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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 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

Android Camera Calibration and AR Using the ArUco Module

Mobile devices running Google's Android outnumber all other mobile OSes and, in recent years, they have featured incredible computing power alongside high-quality cameras, which allows them to perform computer vision at the highest levels. One of the most sought after applications for mobile computer vision is augmented reality (AR). Blending real and virtual worlds has applications in entertainment and gaming, medicinel and healthcare, industry and defense, and many more. The world of mobile AR is advancing quickly, with new compelling demos popping up daily, and it is undeniably an engine for mobile hardware and software development. In this chapter, we will learn how to implement an AR application from scratch in the Android ecosystem, by using OpenCV's ArUco contrib module, Android's Camera2 APIs, as well...

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