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


In this chapter, we saw many useful Computer Vision applications. Every time you want to implement something new, you need to start from the beginning. Fortunately, there are many libraries that can help you with your investigation. Here, we mainly covered the JSFeat library, since it provides basic methods for Computer Vision applications. We discussed how and when to apply the core of this library. Nevertheless, this is just a starting point, and if you want to see more exciting math topics and dig into the Computer Vision logic, we strongly encourage you to go through the next chapters of this book. See you there!