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Reconstruction and enhancement techniques for overcoming occlusion in facial recognition

Abstract Facial occlusions in surveillance footage can obscure important features, preventing facial recognition systems from identifying people. This work focuses on reconstructing these missing facial parts using Generative Adversarial Networks (GANs) to improve facial recognition accuracy while m...

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Principais autores: Filip Pleško, Tomáš Goldmann, Kamil Malinka
Format: Artigo
Sprog:Inglês
Udgivet: SpringerOpen 2025-05-01
Serier:EURASIP Journal on Image and Video Processing
Fag:
Facial recognition
Facial reconstruction
Image enhancement
Image inpainting
ArcFace
MagFace
Online adgang:https://doi.org/10.1186/s13640-025-00670-7
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