ISPRS WG II/9

Vision Metrology

Our Mission

ISPRS Working Group II/9 addresses the development of new methodologies, algorithms, and applications for vision metrology. These include geometrical 2D, 3D, and 4D measurements as well as uncertainty assessment. The data sources include both passive and active sensors like cameras or depth sensors. Objects to be measured may significantly differ in their size, reaching from a few micrometers (e.g., crystals or parts of electronic components) up to several tens of meters (e.g., airplanes or wind turbines) as well as regarding their optical properties.

To this purpose, the WG supports workshops and conferences to exchange the latest developments regarding vision metrology. Furthermore, the WG intends to organize seminars and tutorials and to contribute with dedicated special issues in scientific journals. In order to increase the practical relevance and impact of new achievements, the WG intends to involve industrial partners more closely and to better represent the ISRPS in relevant professional associations. The WG also supports the creation of reliable test benchmarks to help researchers in evaluating the performance, robustness, and applicability of their algorithms.

Working Group Officers
Chair
	Markus Ulrich   Karlsruhe Institute of Technology (KIT) Campus South Institute of Photogrammetry and Remote Sensing (IPF) D-76128 Karlsruhe GERMANY +49 721 608 42315 markus.ulrich@kit.edu home page
Co-Chair
	Samanta Piano   University of Nottingham Advanced Manufacturing Building Jubilee Campus NG8 1BB Nottingham UNITED KINGDOM +44 0 1157486226 samanta.piano@nottingham.ac.uk home page
Co-Chair
	Michael Weinmann   Delft University of Technology Van Mourik Broekmanweg 6 2628 XE Delft THE NETHERLANDS M.Weinmann@tudelft.nl home page
Secretary
	Martin Weinmann   Karlsruhe Institute of Technology (KIT) Campus South Institute of Photogrammetry and Remote Sensing (IPF) D-76128 Karlsruhe GERMANY +49 721 608 47302 martin.weinmann@kit.edu home page
Supporters
Supporter
	Stuart Robson   University College London Department of Civi, Environmental and Geomatic Engineering Gower Street WC1E 6BBT UNITED KINGDOM s.robson@ucl.ac.uk home page

Terms of Reference

• Geometrical 2D, 3D, and 4D measurements
• Consideration and assessment of uncertainty
• Benchmarking
• Modeling and calibration of vision sensors and lenses
• Performance evaluation of active and passive sensor systems
• Machine learning for vision metrology
• Geometrical object inspection
• Sensor and object pose determination
• Vision-guided industrial robots
• Close-range photogrammetry
• Vision metrology for objects/scenes with complex optical material appearance
• Large-volume measurement applications
• Innovative industrial applications
• Machine Vision