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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| Main Authors: | Filip Pleško, Tomáš Goldmann, Kamil Malinka |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-05-01
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| Series: | EURASIP Journal on Image and Video Processing |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13640-025-00670-7 |
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