Comparison of Face Detection Methods Under the Influence of Lighting Variation
Resumo
Este artigo compara métodos de detecção facial sob variações de iluminação, destacando o impacto da iluminação na precisão dos algoritmos de reconhecimento facial. Foram analisados diferentes algoritmos, incluindo métodos baseados em Haar-Cascaded, baseados em Redes Neurais Artificiais e também Histograma de Gradientes Orientados. Os resultados indicam que, embora alguns métodos apresentem bom desempenho em condições de iluminação variadas, outros mostram quedas significativas de precisão em ambientes com pouca luz. A pesquisa contribui para o entendimento das limitações e capacidades dos métodos de detecção facial em diferentes condições de iluminação, sendo relevante para o desenvolvimento de sistemas mais robustos.
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