TECHNIKI ROZPOZNAWANIA TWARZY
Olexandr N. Romanyuk
Vinnitsa National Technical University (Ukraina)
http://orcid.org/0000-0002-2245-3364
Sergey I. Vyatkin
Institute of Automation and Electrometry SB RAS, Novosibirsk (Federacja Rosyjska)
http://orcid.org/0000-0002-1591-3588
Sergii V. Pavlov
psv@vntu.edu.uaVinnitsa National Technical University (Ukraina)
http://orcid.org/0000-0002-0051-5560
Pavlo I. Mykhaylov
3D GNERATION GmbH, Dortmund (Niemcy)
http://orcid.org/0000-0001-5861-5970
Roman Y. Chekhmestruk
3D GENERATION UA, Vinnitsa (Ukraina)
http://orcid.org/0000-0002-5362-8796
Ivan V. Perun
3D GENERATION UA, Vinnitsa (Ukraina)
http://orcid.org/0000-0001-7402-4417
Abstrakt
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, uzyskiwana jest maska twarzy w wymiarze 3D. Użycie trzech antropomorficznych punktów, a następnie skonstruowany systemu współrzędnych zapewnia możliwość nakładania się przetestowanej maski.
Słowa kluczowe:
metody rozpoznawania pary stereo, mapa głębi, algorytm korelacji, funkcje perturbacji, działanie odejmowaniaBibliografia
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Autorzy
Olexandr N. RomanyukVinnitsa National Technical University Ukraina
http://orcid.org/0000-0002-2245-3364
Autorzy
Sergey I. VyatkinInstitute of Automation and Electrometry SB RAS, Novosibirsk Federacja Rosyjska
http://orcid.org/0000-0002-1591-3588
Autorzy
Sergii V. Pavlovpsv@vntu.edu.ua
Vinnitsa National Technical University Ukraina
http://orcid.org/0000-0002-0051-5560
Autorzy
Roman Y. Chekhmestruk3D GENERATION UA, Vinnitsa Ukraina
http://orcid.org/0000-0002-5362-8796
Statystyki
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Licencja
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