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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

Augmented reality and pose estimation

Augmented reality (AR) is a concept coined in the early 1990s by Tom Caudell. He proposed AR as a mix between real-world rendering from a camera and computer generated graphics that smoothly blend together to create the illusion of virtual objects existing in the real world. In the past few decades, AR has made great strides, from an eccentric technology with very few real applications, to a multi-billion industry in many verticals: defense, manufacturing, healthcare, entertainment, and more. However, the core concept remains the same (in camera-based AR): register graphics on top of 3D geometry in the scene. Thus, AR has ultimately been about 3D geometry reconstruction from images, tracking this geometry, and 3D graphics rendering registered to the geometry. Other types of augmented reality use different sensors than the camera. One of the...

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