Book Image

Augmented Reality for Android Application Development

Book Image

Augmented Reality for Android Application Development

Overview of this book

Augmented Reality offers the magical effect of blending the physical world with the virtual world, which brings applications from your screen into your hands. AR redefines advertising and gaming, as well as education. It will soon become a technology that will have to be mastered as a necessity by mobile application developers. Augmented Reality for Android Application Development enables you to implement sensor-based and computer vision-based AR applications on Android devices. You will learn about the theoretical foundations and practical details of implemented AR applications, and you will be provided with hands-on examples that will enable you to quickly develop and deploy novel AR applications on your own. Augmented Reality for Android Application Development will help you learn the basics of developing mobile AR browsers, how to integrate and animate 3D objects easily with the JMonkeyEngine, how to unleash the power of computer vision-based AR using the Vuforia AR SDK, and will teach you about popular interaction metaphors. You will get comprehensive knowledge of how to implement a wide variety of AR apps using hands-on examples. This book will make you aware of how to use the AR engine, Android layout, and overlays, and how to use ARToolkit. Finally, you will be able to apply this knowledge to make a stunning AR application.
Table of Contents (14 chapters)
Augmented Reality for Android Application Development
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
1
Augmented Reality Concepts and Tools
Index

Improving orientation tracking – handling sensor fusion


One of the limitations with sensor-based tracking is the sensors. As we introduced before, some of the sensors are inaccurate, noisy, or have drift. A technique to compensate their individual issue is to combine their values to improve the overall rotation you can get with them. This technique is called sensor fusion. There are different methods for fusing the sensors, we will use the method presented by Paul Lawitzki with a source code under MIT License available at http://www.thousand-thoughts.com/2012/03/android-sensor-fusion-tutorial/. In this section, we will briefly explain how the technique works and how to integrate sensor fusion to our JME AR application.

Sensor fusion in a nutshell

The fusion algorithm proposed by Paul Lawitzki merges accelerometers, magnetometers, and gyroscope sensor data. Similar to what is done with software sensor of an Android API, accelerometers and magnetometers are first merged to get an absolute orientation...