Abstract
Current approaches to machine vision attempt to evaluate many different kinds of knowledge, for example knowledge about shape and coloring of objects, about their illumination, and about the imaging geometry. The computer-internal representation and evaluation of these types of knowledge require mechanisms different from those employed in current expert systems. The question, which kind of knowledge is taken into account and how it is evaluated, can guide towards the true reasons for success and failure in the application of machine vision systems.
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Nagel, HH. (1985). Wissensgestützte Ansätze beim maschinellen Sehen: Helfen sie in der Praxis ?. In: Brauer, W., Radig, B. (eds) Wissensbasierte Systeme. Informatik-Fachberichte, vol 112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-70840-4_14
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