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DC poleHodnotaJazyk
dc.contributor.authorKhanin, Denys
dc.contributor.authorOtenko, Viktor
dc.coverage.temporal27-29 травня 2026 року
dc.coverage.temporal27-29 May 2026
dc.date.accessioned2026-08-27T15:44:00Z-
dc.date.available2026-08-27T15:44:00Z-
dc.date.created2026-05-27
dc.date.issued2026-05-27
dc.identifier.citationKhanin D. Enhancing facial verification in surveillance systems through super-resolution preprocessing and multi-model embedding concatenation / Denys Khanin, Viktor Otenko // ITSEC, 27-29 May 2026. — Tern. : TNTU, 2026. — P. 341–343.
dc.identifier.urihttp://elartu.tntu.edu.ua/handle/lib/53847-
dc.format.extent341-343
dc.language.isoen
dc.publisherТНТУ
dc.publisherTNTU
dc.relation.ispartofМатеріали ⅩⅤ Міжнародної науково-технічної конференції ITSec: Безпека інформаційних технологій, 2026
dc.relation.ispartofProceedings of the 15th International Scientific and Technical Conference ITSec: Information Technology Security, 2026
dc.titleEnhancing facial verification in surveillance systems through super-resolution preprocessing and multi-model embedding concatenation
dc.typeConference Abstract
dc.rights.holder© Кафедра кібербезпеки Тернопільського національного технічного університету імені Івана Пулюя, 2026
dc.coverage.placenameТернопіль
dc.coverage.placenameTernopil
dc.format.pages3
dc.subject.udc004.93 (004.8)
dc.relation.referencesen1. Zou W.W., Yuen P.C. Very low resolution face recognition problem. IEEE Transactions on Image Processing. 2012. Vol. 21, No. 1. P. 327–340.
dc.relation.referencesen2. Goel R., Mehmood I., Ugail H. A Study of Deep Learning-Based Face Recognition Models for Sibling Identification. Sensors. 2021. Vol. 21. 5068.
dc.relation.referencesen3. Khanin D., Otenko V., Khoma V. Research on the effectiveness of concatenated embeddings in facial verification. CSDP-2024, Lviv Polytechnic National University, Lviv, Ukraine.
dc.relation.referencesen4. Khanin D. Comparative analysis of embedding normalization methods in face recognition systems. SCIFiC-2024, National Aerospace University "Kharkiv Aviation Institute".
dc.relation.referencesen5. Khanin D., Otenko V. Comparative analysis of super-resolution methods for improving face recognition accuracy. Computer Systems and Networks. 2025. Vol. 7, No. 1.
dc.relation.referencesen6. Sengupta S., Cheng J.C., Castillo C.D. et al. Frontal to Profile Face Verification in the Wild. IEEE WACV. 2016.
dc.relation.referencesen7. Wang X., Xie L., Dong C., Shan Y. Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data. ICCV Workshops. 2021. P. 1905–1914.
dc.relation.referencesen8. Chen Y., Tai Y., Liu X. et al. FSRNet: End-to-End Learning Face Super- Resolution with Facial Priors. CVPR. 2018. P. 2492–2501.
dc.contributor.affiliationLviv Polytechnic National University
dc.citation.journalTitleМатеріали ⅩⅤ Міжнародної науково-технічної конференції ITSec: Безпека інформаційних технологій
dc.citation.spage341
dc.citation.epage343
dc.citation.conferenceⅩⅤ Міжнародна науково-технічна конференція ITSec: Безпека інформаційних технологій
dc.identifier.citation2015Khanin D., Otenko V. Enhancing facial verification in surveillance systems through super-resolution preprocessing and multi-model embedding concatenation // ITSEC, Ternopil, 27-29 May 2026. 2026. P. 341–343.
dc.identifier.citationenAPAKhanin, D., & Otenko, V. (2026). Enhancing facial verification in surveillance systems through super-resolution preprocessing and multi-model embedding concatenation. Proceedings of the 15th International Scientific and Technical Conference ITSec: Information Technology Security, 27-29 May 2026, Ternopil, 341-343. TNTU..
dc.identifier.citationenCHICAGOKhanin D., Otenko V. (2026) Enhancing facial verification in surveillance systems through super-resolution preprocessing and multi-model embedding concatenation. Proceedings of the 15th International Scientific and Technical Conference ITSec: Information Technology Security (Tern., 27-29 May 2026), pp. 341-343.
Vyskytuje se v kolekcích:ⅩⅤ Міжнародна науково-технічна конференція ITSec: Безпека інформаційних технологій (2026)



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