Research Focus

Our research facilities include an immersive projection environment referred to as DAVE, a multi touch interaction table, a 3D printer and more.
Our groups research and teaching focuses on areas of geometry modeling and processing and digital libraries and research fields related to these, namely, Virtual reality, and Cultural Heritage. Our main focus of research currently covers the areas: 3D Modelling and Processing
  • Computer Aided Geometric Design
  • Physics-based Modelling
  • 3D Object Retrieval
  • 3D Restoration
  • Procedural Modelling

Simulation and Analysis
  • Analysis and Visualization of Geometric Information
  • Isogeometric Analysis
  • Virtual Reality

Visual Analytics and Digital Libraries
  • Visual-Interactive Data Exploration
  • Search Interfaces and Semantic Annotation
  • Submission and Review System

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National and International Cooperations

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Photo credits:
3D Modelling and Processing: © S. Yoon, M. Scherer, T. Schreck, and A. Kuijper. Sketch-based 3D model retrieval using diffusion tensor fields of suggestive contours. In ACM Multimedia, pages 193-200. ACM, 2010. // © TU Graz / S. Havemann // © A. Andreadis, R. Gregor, I. Sipiran, P. Mavridis, G. Papaioannou, and T. Schreck. Fractured 3D object restoration and completion. ACM SIGGRAPH Posters, 2015. // © Riffnaller-Schiefer, Andreas; Augsdörfer, Ursula H.; Fellner, Dieter W. : Isogeometric Analysis for Modelling and Design. Eurographics 2015 Short Paper.
Simulation and Analysis: © Riffnaller-Schiefer, Andreas; Augsdörfer, Ursula H.; Fellner, Dieter W. : Isogeometric Analysis for Modelling and Design. Eurographics 2015 Short Paper. // © TU Graz / Marcel Lancelle // © MRT Project, TU Braunschweig // © Andreas Halm
Visual Analytics and Digital Libraries: © T. Schreck, T. Tekusova, J. Kohlhammer, and D. Fellner. Trajectory-based visual analysis of large nancial time series data. ACM SIGKDD Explorations, Special Issue on Visual Analytics, 9:30-37, 2007. //  L. Zhang, A. Stoel, M. Behrisch, S. MittelstŁadt, T. Schreck, R. Pompl, S. Weber, H. Last, and D. Keim. Visual analytics for the big data era - a comparative review of state-of-the-art commercial systems. In Proc. IEEE Symposium on Visual Analytics Science and Technology, pages 173-182, 2012.
Contact
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Institute of Computer Graphics and Knowledge Visualisation Inffeldgasse 16c
8010 Graz Phone: +43 (0) 316 / 873 - 5401
Fax: +43 (0) 316 / 873 - 5402
Email: cgvnoSpam@cgv.tugraz.at
Homepage: www.tugraz.at/institute/cgv
CGV - Research Areas, Poster