Reconocimiento de expresiones faciales utilizando análisis de componentes principales kernel (kpca)


Authors

  • Alvaro Ángel Orozco G.
  • Mauricio Álvarez
  • Juan Gabriel Fetecua Valencia

Abstract

Este artículo presenta una metodología para el reconocimiento de expresiones faciales con análisis de componentes principales kernel, la base de datos utilizada es la Carnegie Mellon University como herramienta de prueba. El método utiliza una función kernel que mapea los datos del espacio característico original a uno de mayor dimensionalidad, de esta forma un problema de origen no lineal se traslada a uno lineal y puede resolverse linealmente, además los métodos basados en kernel pueden reducir el número de parámetros usados para la clasificación, este método es comparado con el análisis de componentes principales y es puesto a discusión donde los porcentajes de acierto encontrados con la base de datos son mayor al 90%.

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Published

2008-06-30

How to Cite

Orozco G., A. Ángel, Álvarez, M., & Fetecua Valencia, J. G. (2008). Reconocimiento de expresiones faciales utilizando análisis de componentes principales kernel (kpca). Scientia Et Technica, 1(38). Retrieved from https://revistas.utp.edu.co/index.php/revistaciencia/article/view/3683

Issue

Vol. 1 No. 38 (2008)

Section

Eléctrica

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