Face recognition techniques

• Autorzy: Romanyuk Olexander N. , Vyatkin Sergey I. , Pavlov Sergii V. , Mykhaylov Pavlo I. , Chekhmestruk Roman Y. , Perun Ivan V.

Identyfikatory

DOI

10.35784/iapgos.922

Warianty tytułu

PL

Techniki rozpoznawania twarzy

• Języki publikacji: EN

Abstrakty

EN

The problem of face recognition is discussed. The main methods of recognition are considered. The calibrated stereo pair for the face and calculating the depth map by the correlation algorithm are used. As a result, a 3D mask of the face is obtained. Using three anthropomorphic points, then constructed a coordinate system that ensures a possibility of superposition of the tested mask.

PL

Omawiany jest problem rozpoznawania twarzy. Rozważane są główne metody rozpoznawania. Użyta zostaje skalibrowana para stereo dla twarzy oraz obliczanie mapy głębokości poprzez algorytm korelacji. W wyniku takiego, uzyskiwanajest maska twarzy w wymiarze 3D. Użycie trzech antropomorficznych punktów, a następnie skonstruowany systemu współrzędnych zapewnia możliwość nakładania się przetestowanej maski.

Słowa kluczowe

EN

method of recognition stereo pair; depth map; correlation algorithm; perturbation function; operation of subtraction

PL

metoda rozpoznawania pary stereo; mapa głębi; algorytm korelacji; funkcja perturbacji; działanie odejmowania

• Wydawca: Wydawnictwo Politechniki Lubelskiej
• Czasopismo: Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
• Rocznik: 2020
• Tom: T. 10, nr 1
• Strony: 52--57
• Opis fizyczny: Bibliogr. 26 poz., rys.

Twórcy

autor

Romanyuk Olexander N.

• Vinnytsia National Technical University, Vinnitsa, Ukraine

autor

Vyatkin Sergey I.

• nstitute of Automation and Electrometry SB RAS, Novosibirsk, Russia

autor

Pavlov Sergii V.

• Vinnytsia National Technical University, Vinnitsa, Ukraine

autor

Mykhaylov Pavlo I.

• 3D GNERATION GmbH, Dortmund, Germany

autor

Chekhmestruk Roman Y.

• 3D GENERATION UA, Vinnitsa, Ukraine

autor

Perun Ivan V.

• 3D GENERATION UA, Vinnitsa, Ukraine

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).