Zusammenfassung
In diesem Beitrag wird ein Gesichtserkennungssystem auf der Basis von DCT-Merkmalen und pseudo zweidimensionalen Hidden Markov Modellen vorgestellt. Das System wurde auf der Gesichtsdatenbasis des Olivetti Research Laboratory (ORL) getestet und erreichte eine Erkennungsrate von 100%. Ein Vergleich mit anderen Systemen zeigt, daß dieses die beste bisher publizierte Erkennungsrate ist. Die Vorteile des vorgestellten Systems gegenüber einem älteren, auch auf pseudo zweidimensionalen HMM basierenden Verfahren, werden analysiert.
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Eickeler, S., Müller, S., Rigoll, G. (1999). Gesichtserkennung mit Hidden Markov Modellen. In: Förstner, W., Buhmann, J.M., Faber, A., Faber, P. (eds) Mustererkennung 1999. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60243-6_40
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DOI: https://doi.org/10.1007/978-3-642-60243-6_40
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