Dynamic Resolution Guidance for Facial Expression Recognition

arXiv:2404.06365v1 Announce Type: new
Abstract: Facial expression recognition (FER) is vital for human-computer interaction and emotion analysis, yet recognizing expressions in low-resolution images remains challenging. This paper introduces a practical method called Dynamic Resolution Guidance for Facial Expression Recognition (DRGFER) to effectively recognize facial expressions in images with varying resolutions without compromising FER model accuracy. Our framework comprises two main components: the Resolution Recognition Network (RRN) and the Multi-Resolution Adaptation Facial Expression Recognition Network (MRAFER). The RRN determines image resolution, …

abstract analysis arxiv computer cs.cv cs.mm dynamic emotion guidance human human-computer interaction images low paper practical recognition resolution type vital