting the Most out of Your Camera System FREE CHAPTER 2. Photographing Nature and Wildlife with an Automated Camera 3. Recognizing Facial Expressions with Machine Learning 4. Panoramic Image Stitching Application Using Android Studio and NDK 5. Generic Object Detection for Industrial Applications 6. Efficient Person Identification Using Biometric Properties 7. Gyroscopic Video Stabilization Index

Chapter 3. Recognizing Facial Expressions with Machine Learning

Automatic facial expression recognition has attracted much attention since the early nineties, especially in human-computer interaction. As computers start becoming a part of our life, they need to become more and more intelligent. Expression recognition systems will enhance this intelligent interaction between the human and the computer.

Although humans can recognize facial expressions easily, a reliable expression recognition system is still a challenge. In this chapter, we will introduce a basic implementation of facial expression using various algorithms from the OpenCV library, including feature extraction and classification using the ml module.

In this chapter, we will be going through the following topics in brief:

  • A simple architecture to recognize human facial expressions
  • Feature extraction algorithms in the OpenCV library
  • The learning and testing stage, with various machine learning algorithms
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