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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/28350
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dc.contributor.authorFrolov, I.-
dc.contributor.authorSamal, D.-
dc.date.accessioned2017-12-06T11:32:10Z-
dc.date.available2017-12-06T11:32:10Z-
dc.date.issued2016-
dc.identifier.citationFrolov, I. Algorithm of Preparation of Training Sample Using 3d-Modelling of Faces / I. Frolov, D. Samal // International Conference on Pattern Recognition and Information Processing: Proceedings of the 13th International Conference, October 3-5, 2016. – Minsk: Publishing Center of BSU, 2016. – P. 109–112.ru_RU
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/28350-
dc.description.abstractThe algorithm to preprocess the training sample of multi-class classifier support vector machine (SVM) is described in the paper. This provided approach is based on the modeling of possible changes of the face features of human recognition, which influence on training classifier and respectively on further results of recognition. Age, emotional face expressions, head rotation, different lighting conditions, noise, and some combinations of mentioned parameters were selected as the major parameters for modelingru_RU
dc.language.isoenru_RU
dc.publisherMinsk: Publishing Center of BSUru_RU
dc.subjectпубликации ученыхru_RU
dc.subject3D-modellingru_RU
dc.subjectimage processingru_RU
dc.subjectfeatures extractionru_RU
dc.titleAlgorithm of Preparation of Training Sample Using 3d-Modelling of Facesru_RU
dc.typeСтатьяru_RU
Appears in Collections:Публикации в изданиях Республики Беларусь

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