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

Enabling/disabling auto exposure and auto white balance

Image sensor has built-in auto exposure and auto white balance. In this recipe, we are going to show you how we can change the image sensor's settings to change the active state of these features.

Getting ready

Create a project in Visual Studio 2010 and prepare it for working with OpenNI using the Creating a project in Visual Studio 2010 recipe of Chapter 2, OpenNI and C++.

Then, copy the code from the Reading and showing a frame from the image sensor (color/IR) recipe of Chapter 3, Using Low-level Data, to this project.

How to do it...

  1. Locate the following lines of code:

    void gl_KeyboardCallback(unsigned char key, int x, int y)
  2. Replace any code inside this function with the following code snippet:

      if (key == 27) // ESC Key
      else if (key == 'C' || key == 'c')
        if (device.isValid())
          printf("\r\n-->Setting active sensor to...