Computer Vision for the Web - Softcover

Foat Akhmadeev

Softcover

ISBN 10: 1785886177 ISBN 13: 9781785886171

Publisher: Packt Publishing - ebooks Account, 2015

Synopsis

Unleash the power of the Computer Vision algorithms in JavaScript to develop vision-enabled web content

About This Book

• 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.

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

In Detail

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 JavaScript–based 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 you'll 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.

Style and approach

This book is an easy-to-follow project-based guide that throws you directly into the excitement of the Computer Vision theme. A “more in less” approach is followed by important concepts explained in a to-the-point, easy-to-understand manner.

About this title

About the Author

Foat Akhmadeev

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.

Edition details

• Publisher: Packt Publishing - ebooks Account
• Publication date: 2015
• ISBN 10: 1785886177
• ISBN 13: 9781785886171
• Binding: Paperback
• Language: English
• Number of pages: 62