handheld augmented reality

Augmented Reality Anywhere and Anytime   

Projects

   Social Augmented Reality

   Information Presentation

   Real-Time Self Localization

   Structural Modelling

   AR Graphics

   AR Navigation

   Augmented Reality Games

   Past Projects

 

Technology

   Hybrid SLAM

   Panorama SLAM

   Planar SLAM

   Model-Based Tracking

   Marker-Based Tracking

 

Software Libraries

   Studierstube ES

   Studierstube Tracker

   Muddleware

   ARToolkitPlus

 

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

Qualcomm

 

Christian Doppler Forschungsgesellschaft

 

Graz University of Technology

 

 


 

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Structural Modelling

 

In this project, we aim to build systems which are able to reconstruct high level geometrical models of the physical world. The high level geometrical models are polygonal models comprising faces, edges and vertices. Additionally, the models also consist of useful semantic annotations. We devide this project into two sub-projects in order to study two key aspects of structural modeling: automatic structrual model reconstruction and incorporating user input into the underline automatic reconstruction.




STRUCTURAL MODELING USING A HANDHELD DEVICE EQUIPEED WITH DEPTH SENSORS (2014)

Summary: We aim to build a new modeling system which is able to reconstruct strucrual model from indoor scenes. The structure model to be created is a polygonal model consisting of faces, edges and vertices, and also simple volumes. The geometry can, but need not be, connected. Our approach exploits real-time depth sensing from currently available handheld depth sensors to automatically estimate structures of interests. Feedback is provided instantaneously through registered graphics shown in an AR interface on the mobile device. In addition, we employ constraints driven optimization in order to improve accuracy of the final model. This enables us to achieve quantitative and qualitative structural models.


Current Project Status

At the moment, we mainly focus on developing back-end system, which automatically reconstructs strucrual model. The back-end system is based on RGB-D SLAM.

Project Team

Thanh Nguyen
Christian Pirchheim
Vincent Lepetit
Dieter Schmalstieg

Alumni

Gerhard Reitmayr
Raphael Grasset
Hartmut Seichter

 

Publications

TBA

 

 

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