Saliency-based framework for facial expression recognition

• Published in: Frontiers of Computer Science Vol. 13; no. 1; pp. 183 - 198
• Main Authors: KHAN, Rizwan Ahmed, MEYER, Alexandre, KONIK, Hubert, BOUAKAZ, Saida
• Format: Journal Article
• Language: English
• Published: Beijing Higher Education Press 01.02.2019; Springer Nature B.V; Springer Verlag
• Subjects: Accuracy; Algorithms; Brightness; classification; Communication; Computer Science; Computer Vision and Pattern Recognition; Entropy; Experiments; Eye movements; Face recognition; facial expression recognition; Graphics; Literature reviews; local binary pattern; Research Article; Salience; salient regions; entropy; brightness; salient regions; local binary pattern; classification; facial expression recognition

This article proposes a novel framework for the recognition of six universal facial expressions. The framework is based on three sets of features extracted from a face image: entropy, brightness, and local binary pattern. First, saliency maps are obtained using the state-of-the-art saliency detectio...