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OpenCV 3.x with Python By Example

You're reading from   OpenCV 3.x with Python By Example Make the most of OpenCV and Python to build applications for object recognition and augmented reality

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788396905
Length 268 pages
Edition 2nd Edition
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Authors (2):
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Gabriel Garrido Calvo Gabriel Garrido Calvo
Author Profile Icon Gabriel Garrido Calvo
Gabriel Garrido Calvo
Prateek Joshi Prateek Joshi
Author Profile Icon Prateek Joshi
Prateek Joshi
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Table of Contents (17) Chapters Close

Title Page
Copyright and Credits
Contributors
Packt Upsell
Preface
1. Applying Geometric Transformations to Images FREE CHAPTER 2. Detecting Edges and Applying Image Filters 3. Cartoonizing an Image 4. Detecting and Tracking Different Body Parts 5. Extracting Features from an Image 6. Seam Carving 7. Detecting Shapes and Segmenting an Image 8. Object Tracking 9. Object Recognition 10. Augmented Reality 11. Machine Learning by an Artificial Neural Network 1. Other Books You May Enjoy

Chapter 4. Detecting and Tracking Different Body Parts

In this chapter, we are going to learn how to detect and track different body parts in a live video stream. We will start by discussing the face detection pipeline and how it's built from the ground up. We will learn how to use this framework to detect and track other body parts, such as eyes, ears, and mouth.

By the end of this chapter, you will know:

  • How to use Haar cascades
  • What integral images are
  • What adaptive boosting is
  • How to detect and track faces in a live video stream
  • How to detect and track eyes in a live video stream
  • How to automatically overlay sunglasses on top of a person's face
  • How to detect eyes, ears, and mouth
  • How to detect pupils using shape analysis
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