Researcher Profile

Dr. Reinhold Huber-Mörk

Dr. Huber-Mörk

Function

Senior Scientist

Center

Vision, Automation & Control

Business Unit

High-Performance Image Processing

E-Mail

Reinhold.Huber-Moerk(at)ait.ac.at

Phone

+43 50550 3188

Fax

+43 50550 2813

Address

Tech Gate Vienna, Donau-City-Strasse 1, 1220 Vienna

Career

Area: Intelligent Vision Systems

Field: High-Speed Imaging

Main Research: Machine Vision

Experience: Image acquistion and processing for applications in industrial machine vision. Pattern recognition and machine learning from image data.

  • 2006-: Scientist & project manager / high performance image processing
    Austrian Institute of Technology GmbH (AIT), Vienna & Seibersdorf / Austria
  • 2001-2006: Researcher & project manager / computer vision
    Advanced Computer Vision GmbH (ACV), Vienna / Austria
  • 1996-2001: Ph.D. position and later head of data evaluation group / remote sensing
    Aerosensing Radarsysteme GmbH, c/o German Aerospace Research Establishment (DLR) Oberpfaffenhofen / Germany
  • 1992-1999: Research & teaching assistant / computer architecture
    University of Salzburg, Department of Computer Science / Austria
  • 1987-1991: Hardware developer / industrial automation
    Osterer Elektronik, Salzburg / Austria
  • 2014: Best paper award at SPIE-IS&T Electronic Imaging, San Francisco, CA, USA
  • 1999: Stipendium for outstanding scientific achievemts / Industriellenvereinigung Salzburg
  • 1996: Leonardo da Vinci Fellowship / European Commission

Publications

  • Depth and all-in-focus imaging by a multi-line-scan light-field camera
    Author(s): S. Štolc, D. Soukup, B. Holländer, R. Huber-Mörk
    Journal: Journal of Electronic Imaging (2014)
  • Computational imaging using a multi-linescan light-field camera
    Author(s): S. Štolc, R. Huber-Mörk
    Journal: Laser Focus World (2014)
  • Computational Fusion of Multi-View and Multi-Illumination Imaging
    Author(s): S. Štolc, R. Huber-Mörk, D. Heiss
    Journal: ERCIM News, 108 (2017)
  • Binary descriptor-based dense line-scan stereo matching
    Author(s): K. Valentín, R. Huber-Mörk, S. Štolc
    Journal: Journal of Electronic Imaging (2017)
  • Inspection Methods for Metal Surfaces: Image Acquisition and Algorithms for the Characterization of Defects;
    Integrated Imaging and Vision Techniques for Industrial Inspection: Advances and Aplications

    Author(s): R. Huber-Mörk, G. Fernandez Dominguez, S. Stolc, D. Soukup, C. Beleznai
    Publisher: Springer; London; 2015; 55-99; ISBN 978-1-4471-6741-9
    Series: Z. Liu, H. Ukida, P. Ramuhalli, K. Niel (eds.); Advances in Computer Vision and Pattern Recognition
  • FlexWarp, a Fast and Flexible Method for High-Precision Image Registration: A Nonparametric Approach for Precise Image Registration Applied to Industrial Print Inspection;
    Integrated Imaging and Vision Techniques for Industrial Inspection: Advances and Aplications

    Author(s): H. Penz, F. Daubner, E. Bodenstorfer, R. Huber-Mörk
    Publisher: Springer; London; 2015; 101-139; ISBN 978-1-4471-6741-9
    Series: Z. Liu, H. Ukida, P. Ramuhalli, K. Niel (eds.)(; Advances in Computer Vision and Pattern Recognition
  • Automatic Coin Classification and Identification;
    Object Recognition Systems

    Author(s): R. Huber-Mörk, M. Nölle, M. Rubik, M. Hödlmoser, M. Kampel, S. Zambanini
    Publisher: INTECH; Rijeka, HR; 2012; 127-154; ISBN 979-953-307-621-7
    Series: I. Kypraios (ed); Advances in Object Recognition Systems
  • STABLE: Stochastic binary local descriptor for high-performance dense stereo matching
    Author(s): S. Štolc, K. Valentín, R. Huber-Mörk
    Conference Electronic Imaging - Image Processing: Machine Vision Applications IX, San Francisco, CA, USA
    Proceedings Proceedings of IS&T Electronic Imaging; 2016
  • Banknote crease detection and banknote fitness classification
    Author(s): R. Huber-Mörk, J. Ruisz
    Conference Electronic Imaging - Media Watermarking, Security, and Forensics, San Francisco, CA, USA
    Proceedings Proceedings of IS&T Electronic Imaging; 2016
  • On optimal illumination for DOVID description using photometric stereo
    Author(s): Daniel Soukup, Svorad Stolc, Reinhold Huber-Mörk
    Conference Advanced Concepts for Intelligent Vision Systems, Catania, IT
    Proceedings Proceedings of ACIVS; 2015
  • Mobile Hologram Verification with Deep Learning
    Author(s): D. Soukup, R. Huber-Mörk
    Conference International Conference on Machine Vision Applications, Nagoya, Japan
    Proceedings Proceedings of MVA; 2017
  • Line-scan stereo using binary descriptor matching and regularization
    Author(s): R. Huber-Mörk, K, Valentín, B. Blaschitz, S. Štolc
    Conference Electronic Imaging - Intelligent Robotics and Industrial Applications using Computer Vision, San Francisco, CA, USA
    Proceedings Proceedings of IS&T Electronic Imaging; 2017
  • Farbtreueprüfung, AT 512.440
    Inventor: R. Huber-Mörk, S. Stolc, K. Mayer
    Submission Date: 23.02.2016
    Issue Date: 15.08.2014
  • 3D-TDI, AT 515318
    Inventor: S. Stolc, R. Huber-Mörk, K. Mayer
    Submission Date: 23.02.2016
    Issue Date: 01.05.2015
  • Depth from Focus, AT 515520
    Inventor: R. Huber-Mörk, S. Stolc, D. Soukup
    Submission Date: 23.02.2016
    Issue Date: 15.10.2015

Further Information

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