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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

Summary

In this chapter, we learned how to use OpenCV.js in a web page, how to basically create a HTML structure, and how to access each HTML element in order to interact with them. We learned how to create a basic user interface and access image and video streaming through video HTML tags, using the newest HTML5 standards which most browsers implement.

We learned how to load OpenCV.js and check that it is ready to use in our JavaScript programs. We created a web application to apply multiple filters by applying to the input image.

We created an optical flow application that allows developers to create new possibilities of applications like augmented reality and so on.

Finally, we learned how to detect faces in real time using the webcam allowing us to extend it to create new applications for face identification, gestures, or emotion detection.

Now, OpenCV is on the web. Enjoy...

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