Enhancing Facial Expression Recognition through Light Field Cameras

• Published in: Sensors (Basel, Switzerland) Vol. 24; no. 17; p. 5724
• Main Authors: Oucherif, Sabrine Djedjiga, Nawaf, Mohamad Motasem, Boï, Jean-Marc, Nicod, Lionel, Mallor, Elodie, Dubuisson, Séverine, Merad, Djamal
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 03.09.2024
• Subjects: Accuracy; Algorithms; Aperture; Automated Facial Recognition - methods; Cameras; Datasets; Facial Expression; facial expression recognition; Humans; Image Processing, Computer-Assisted - methods; Light; light field cameras; multimodality; Neural Networks, Computer; Pattern Recognition, Automated - methods; light field cameras; facial expression recognition; multimodality

In this paper, we study facial expression recognition (FER) using three modalities obtained from a light field camera: sub-aperture (SA), depth map, and all-in-focus (AiF) images. Our objective is to construct a more comprehensive and effective FER system by investigating multimodal fusion strategie...