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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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Bibliografische gegevens
Hoofdauteurs: Filip Pleško, Tomáš Goldmann, Kamil Malinka
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: SpringerOpen 2025-05-01
Reeks:EURASIP Journal on Image and Video Processing
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Online toegang:https://doi.org/10.1186/s13640-025-00670-7
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