Knowledge-Based Vision Systems

KVS develops analysis methods for image data on the basis of Computational Intelligence. One example is data-driven model building for the characterization of defect-free textures. KVS also researches logic-based and knowledge-based modeling of quality criteria and cognitive aspects in aesthetic evaluation. Rigid and deformable geometric structures are analyzed via registration. KVS’ research results are applied to motion analysis and tracking of objects and persons as well as to quality inspection for textured or shiny surfaces and 3D structures.


For completing the habilitation!


Dr. Bernhard Moser finished his habilitation at the Johannes Kepler University Linz with great sucess.

Mathematical Modeling of Event-Based Sampling - CfP

"Mathematical Modeling of Event-Based Sampling" will be a Special Session of the 3rd Inter. Conf. on Event-based Control, Communication, & Signal Processing.

This Special Session addresses fundamental differences between uniform and event-based sampling from a mathematical analysis point of view, and aims at approaches clarifying, tackling and overcoming challenges in this context.

Bernhard Moser is a co-organizer of the Special Session.

Important dates

Regular and special sessions papers

  • Submission deadline February 26, 2017
  • Acceptance notification April 9, 2017
  • Deadline for final manuscripts April 23, 2017


Work-in-progress papers

  • Submission deadline: April 11, 2017
  • Acceptance notification: April 18, 2017
  • Deadline for final manuscripts: April 23, 2017

Best Paper Award

At the OAGM conference

Bernhard Moser and Christian Motz won the Best Paper Award of the OAGM/AARP 2016 (Austrian Association for Pattern Recognition).

No nanoparticle shall evade us!

New process developed for measuring nanoparticles

In the realm of the project “Nanoparticle Tracking”, funded by the Austrian Research Promotion Agency, researchers at Software Competence Center Hagenberg (SCCH) have succeeded in significantly improving the analysis of nanoparticle samples.

Wide-Ranging applications for Motion Analysis

Extracting information from motion patterns

Automated motion analysis is an innovative technology that extracts information from motion patterns in objects or persons and processes such information using special mathematical methods. New developments in sensor technology and greater availability of computing power enables the analysis and optimization of ever more complex motion problems in industry, sports and medicine, e.g., motion analysis of stomach cancer cells for the purpose of precise diagnosis and therapy.

Call for Papers

Mathematical Modeling of Event-Based Sampling

IEEE International Converence on Event-based Control, Communications & Signal Processing

We invite you to send your paper for the Special Session SS05 within the EBCCSP 2015. The conference takes place from June 17 to June 19 in Kraków.