handheld augmented reality

Augmented Reality Anywhere and Anytime   


   Social Augmented Reality

   Information Presentation

   Real-Time Self Localization

   AR Graphics

   AR Navigation

   Augmented Reality Games

   Past Projects



   Hybrid SLAM

   Panorama SLAM

   Planar SLAM

   Model-Based Tracking

   Marker-Based Tracking


Software Libraries

   Studierstube ES

   Studierstube Tracker










   Student projects


   Site map


The Handheld Augmented Reality
Project is supported by the
following institutions:



Christian Doppler Forschungsgesellschaft


Graz University of Technology




Come to ISMAR 2011



Handheld Augmented Reality


The Christian Doppler Labor for Handheld AR is the premier research laboratory for mobile Augmented Reality.

Augmented Reality is a promising interface technology changing the way we access information. With ubiquitous handheld devices such as mobile phones, browsing our environment visually anywhere at anytime will be the predominant mode of interaction.

The Handheld AR team has made major contributions to the field of mobile Augmented Reality. We were the first to introduce Augmented Reality on PDAs in 2003 and were the first to demonstrate realtime Natural Feature Tracking on mobile phones in 2007. Our tracking technology has now become available world wide as part of the Qualcomm AR SDK.

More about the Christian Doppler Labor for Handheld Augmented Reality

Current Projects

ImageSocial AR is a project that targets new concepts for mobile Augmented Reality enabling laypersons to create content for mobile AR applications. Within that project we create techniques and applications allowing the creation of content in unprepared environments as well as the sharing of content between users.







ImageInformation Presentation for Augmented Reality is a project dealing with the two topics of integrating information in real world environments, and compact information presentation for small screen-estate.






Real-Time Self Localization is a project targeting the real-time localization of a mobile phone using vision and sensors. The developed localization framework is based on sparse 3D point clouds and our latest achievements in natural feature tracking. The sparse 3D point clouds are created through a 3D reconstruction pipeline using captured images from a high quality DSLR camera as input.




AR Graphics is a project dealing with visual coherence in video based AR. Visual coherence is about blending the virtual augmentations seamlessly with the real-world content. Unrealistic rendered virtual content does not pop out any more, which improves the AR experience.


AR Navigation The goal of this project is to design, implement and evaluate novel techniques for enhancing handheld navigation systems with AR.



All older projects can be found here.






website maintained by Tobias Langlotz
last updated on 2011-08-02

copyright (c) 2011 Graz University of Technology