Self‐adaptive weighted synthesised local directional pattern integrating with sparse autoencoder for expression recognition based on improved multiple kernel learning strategy

Self‐adaptive weighted synthesised local directional pattern integrating with sparse autoencoder for expression recognition based on improved multiple kernel learning strategy

This study presents a novel method for solving facial expression recognition (FER) tasks which uses a self‐adaptive weighted synthesised local directional pattern (SW‐SLDP) descriptor integrating sparse autoencoder (SA) features based on improved multiple kernel learning (IMKL) strategy. The authors...

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Bibliographic Details
Main Authors: Lingshuang Du, Yongbo Wu, Haifeng Hu, Weixuan Wang
Format: Article
Language:English
Published: Wiley 2020-04-01
Series:IET Computer Vision
Subjects:
self-adaptive weighted synthesised local directional pattern
sparse autoencoder
improved multiple kernel learning strategy
facial expression recognition tasks
novel SW-SLDP feature descriptor
facial images
Online Access:https://doi.org/10.1049/iet-cvi.2018.5127

Internet

https://doi.org/10.1049/iet-cvi.2018.5127

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