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Mastering OpenCV 4

You're reading from   Mastering OpenCV 4 A comprehensive guide to building computer vision and image processing applications with C++

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Product type Paperback
Published in Dec 2018
Publisher
ISBN-13 9781789533576
Length 280 pages
Edition 3rd Edition
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Authors (2):
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Roy Shilkrot Roy Shilkrot
Author Profile Icon Roy Shilkrot
Roy Shilkrot
David Millán Escrivá David Millán Escrivá
Author Profile Icon David Millán Escrivá
David Millán Escrivá
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Toc

Table of Contents (12) Chapters Close

Preface 1. Cartoonifier and Skin Color Analysis on the RaspberryPi 2. Explore Structure from Motion with the SfM Module FREE CHAPTER 3. Face Landmark and Pose with the Face Module 4. Number Plate Recognition with Deep Convolutional Networks 5. Face Detection and Recognition with the DNN Module 6. Introduction to Web Computer Vision with OpenCV.js 7. Android Camera Calibration and AR Using the ArUco Module 8. iOS Panoramas with the Stitching Module 9. Finding the Best OpenCV Algorithm for the Job 10. Avoiding Common Pitfalls in OpenCV 11. Other Books You May Enjoy

Face Detection and Recognition with the DNN Module

In this chapter, we are going to learn the main techniques of face detection and recognition. Face detection is the process whereby faces are located in a whole image. In this chapter, we are going to cover different techniques to detect faces in images, from classic algorithms using cascade classifiers with Haar features to newer techniques using deep learning. Face recognition is the process of identifying a person that appears in an image. We are going to cover the following topics in this chapter:

  • Face detection with different methods
  • Face preprocessing
  • Training a machine learning algorithm from collected faces
  • Face recognition
  • Finishing touches
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