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Vaizdo atpažinimas dirbtiniais neuroniniais tinklais / Image recognition with artificial neural networks

Darbe aprašoma tyrimas, kurio metu buvo sukurta programa, naudojantis OpenCV ir DNT klaidos skleidimo atgal algoritmu, gebanti aptikti ir bandanti klasifikuoti veidus. Darbo eigoje: • Įsigilinta į OpenCV funkcijų biblioteką; • Išanalizuota DNT teorinė medžiaga; • Sukurta programinė įranga, kuri, naudojantis „webcam“, geba aptikti ir bando klasifikuoti veidus; • Atliktas eksperimentinis tyrimas; • Nustatyti programos trūkumai; • Pateikti kiti sprendimo būdai; Realizuota programinė įranga gali būti naudojama edukaciniais tikslais. / The work describes an experiment,in which progress was created a software,by using OpenCV and ANN error back propagation algorithm capable of detecting and attempting to classify the faces. Workflow: • Delved deeply into the OpenCV library functions; • Analyzed the theoretical material of ANN • Developed the software, which, using webcam, is capable of detecting and trying to classify the faces; • Made an experimental study; • Determined the weaknesses of the program; • The other methods; created software can be used for educational purposes.

Identiferoai:union.ndltd.org:LABT_ETD/oai:elaba.lt:LT-eLABa-0001:E.02~2014~D_20140724_105651-16686
Date24 July 2014
CreatorsTamošiūnas, Darius
ContributorsPetkus, Tomas, Kurasova, Olga, Kazlauskas, Kazys, Medvedev, Viktor, Dzemyda, Gintautas, Slivinskas, Vytautas, Stankevičienė, Eglė, Lithuanian University of Educational Sciences
PublisherLithuanian Academic Libraries Network (LABT), Lithuanian University of Educational Sciences
Source SetsLithuanian ETD submission system
LanguageLithuanian
Detected LanguageEnglish
TypeMaster thesis
Formatapplication/pdf
Sourcehttp://vddb.library.lt/obj/LT-eLABa-0001:E.02~2014~D_20140724_105651-16686
RightsUnrestricted

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