DrFER: Learning Disentangled Representations for 3D Facial Expression Recognition

arXiv:2403.08318v1 Announce Type: new
Abstract: Facial Expression Recognition (FER) has consistently been a focal point in the field of facial analysis. In the context of existing methodologies for 3D FER or 2D+3D FER, the extraction of expression features often gets entangled with identity information, compromising the distinctiveness of these features. To tackle this challenge, we introduce the innovative DrFER method, which brings the concept of disentangled representation learning to the field of 3D FER. DrFER employs a dual-branch framework to …

abstract analysis arxiv context cs.cv extraction facial analysis features identity information recognition type