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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 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

Basic introduction to OpenCV.js development

Before starting to develop with OpenCV.js, we require a basic HTML structure with the required HTML elements to work with. In our examples, we are going to use Bootstrap, which is a toolkit to build responsive web applications with multiple predesigned web components and utilities, using HTML, CSS, and JavaScript. We are going to use JQuery library to work easily with HTML elements, events, and callbacks. We can develop the same samples of this chapter without Bootstrap and JQuery, or use other frameworks or libraries like AngularJS, VUE, and so on, but the simplicity of Bootstrap and JQuery will help us understand and write our web page code.

We are going to use the same HTML structure template for all our samples, which consists of a header, a left menu where we put links to each example code, and the main content where we are going...

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