Unleash the power of the Computer Vision algorithms in JavaScript to develop vision-enabled web content
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.
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.
"synopsis" may belong to another edition of this title.
Foat Akhmadeev has about 5 years experience in software development and research. He finished his Master s degree in 2014 at Kazan Federal University, Russia. He has worked on different projects, including the development of high-loaded websites written in Java and real-time object detection on mobile phones. He has an extensive background in the computer vision area. As well as this, he has written a scientific paper on the topic of 3D reconstruction from a single image. For more information, you can visit his website: http://foat.me.
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