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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 FREE CHAPTER 2. Explore Structure from Motion with the SfM Module 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 using a Haar cascade classifier in your browser

To finish this chapter on OpenCV.js, we are going to learn how to create a face detector using Haar features in a cascade classifier algorithm. To get detailed information about face detector using Haar and Cascade classifier you can read it in Chapter 3, Face Landmark and Pose with the Face Module, in the Facial Landmark Detection in OpenCV section and Chapter 5, Face Detection and Recognition with the DNN Module, in the Face detection section that describe in detail how this two methods works.

Like the previous chapter, we are going to work with video input and canvas output, then we are going to reuse the same HTML structure to start our development:

<div class="row">
<div class="col">
<div id="status" class="alert alert-primary" role="alert&quot...
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