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Akhmadeev Foat. - Computer Vision for the Web

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Akhmadeev Foat. Computer Vision for the Web

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Packt Publishing, 2015. 115 p. ISBN: 978-1-78588-617-1.
Unleash the power of the Computer Vision algorithms in JavaScript to develop vision-enabled web content.JavaScript is a dynamic and prototype-based programming language supported by every browser today. JavaScript libraries boast outstanding functionalities that enable you to furnish your own Computer Vision projects, making it easier to develop JavaScriptbased applications, especially for web-centric technologies. It makes the implementation of Computer Vision algorithms easier as it supports scheme-based functional programming.This book will give you an insight into controlling your applications with gestures and head motion and readying them for the web. Packed with real-world tasks, it begins with a walkthrough of the basic concepts of Computer Vision that the JavaScript world offers us, and youll implement various powerful algorithms in your own online application. Then, we move on to a comprehensive analysis of JavaScript functions and their applications. Furthermore, the book will show you how to implement filters and image segmentation, and use tracking.js and jsfeat libraries to convert your browser into Photoshop. Subjects such as object and custom detection, feature extraction, and object matching are covered to help you find an object in a photo. You will see how a complex object such as a face can be recognized by a browser as you move toward the end of the book. Finally, you will focus on algorithms to create a human interface.By the end of this book, you will be familiarized with the application of complex Computer Vision algorithms to develop your own applications, without spending much time learning sophisticated theory.What You Will Learn:
Apply complex Computer Vision algorithms in your applications using JavaScript;
Put together different JavaScript libraries to discover objects in photos;
Get to grips with developing simple computer vision applications on your own;
Understand when and why you should use different computer vision methods;
Apply various image filters to images and videos;
Recognize and track many different objects, including face and face particles using powerful face recognition algorithms;
Explore ways to control your browser without touching the mouse or keyboard.Explore the exciting world of image processing, and face and gesture recognition, and implement them in your website.
Develop wonderful web projects to implement Computer Vision algorithms in an effective way.
A fast-paced guide to help you deal with real-world Computer Vision applications using JavaScript libraries.Who This Book Is For:
If you have an interest in Computer Vision or wish to apply Computer Vision algorithms such as face, custom object, and gesture recognition for an online application, then this book is ideal for you. Prior understanding of the JavaScript language and core mathematical concepts is recommended.

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Computer Vision for the Web

Table of Contents
Computer Vision for the Web

Computer Vision for the Web

Copyright 2015 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

First published: October 2015

Production reference: 1091015

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham B3 2PB, UK.

ISBN 978-1-78588-617-1

www.packtpub.com

Credits

Author

Foat Akhmadeev

Reviewer

Noritsuna Imamura

Acquisition Editor

Tushar Gupta

Content Development Editor

Amey Varangaonkar

Technical Editor

Vivek Pala

Copy Editor

Pranjali Chury

Project Coordinator

Francina Pinto

Proofreader

Safis Editing

Indexer

Mariammal Chettiyar

Graphics

Disha Haria

Production Coordinator

Arvindkumar Gupta

Cover Work

Arvindkumar Gupta

About the Author

Foat Akhmadeev has 5 years of experience in software development and research. He completed his master's degree in the year 2014 from the Kazan Federal University, Russia. He has worked on different projects, including development of high-loaded websites written in Java and real-time object detection for mobile phones. He has an extensive background in the field of Computer Vision. He has also written a scientific paper on 3D reconstruction from a single image. For more information, you can visit his website at http://foat.me.

About the Reviewer

Noritsuna Imamura is a specialist in embedded Linux/Android-based Computer Vision, and is one of the main members of SIProp.org (http://siprop.org/). His main works are as follows:

  • ITRI Smart Glass, which is similar to Google Glass. He worked on this using Android 4.3 and OpenCV 2.4 in June 2014 (https://www.itri.org.tw/chi/Content/techTransfer/tech_tran_cont.aspx?&SiteID=1&MmmID=620622510147005345&Keyword=&MSid=4858).
  • The Treasure Hunting Robot, a brainwave controlling robot that he developed in February 2012 (http://www.siprop.org/en/2.0/index.php?product%2FTreasureHuntingRobot).
  • OpenCV for Android NDK. This has been included since Android 4.0.1 (http://tools.oesf.biz/android-4.0.1_r1.0/search?q=SIProp).
  • The Auto Chasing Turtle, a human face recognition robot with Kinect, which he developed in February 2011 (http://www.siprop.org/ja/2.0/index.php?product%2FAutoChasingTurtle).
  • Feel Sketchan AR Authoring Tool and AR Browser as an Android application, which he developed in December 2009 (http://code.google.com/p/feelsketch/).

He can be contacted via e-mail at <>.

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Preface

Computer Vision is one of the popular areas in computer science that have gained widespread importance lately. Besides, the power of personal computers has grown, thus opening the gate for developers to use Computer Vision algorithms directly on end user machines using client-side scripting. Nowadays, the most popular programming language for the web is JavaScript. It allows us to develop complex algorithms and run them directly in a web browser; this solves several major problemsthe user needs nothing but a browser to run a web application, and as a developer, you get a lower load on your server. In this book, we will provide a comprehensive overview of the most popular JavaScript libraries and discuss the techniques they provide to help you in your initial steps in exciting fields, such as image processing and Computer Vision. This book covers Computer Vision methods by providing an intuitive overview of each algorithm and showing clear examples of the usage of libraries.

What this book covers

, Math Never Was So Simple! covers most of the necessary math operations that you need for using Computer Vision libraries and developing your own application.

, Turning Your Browser into Photoshop , introduces the most popular image processing techniques that are commonly used in the Computer Vision area.

, Easy Object Detection for Everyone , provides a detailed overview of object detection in photos and videos, starting from the basic examples, such as detecting objects by color, to the more complex examples such as feature detection.

, Smile and Wave, Your Face Has Been Tracked! covers detection of the face and face particles. In addition to this, it gives you an example of head tracking.

, May JS Be with You! Control Your Browser with Motion , extends the topic of object detection to object tracking and provides exhaustive examples. It also demonstrates how to create a human interface using gestures or head motion.

, What's Next? summarizes all that we will do throughout this book. Moreover, it provides references to several libraries that are not presented here.

What you need for this book

This book provides an overview of various methods in the Computer Vision area using JavaScript. Knowledge of JavaScript at the beginner level is required. It is totally fine if you know nothing about Computer Vision. However, you will need some basic math knowledge to understand the concepts in the book. To start with, you just need a web browser and your favorite text editor. This book will guide you from the basics of Computer Vision to the most complex algorithms in the JavaScript world.

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