Please use this identifier to cite or link to this item: http://elartu.tntu.edu.ua/handle/lib/53847
Title: Enhancing facial verification in surveillance systems through super-resolution preprocessing and multi-model embedding concatenation
Authors: Khanin, Denys
Otenko, Viktor
Affiliation: Lviv Polytechnic National University
Bibliographic description (Ukraine): Khanin 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.
Bibliographic reference (2015): Khanin 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.
Bibliographic citation (APA): Khanin, 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..
Bibliographic citation (CHICAGO): Khanin 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.
Is part of: Матеріали ⅩⅤ Міжнародної науково-технічної конференції ITSec: Безпека інформаційних технологій, 2026
Proceedings of the 15th International Scientific and Technical Conference ITSec: Information Technology Security, 2026
Conference/Event: ⅩⅤ Міжнародна науково-технічна конференція ITSec: Безпека інформаційних технологій
Journal/Collection: Матеріали ⅩⅤ Міжнародної науково-технічної конференції ITSec: Безпека інформаційних технологій
Issue Date: 27-Mei-2026
Date of entry: 27-Agu-2026
Publisher: ТНТУ
TNTU
Place of the edition/event: Тернопіль
Ternopil
Temporal Coverage: 27-29 травня 2026 року
27-29 May 2026
UDC: 004.93 (004.8)
Number of pages: 3
Page range: 341-343
Start page: 341
End page: 343
URI: http://elartu.tntu.edu.ua/handle/lib/53847
Copyright owner: © Кафедра кібербезпеки Тернопільського національного технічного університету імені Івана Пулюя, 2026
References (International): 1. 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.
2. Goel R., Mehmood I., Ugail H. A Study of Deep Learning-Based Face Recognition Models for Sibling Identification. Sensors. 2021. Vol. 21. 5068.
3. Khanin D., Otenko V., Khoma V. Research on the effectiveness of concatenated embeddings in facial verification. CSDP-2024, Lviv Polytechnic National University, Lviv, Ukraine.
4. Khanin D. Comparative analysis of embedding normalization methods in face recognition systems. SCIFiC-2024, National Aerospace University "Kharkiv Aviation Institute".
5. Khanin D., Otenko V. Comparative analysis of super-resolution methods for improving face recognition accuracy. Computer Systems and Networks. 2025. Vol. 7, No. 1.
6. Sengupta S., Cheng J.C., Castillo C.D. et al. Frontal to Profile Face Verification in the Wild. IEEE WACV. 2016.
7. 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.
8. Chen Y., Tai Y., Liu X. et al. FSRNet: End-to-End Learning Face Super- Resolution with Facial Priors. CVPR. 2018. P. 2492–2501.
Content type: Conference Abstract
Appears in Collections:ⅩⅤ Міжнародна науково-технічна конференція ITSec: Безпека інформаційних технологій (2026)



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