The development of an online knowledge-based videotheodolite measurement system |
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| Affiliation: | 1. Fondazione Bruno Kessler, Laboratory of Biomolecular Sequence and Structure Analysis for Health, Via Sommarive 18, 38123, Povo, Trento, Italy;2. CNR - Institute of Biophysics, Unit at Trento, via alla Cascata 56, 38123, Povo, Trento, Italy;3. Fondazione Bruno Kessler, Center for Materials and Microsystems, MNF-MateC, via Sommarive 18, I-38123, Povo, Trento, Italy;4. Department of Applied Science and Technology, Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino I-10129, Italy;5. CNR-IMEM, Parco Area delle Scienze 37a, 43124 Parma, Italy;2. Radboud University Medical Center, Nijmegen, The Netherlands;3. Leiden University Medical Center, Leiden, The Netherlands |
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| Abstract: | Videotheodolite measurement systems have been used in various surveying applications for several years. Unfortunately, most of such systems required artificial targets defining object points. To overcome this restriction the texture on the surface of the object can be used 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. |
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