Cargando…
Feature Selection on 2D and 3D Geometric Features to Improve Facial Expression Recognition
An essential aspect in the interaction between people and computers is the recognition of facial expressions. A key issue in this process is to select relevant features to classify facial expressions accurately. This study examines the selection of optimal geometric features to classify six basic fa...
Autores principales: | Perez-Gomez, Vianney, Rios-Figueroa, Homero V., Rechy-Ramirez, Ericka Janet, Mezura-Montes, Efrén, Marin-Hernandez, Antonio |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506644/ https://www.ncbi.nlm.nih.gov/pubmed/32867182 http://dx.doi.org/10.3390/s20174847 |
Ejemplares similares
-
Facial Expression Recognition with Geometric Scattering on 3D Point Clouds
por: He, Yi, et al.
Publicado: (2022) -
Uso de la Técnica Multiobjetivo NPGA para el Manejo de Restricciones en Algoritmos Genéticos
por: Mezura Montes, Efrén
Publicado: (2001) -
Haptic Manipulation of 3D Scans for Geometric Feature Enhancement
por: Turlapati, Sri Harsha, et al.
Publicado: (2021) -
Decoupling facial motion features and identity features for micro-expression recognition
por: Xie, Tingxuan, et al.
Publicado: (2022) -
Facial Expression Recognition with LBP and ORB Features
por: Niu, Ben, et al.
Publicado: (2021)