Improved likelihood ratios for face recognition in surveillance video by multimodal feature pairing
In forensic and security scenarios, accurate facial recognition in surveillance videos, often challenged by variations in pose, illumination, and expression, is essential. Traditional manual comparison methods lack standardization, revealing a critical gap in evidence reliability. We propose an enha...
| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado em: |
Elsevier
2024-01-01
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| coleção: | Forensic Science International: Synergy |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S2589871X24000056 |