A probabilistic approach to classification of digital face images

• Autorzy: Selianinau M.

Identyfikatory

DOI

dx.doi.org/10.16926/tiib.2018.06.40

Warianty tytułu

PL

Podejście probabilistyczne do klasyfikacji cyfrowych obrazów twarzy

• Języki publikacji: EN

Abstrakty

EN

In the present paper, we deal with the application of the probabilistic approach, which makes it possible to optimize the face image classification task. The mathematical expectations and variances of the investigated random parameters are used as basic statistics. The proposed method allows us to carry out a fast and reliable preliminary classification and to exclude obviously dissimilar face image from the further analysis.

PL

W niniejszej pracy mamy do czynienia z zastosowaniem podejścia probabilistycznego, które pozwala zoptymalizować zadanie klasyfikacji obrazów twarzy. Wartości oczekiwane i wariancje badanych parametrów losowych są stosowane jako podstawowe statystyki. Zaproponowana metoda pozwala przeprowadzić szybką i właściwą wstępną klasyfikację i wykluczyć bardzo odmienne obrazy twarzy z dalszej analizy.

Słowa kluczowe

EN

biometric identification; face recognition; facial geometry; anthropometric characteristic; identification features; statistical method

PL

identyfikacja biometryczna; rozpoznawanie twarzy; geometria twarzy; cecha antropometryczna; cechy identyfikacyjne; metoda statystyczna

• Wydawca: Wydawnictwo Uniwersytetu Humanistyczno-Przyrodniczego im. Jana Długosza w Częstochowie
• Czasopismo: Prace Naukowe Akademii im. Jana Długosza w Częstochowie. Technika, Informatyka, Inżynieria Bezpieczeństwa
• Rocznik: 2018
• Tom: T. 6
• Strony: 563--574
• Opis fizyczny: Bibliogr. 31. poz.

Twórcy

autor

Selianinau M.

• Wydział Matematyczno-Przyrodniczy Akademia im. Jana Długosza w Częstochowie al. Armii Krajowej 13/15, 42-200 Częstochowa

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).