Computer Vision for the Web +code

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Название:Computer Vision for the Web

Автор: Foat Akhmadeev

Издательство: PACKT

Год: 2015

Страниц: 116

Язык: English

Формат: pdf+code

Размер: 3,1 Mb+ 63,5 Mb

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.

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.

Table of Contents

1: Math Never Was So Simple!

2: Turn Your Browser into Photoshop

3: Easy Object Detection for Everyone

4: Smile and Wave, Your Face Has Been Tracked!

5: May JS Be with You! Control Your Browser with Motion

6: What's Next?

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.

Authors

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.

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