Cargando…
Facial Expression Recognition with LBP and ORB Features
Emotion plays an important role in communication. For human–computer interaction, facial expression recognition has become an indispensable part. Recently, deep neural networks (DNNs) are widely used in this field and they overcome the limitations of conventional approaches. However, application of...
Autores principales: | Niu, Ben, Gao, Zhenxing, Guo, Bingbing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7815390/ https://www.ncbi.nlm.nih.gov/pubmed/33505453 http://dx.doi.org/10.1155/2021/8828245 |
Ejemplares similares
-
Facial Expression Recognition Methods in the Wild Based on Fusion Feature of Attention Mechanism and LBP
por: Liao, Jun, et al.
Publicado: (2023) -
Multi-Layer Sparse Representation for Weighted LBP-Patches Based Facial Expression Recognition
por: Jia, Qi, et al.
Publicado: (2015) -
Facial Feature Extraction Using a Symmetric Inline Matrix-LBP Variant for Emotion Recognition
por: Babu, Eaby Kollonoor, et al.
Publicado: (2022) -
Face presentation attack detection performances of facial regions with multi-block LBP features
por: Günay Yılmaz, Asuman, et al.
Publicado: (2023) -
A High Precision Feature Based on LBP and Gabor Theory for Face Recognition
por: Xia, Wei, et al.
Publicado: (2013)