Zusammenfassung
Der Versuch, statische Szenen zu erkennen, begann mit heuristischen Programmen, die auf eine spezielle Klasse von Szenen, die “Blocks-World” zugeschnitten waren /1,2/. Eine Verallgemeinerung dieser heuristischen Ansätze durch Formulierung von graphähnlichen Modellen wurde in /3,4/ dargestellt. Eine Erweiterung der Komplexität der Vorlagen auf natürliche Szenen begann mit den Arbeiten von Yakimovsky, Ohlander und Shirai /5, 6, 7/. Gleichzeitig vollzog sich der Übergang von heuristischen Programmen zur Formalisierung der Beschreibung von Segmentierung, Modellbildung und Interpretation der Szene /8/.
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Bertelsmeier, R., Radig, B. (1977). Kontextunterstützte Analyse von Szenen mit bewegten Objekten. In: Nagel, HH. (eds) Digitale Bildverarbeitung Digital Image Processing. Informatik — Fachberichte, vol 8. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-95298-2_10
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