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A. Reiterer, U. Egly, T. Eiter, H. Kahmen:
"A Knowledge-Based Decision System for an Image-Based Measurement";
Vortrag: The Eighth International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, Rom; 30.08.2005 - 02.09.2005; in: "Proceedings of the Eighth International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering", B. Topping (Hrg.); (2005), ISBN: 1-905088-03-5; S. 35 - 36.

High-precision online 3D-measurement systems can perform their measurements
with and without targeting. Systems which are able to measure without artificial targets use the texture on the surface of the object to find 'interesting points'. However, well-trained 'measurement experts' are required to operate such a measurement system.
In order to make such systems easy to use even for non-experts, we extend it by a knowledge-based component which supports the operator. We report on the architecture and functionality of the respective knowledge-based system, its development stage and the promising results obtained in experimentation.

http://aleph.ub.tuwien.ac.at/F?base=tuw01&func=find-c&ccl_term=AC05936033