Book Image

Augmented Reality with Kinect

By : Rui Wang
Book Image

Augmented Reality with Kinect

By: Rui Wang

Overview of this book

Microsoft Kinect changes the notion of user interface design. It differs from most other user input controllers as it enables users to interact with the program without touching the mouse or a trackpad. It utilizes motion sensing technology and all it needs is a real-time cameras, tracked skeletons, and gestures. Augmented Reality with Kinect will help you get into the world of Microsoft Kinect programming with the C/C++ language. The book will cover the installation, image streaming, skeleton and face tracking, multi-touch cursors and gesture emulation. Finally, you will end up with a complete Kinect-based game. Augmented Reality with Kinect will help you get into the world of Kinect programming, with a few interesting recipes and a relatively complete example. The book will introduce the following topics: the installation and initialization of Kinect applications; capturing color and depth images; obtaining skeleton and face tracking data; emulating multi-touch cursors and gestures; and developing a complete game using Kinect features. The book is divided in such a way so as to ensure that each topic is given the right amount of focus. Beginners will start from the first chapter and build up to developing their own applications.
Table of Contents (14 chapters)
Augmented Reality with Kinect
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Summary


In this chapter, we have created a simple enough OpenGL framework to use it throughout the whole book. It is built on the open source FreeGLUT and FreeImage libraries, as well as the Microsoft Kinect SDK.

We have also successfully initialized the Kinect device in our own C++ application and obtained some continuous updating values for displaying on screen, which can be found in the downloadable source code package of this book. This means that Kinect is now ready for extensive usage based on color/depth camera images and skeleton tracking points. These will be covered in the next two chapters.