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


Until now we talked about OpenNI and learned how to use it for accessing devices and their raw outputs. But from this chapter onwards, we will cover NiTE, which is a middleware based on OpenNI and more focused on natural interactions. NiTE is a product of the same team as OpenNI and acts as middleware above the OpenNI framework with the purpose of providing more advanced outputs as a basic natural interaction interface for developers.

In this chapter, we will show you how to use the nite::UserTracker class to get the list of all active users in the scene and get their location and size in OpenNI's depth stream, along with the centre of visual mass of each user.

The nite::NiTE object

nite::NiTE, just as with openni::OpenNI, is a static class and a starting point when working with NiTE.

nite::NiTE contains three methods: nite::NiTE::initialize(), nite::NiTE::shutdown(), and nite::NiTE::getVersion(). We are not sure what nite::NiTE::initialize() actually does because NiTE is a...