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)

Summary


A face is a really complex object. To detect and track it, you need to use a new level of algorithms. Fortunately, the JavaScript libraries provide such an opportunity through Haar, Brightness Binary features, Meanshift, and Camshift algorithms. All of them have their own area of usage. You can apply these wonderful methods in different programs, for example, people tagging. We discussed them and provided examples which you can start using right away. In addition to face detection, there is a potential to detect other objects such as face particles. Of course, the detection quality may vary significantly and you should be careful when you use other classifiers.

In this chapter, we already touched on the tracking applications a bit and discussed how the tracking can help to create a human interface. In the next chapter, we will learn how to control your browser with motion and how the object tracking can be used in those applications.