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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

Optical flow in your browser

In this section, we are going to develop an optical flow over a set of points. To choose the best points to track, we are going to use an OpenCV function to choose them.

In previous chapters, we were going to construct the HTML code that we needed to grab the frames and show the result. Then we require the video element and a canvas to show the processed result, and a start button to process input frames. The HTML code looks like this:

<div class="row">
<div class="col">
<div id="status" class="alert alert-primary" role="alert"><img src="img/ajax-loader.gif" /> Loading OpenCV...</div>
</div>
</div>
<a href="#" class="btn btn-primary" style="display: none;" id="cv_start">Start</a>
<div class...
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