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...
Mastering OpenCV 4 - Third Edition
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Mastering OpenCV 4 - Third Edition
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Overview of this book
Mastering OpenCV, now in its third edition, targets computer vision engineers taking their first steps toward mastering OpenCV. Keeping the mathematical formulations to a solid but bare minimum, the book delivers complete projects from ideation to running code, targeting current hot topics in computer vision such as face recognition, landmark detection and pose estimation, and number recognition with deep convolutional networks.
You’ll learn from experienced OpenCV experts how to implement computer vision products and projects both in academia and industry in a comfortable package. You’ll get acquainted with API functionality and gain insights into design choices in a complete computer vision project. You’ll also go beyond the basics of computer vision to implement solutions for complex image processing projects.
By the end of the book, you will have created various working prototypes with the help of projects in the book and be well versed with the new features of OpenCV4.
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Current Title:
Mastering OpenCV 4 - Third Edition
Table of Contents (12 chapters)
Preface
Free Chapter
Cartoonifier and Skin Color Analysis on the RaspberryPi
Explore Structure from Motion with the SfM Module
Face Landmark and Pose with the Face Module
Number Plate Recognition with Deep Convolutional Networks
Face Detection and Recognition with the DNN Module
Introduction to Web Computer Vision with OpenCV.js
Android Camera Calibration and AR Using the ArUco Module
iOS Panoramas with the Stitching Module
Finding the Best OpenCV Algorithm for the Job
Avoiding Common Pitfalls in OpenCV
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