Deep Random Forest for Facial Age Estimation Based on Face Images - Archive ouverte HAL Access content directly
Conference Papers Year :

Deep Random Forest for Facial Age Estimation Based on Face Images

, , , (1, 2, 3)
1
2
3

Abstract

The face image of an individual is important for most biometrics systems. The face picture gives loads of helpful informations, including the individual's personal identity, gender, ethnicity, age, emotional expression, and so forth. As of late, a few applications that endeavor age estimation have risen. This paper was aimed to address the problem of image-based human age estimation. It has the following main contributions. We used the advantages of the recent method and algorithms named Gcforest, which proved in several classification tasks, this novel approach includes the power of the decision trees and the advantages of a Cascades structure which allows the interaction between trees. We provide a comparison between two feature types handcrafted and deep feature, we used three databases FG NET, PAL and MORPH II.
Fichier principal
Vignette du fichier
Guehairia2020.pdf (148.94 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03566350 , version 1 (30-09-2022)

Licence

Attribution - NonCommercial - CC BY 4.0

Identifiers

Cite

Oussama Guehairia, Abdelmalik Ouamane, Fadi Dornaika, Abdelmalik Taleb-Ahmed. Deep Random Forest for Facial Age Estimation Based on Face Images. 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP 2020), May 2020, El Oued, Algeria. pp.305-309, ⟨10.1109/CCSSP49278.2020.9151621⟩. ⟨hal-03566350⟩
15 View
3 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More