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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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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

Introduction to Web Computer Vision with OpenCV.js

This chapter introduces you to a new way to develop computer vision algorithms for the web. When a computer vision algorithm has to be written for the World Wide Web, normally it is a C++ program on the server that is executed when a client calls it via a web server, but with OpenCV.js, this way to develop computer vision algorithms is extended not only on the server but also extended to the browser client. The algorithms can be executed in the client browser, allowing developers to have more flexibility and use the benefits of running code in the clients' browsers.

In this chapter, we are going to learn the following:

  • What OpenCV.js is and the benefits of client browser code
  • Develop basic algorithms for image manipulation
  • Work with video or webcam in the browser
  • Manipulate frames with OpenCV.js
  • Face detection in a web browser...
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