Enhancing video face recognition through Illumination and pose compensation models

This work envisions a strong framework for improving video-based face recognition by addressing simultaneously the issues of pose and illumination changes. Since even exhaustive efforts in face recognition research have not eliminated the impact of dynamic environments in real-world applications on...

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Autor principal:	Joshi Gajanan
Format:	Artigo
Idioma:	Inglês
Publicat:	EDP Sciences 2026-01-01
Col·lecció:	ITM Web of Conferences
Matèries:	face recognition video surveillance pose variation illumination compensation senres net rnft (regression network-based face tracking) deep learning transformer network cross-attention mechanism temporal dependency
Accés en línia:	https://www.itm-conferences.org/articles/itmconf/pdf/2026/01/itmconf_etmis2025_01014.pdf
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