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Maurer Michael Saffari Amir Schulter Samuel Seichter Hartmut Zeisl Bernhard Lex Alexander Arth Clemens Barakonyi István Bauer Joachim Beichel Reinhard Bischof Horst Bornik Alexander Reitinger Bernhard Bauer Christian Gruber Lukas Kainz Bernhard Pirchheim Christian Wagner Daniel Kalkofen Denis Donoser Michael Elbischger Pierre Ferstl David Fraundorfer Friedrich Reitmayr Gerhard Godec Martin Graber Gottfried Grabner Markus Grubert Jens Hartl Andreas Hauswiesner Stefan Riemenschneider Hayko Grabner Helmut Hirzer Martin Hofer Manuel Hoppe Christof Irschara Arnold Newman Joseph Junghanns Sebastian Khan Inayatullah Kalkusch Michael Karner Konrad Khlebnikov Rostislav Klaus Andreas Klopschitz Manfred Kluckner Stefan Köstinger Martin Kontschieder Peter Pirker Katrin Kruijff Ernst Langlotz Tobias Langs Georg Leberl Franz Lee Felix Leistner Christian Leitner Raimund Lenz Martin Mauthner Thomas Meixner Philipp Mendez Erick Grabner Michael Heber Markus Mühl Judith Mulloni Alessandro Ober Sandra Pacher Georg Partl Christian Pflugfelder Roman Pinz Axel Roth Peter M. Pock Thomas Puff Werner Pan Qi Ram Surinder Grasset Raphael Recky Michal Regenbrecht Holger Reinbacher Christian Rüther Matthias Rumpler Markus Santner Jakob Sareika Markus Schall Gerhard Schmalstieg Dieter Schulz Hans-Jörg Sormann Mario Steinberger Markus Sternig Sabine Storer Markus Straka Matthias Streit Marc Tatzgern Markus Nguyen Thanh Nguyen Thuy Trobin Werner Unger Markus Uray Martina Urschler Martin Veas Eduardo Waldner Manuela Wendel Andreas Werlberger Manuel Winter Martin Wohlhart Paul Zach Christopher Zebedin Lukas Zollmann Stefanie
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  Title     Abstract     Start     End  
AUGUR: portable AR visualization of structure within structure using high precission detection
(details)

This project aims to develop portable measurement tools with in-situ visualization for the construction industry. A future measurement tool will provide a direct augmented reality view of measured properties over the real environment together with instructions as to where and how a certain task can be completed. For example, a metal detection tool should be able to provide direct visual feedback on the location of hidden metallic structures over a live video view of the inspected wall area. Furthermore it can guide a construction engineer to the optimal position for drilling a hole, avoiding any damage to existing structures.

Thus the tools should combine information from several sources to provide interactive and contextaware

guidance: Measurements from built-in sensors; location-aware through online tracking and registration; spatial, semantic information retrieved from a building information system (BIM). At the same time, future tools need to be simple to be used by non-expert users; therefore the system needs to be intuitive and guide users in the correct operation to fulfil their tasks. To accomplish this goal, The project addresses the following challenges:

  • Tracking for mobile devices in changing and unknown environments for correct visual overlays. We will investigate the combination of visual online reconstruction methods with range finders and coarse models for absolute registration.
  • X-Ray visualization of hidden and abstract information in unknown environments. Here we will investigate automatic approaches that take the environment’s appearance and the virtual information into account to select the best visualization method.
  • User guidance based on measured and plan information requires automatic analysis of the spatial arrangements and automatic visualization.
2012 2013
CONSTRUCT: Construction Site Monitoring and Change Detection using UAVs
(details)

The goal of the project is to develop methods for modeling and surveying large construction sites. The project will make use of unmanned aerial vehicles and existing stationary or pan-tilt zoom cameras at the construction site. The goal is to provide accurate 3D models on a regular basis of the whole site. This will generate a 4D data set (3D+time). This data can then be used for documentation, visualization (we will use a mobile augmented reality system to overlay e.g. the plan or a model of the building) as well as measurement (e.g., how much material has been transported). From a scientific point of view we will have to solve following tasks:

  • Dense 3D reconstruction from highly overlapping data, we will use variational methods implemented on the GPU.
  • Accurate registration of subsequent models over time. Since the 3D reconstruction is changing (per definition) the method needs to handle this. This is an instance of the highly relevant 3D model updating problem.
  • Integration of multiple camera sources. Using the 3D model and additional cameras poses the problem of localization of the additional cameras with respect to the 3D model which is again an instance the registration problem.
  • Development of a handheld AR platform for visualization. In order to use AR technology the pose of the platform with respect to the model and the reconstruction needs to be determined.
2011 2014
Narkissos - Virtual Dressing Room
(details)
The main goal of NARKISSOS is to develop the next generation “magic mirror“ to be installed in a dressing room of a fashion store. The magic mirror is a technical multimedia system, where the consumer can watch himself on a video wall dressed by the clothes which are chosen by touch board or which he did register per RFID tag (embedded in the clothing) at a RFID reader stationed near the video wall of the virtual dressing room. Users can interactively change shape and appearance of the clothing in the mirror image without actually having to change cloths. Customers can also observe themselves (i.e., their avatar) from every side instantaneously. 2009 2012

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