book

Augmented Reality for Android Application Development

by Jens Grubert

November 2013

Intermediate to advanced

134 pages

3h 12m

English

Packt Publishing

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What this book covers

Downloading the example codeErrataPiracyQuestions
A quick overview of AR conceptsSensory augmentationDisplaysRegistration in 3DInteraction with the environmentChoose your style – sensor-based and computer vision-based ARSensor-based ARComputer vision-based ARAR architecture conceptsAR software componentsAR control flowSystem requirements for development and deploymentInstalling the Android Developer Tools Bundle and the Android NDKInstalling JMonkeyEngineInstalling VuforiaTMWhich Android devices should you use?
Understanding the cameraCamera characteristicsCamera versus screen characteristics
Creating an Eclipse projectPermissions in the Android manifestCreating an activity that displays the cameraSetting camera parametersCreating SurfaceView
Creating the JME activityCreating the JME application
The building blocks of 3D rendering
Camera parameters (intrinsic orientation)
Knowing where you are – handling GPSGPS and GNSSJME and GPS – tracking the location of your device
Understanding sensorsSensors in JME
Sensor fusion in a nutshellSensor fusion in JME
Querying for POIs around your current locationParsing the Google Places APIs results
Introduction to computer vision-based tracking and VuforiaTMChoosing physical objectsUnderstanding frame markersUnderstanding natural feature tracking targets
The C++ integrationThe Java integrationSummary
Pick the stick – 3D selection using ray picking
Managing your contentMulti-targetsCloud recognition

Content preview from Augmented Reality for Android Application Development

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.