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 have learned how to request, read, and show outputs of sensors to a user along with how to configure each sensor to give us the desired resolution and pixel format.

But in this chapter, we are going to show you how we can do more customization, including cropping or mirroring the output of an image right from the device or, more importantly, overlaying the depth frame over the image frame.

These enhancements are scattered all over the OpenNI. Here is a list of all the classes with some information about the enhancements that are included with them.

The openni::Device object

This class contains methods to enable and disable depth and image frame syncing and depth-over-image registration. In other words, any enhancements that have an effect on two or more sensors are included with this class.

The openni::VideoStream object

Methods to enable the mirroring of frame data and the cropping of a specific area in frames are part of this class. openni::VideoStream is home to methods...