Extraction of informative regions of a face for facial expression recognition
The aim of facial expression recognition (FER) algorithms is to extract discriminative features of a face. However, discriminative features for FER can only be obtained from the informative regions of a face. Also, each of the facial subregions have different impacts on different facial expressions....
Main Authors: | Sunil Kumar, M.K. Bhuyan, Biplab Ketan Chakraborty |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2016-09-01
|
Series: | IET Computer Vision |
Subjects: | |
Online Access: | https://doi.org/10.1049/iet-cvi.2015.0273 |
Similar Items
-
Use of septum as reference point in a neurophysiologic approach to facial expression recognition
by: Igor Stankovic, et al.
Published: (2013-08-01) -
Introducing a novel dataset for facial emotion recognition and demonstrating significant enhancements in deep learning performance through pre-processing techniques
by: Nursel Yalçin, et al.
Published: (2024-10-01) -
Critical parameters of the sparse representation‐based classifier
by: Elena Battini Sonmez, et al.
Published: (2013-12-01) -
Design of a Multi-Vision System for a Three-Dimensional Mug Shot Model to Improve Forensic Facial Identification
by: Samuele Giuliani, et al.
Published: (2024-10-01) -
Face recognition technology for video surveillance integrated with particle swarm optimization algorithm
by: You Qian
Published: (2024-01-01)