Class-Conditional Probabilistic Principal Component Analysis: Application to Gender Recognition

This paper presents a solution to the problem of recognizing the gender of a human face from an image. We adopt a holistic approach by using the cropped and normalized texture of the face as input to a Naíve Bayes classifier. First it is introduced the Class-Conditional Probabilistic Principal Compo...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:Computación y Sistemas
Päätekijät: Juan Bekios Calfa, José M. Buenaposada, Luis Baumela
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Instituto Politécnico Nacional 2011
Aiheet:
Computación
face analysis
Gender classification
class conditional PPCA
Linkit:https://www.redalyc.org/articulo.oa?id=61520767005
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