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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

What is OpenCV.js?

OpenCV.js is a port of some OpenCV functions using new technology that compiles C++ code into JavaScript. OpenCV uses Emscripten to compile C++ functions into Asm.js or WebAssembly targets. Emscripten is an LLVM-to-JavaScript compiler that compiles from low-level virtual machine (LLVM) bitcode to Asm.js or WebAssembly JavaScript, which can be executed in any new web browser. Emscripten works as follows:

The increase in web applications, and the news on web HTML5 standards such as WebGL or WebRTC that allow developers access to webcams, create emerging possibilities for new applications. OpenCV brings to web developers more powerful increase on the browser to develop new algorithms with OpenCV.js, allowing the use of computer vision algorithms and giving possibilities of new applications such as: web virtual reality, web augmented reality, face detection and...

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