Book Image

Computer Vision for the Web

By : Foat Akhmadeev
Book Image

Computer Vision for the Web

By: Foat Akhmadeev

Overview of this book

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.
Table of Contents (13 chapters)

Other interesting libraries in Computer Vision


We already saw a lot of Computer Vision JavaScript libraries, but there are many of them which we did not discuss in the book. Some of those libraries are focused on face and face particle detection, others are a bit more general and implement several object detection techniques.

CCV library and its extensions

Face detection is probably the most popular task in web applications. One of the original libraries, which provide face detection is the CCV library (https://github.com/liuliu/ccv). The main part of the library consists of C functions, but there are JavaScript parts that are responsible for the face detection. There are a lot of libraries which base their face detection on it, for example:

Face...