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


We completed one of the hardest chapters in this book. Congratulations! We saw how to find and track a basic colored object and plunged into the depths of library APIs. Oh, and don't forget, we have completed our own object detector! The applications of Computer Vision methods vary. What we cannot accomplish with the simple color detection, we achieve with powerful feature detection and descriptor matching algorithms. Both libraries provide different functionalities to match the objects and some functions are not included in the libraries. But it should not stop you from using those excellent methods. To know how and, probably the more important part, when to use those algorithms are the most crucial things you need to know.

One of the most commonly seen objects in our world is a person's face. We interact with people everywhere. However, we did not see how to detect such objects in an application. The algorithms we covered in this chapter are not so useful for face detection, which...