Szczegóły ebooka

Computer Vision for the Web. Unleash the power of the Computer Vision algorithms in JavaScript to develop vision-enabled web content

Computer Vision for the Web. Unleash the power of the Computer Vision algorithms in JavaScript to develop vision-enabled web content

Foat Akhmadeev

Ebook
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.
  • 1. Math never was so simple
  • 2. Turn your browser into photoshop
  • 3. Easy Object Detection for Everyone
  • 4. Smile and wave, your face has been tracked!
  • 5. May js be with you. Control your browser with gestures
  • 6. What's Next!
  • Tytuł: Computer Vision for the Web. Unleash the power of the Computer Vision algorithms in JavaScript to develop vision-enabled web content
  • Autor: Foat Akhmadeev
  • Tytuł oryginału: Computer Vision for the Web. Unleash the power of the Computer Vision algorithms in JavaScript to develop vision-enabled web content
  • ISBN: 9781785889875, 9781785889875
  • Data wydania: 2015-10-14
  • Format: Ebook
  • Identyfikator pozycji: e_3b8n
  • Wydawca: Packt Publishing