Book Image

OpenNI Cookbook

By : Soroush Falahati
Book Image

OpenNI Cookbook

By: Soroush Falahati

Overview of this book

The release of Microsoft Kinect, then PrimeSense Sensor, and Asus Xtion opened new doors for developers to interact with users, re-design their application’s UI, and make them environment (context) aware. For this purpose, developers need a good framework which provides a complete application programming interface (API), and OpenNI is the first choice in this field. This book introduces the new version of OpenNI. "OpenNI Cookbook" will show you how to start developing a Natural Interaction UI for your applications or games with high level APIs and at the same time access RAW data from different sensors of different hardware supported by OpenNI using low level APIs. It also deals with expanding OpenNI by writing new modules and expanding applications using different OpenNI compatible middleware, including NITE. "OpenNI Cookbook" favors practical examples over plain theory, giving you a more hands-on experience to help you learn. OpenNI Cookbook starts with information about installing devices and retrieving RAW data from them, and then shows how to use this data in applications. You will learn how to access a device or how to read data from it and show them using OpenGL, or use middleware (especially NITE) to track and recognize users, hands, and guess the skeleton of a person in front of a device, all through examples.You also learn about more advanced aspects such as how to write a simple module or middleware for OpenNI itself. "OpenNI Cookbook" shows you how to start and experiment with both NIUI designs and OpenNI itself using examples.
Table of Contents (14 chapters)
OpenNI Cookbook
About the Author
About the Reviewers

Creating a project in Visual Studio 2010

In this recipe we will show you how to prepare a project in Visual Studio to start programming with OpenNI 2 and NiTE 2. Using NiTE 2 is optional but it will offer following features to you::

  • The capability to track hands and recognize hand gestures

  • The capability to recognize one or more users and track their movements

  • The capability to recognize different parts of the user's body and extract his/her skeleton map and joint positions


Please note that you don't need NiTE if you want to simply work with depth/IR or Image stream. But if you want to go one step forward and work with the middleware layer, you need to install NiTE and use it.

Without NiTE, we can only use low-level data such as the output of different physical sensors of one or more devices.

Getting ready

Download and install the free version of Visual Studio 2010 Express Edition from the following link:

Please note...