Evaluación de la calidad de la imagen facial para la mejora del sistema de reconocimiento con aprendizaje automático
DOI:
https://doi.org/10.15649/2346030X.3461Palabras clave:
rostro, redes neuronales, aprendizaje automáticoResumen
Marco de evaluación de la calidad de la imagen facial (FIQA) para mejorar la precisión del reconocimiento. Evalúa la calidad de la imagen utilizando varios factores y los combina para clasificar el índice de calidad del rostro. La técnica se evalúa en el conjunto de datos Color-Feret, superando a los métodos existentes con una fuerte correlación (0,95) entre las puntuaciones del sistema y las humanas.
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