Reconocimientos de expresiones faciales prototipo usando ica.


Authors

  • Damian Alvarez
  • Marta L. Guevara

DOI:

https://doi.org/10.22517/23447214.2859

Abstract

En este documento se plantea una metodología con el fin de reconocer expresiones faciales prototipo, es decir aquellas asociadas a emociones universales. Esta metodología está compuesta por tres etapas: segmentación del rostro utilizando filtros Haar y clasificadores en cascada, extracción de características basada en el análisis de componentes independientes (ICA) y clasificación de las expresiones faciales utilizando el clasificador del vecino más cercano (KNN). Particularmente se reconocerán cuatro emociones: tristeza, alegría, miedo y enojo más rostros neutrales. La validación de la metodología se realizó sobre secuencias de imágenes de la base de datos FEEDTUM, alcanzando un desempeño promedio de 98.72% de exactitud para el reconocimiento de cinco clases.

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Published

2009-05-30

How to Cite

Alvarez, D., & Guevara, M. L. (2009). Reconocimientos de expresiones faciales prototipo usando ica. Scientia Et Technica, 1(41). https://doi.org/10.22517/23447214.2859

Issue

Vol. 1 No. 41 (2009)

Section

Eléctrica

License

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