Martin Haidacher

Dipl.-Ing. Dr.
martin.haidacher [at]
  • Former Member


Martin Haidacher is no longer member of the Institute of Computer Graphics and Algorithms.
He is now employed at Miracor Medical Systems.


Martin Haidacher received his master's degree in Computer Science from the Vienna University of Technology (VUT), Austria in 2007 and his Ph.D. in 2011 from the same university. He is currently a University Assitent at the Institute of Computer Graphics and Algorithms at VUT. His research interests include multimodal visualization, visual data exploration and information theory for scientific visualization.

Research papers by Martin Haidacher


  • University assistant

Research Interests

  • Medical and Scientific Visualization
  • Information Theory in Visualization
  • Multimodal Visualization
  • Transfer Functions


9 Publications found:
Image Bib Reference Publication Type
Martin Haidacher, Stefan Bruckner, Meister Eduard Gröller
Volume Analysis Using Multimodal Surface Similarity
IEEE Transactions on Visualization and Computer Graphics, 17(12):1969-1978, October 2011. [Paper]
Journal Paper with Conference Talk
Martin Haidacher
Information-based Feature Enhancement in Scientific Visualization
Supervisor: Meister Eduard Gröller
Duration: October 2007 - June 2011
[PhD Thesis]
Martin Haidacher, Daniel Patel, Stefan Bruckner, Armin Kanitsar, Meister Eduard Gröller
Volume Visualization based on Statistical Transfer-Function Spaces
In Proceedings of the IEEE Pacific Visualization 2010, pages 17-24. March 2010.
Conference Paper
Daniel Patel, Martin Haidacher, Jean-Paul Balabanian, Meister Eduard Gröller
Moment Curves
In Proceedings of the IEEE Pacific Visualization Symposium 2009, pages 201-208. April 2009.
[Moment Curves] [Paper]
Conference Paper
Martin Haidacher, Stefan Bruckner, Armin Kanitsar, Meister Eduard Gröller
Information-based Transfer Functions for Multimodal Visualization
In VCBM , pages 101-108. October 2008.
[Paper] [Presentation]
Conference Paper
Martin Haidacher
Importance-Driven Rendering in Interventional Imaging
[Masterthesis] [Video]
Master Thesis
Michael Burns, Martin Haidacher, Wolfgang Wein, Ivan Viola, Meister Eduard Gröller
Feature Emphasis and Contextual Cutaways for Multimodal Medical Visualization
In Proceedings of Eurographics / IEEE VGTC Symposium on Visualization (EuroVis 2007), pages 275-282. May 2007.
Conference Paper
Martin Haidacher
Multiscale Nodule Detection in CT Data
Student Project
Martin Haidacher
Merkmals-Visualisierung für Volumsdaten
Student Project
Download list as Bibtex, HTML (Advanced, Expert), JSON (with referenced objects), CSV