April 23, 2024, 4:46 a.m. | Qixuan Zhang, Zhifeng Wang, Yang Liu, Zhenyue Qin, Kaihao Zhang, Sabrina Caldwell, Tom Gedeon

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.13493v1 Announce Type: new
Abstract: In this paper, we present a novel benchmark for Emotion Recognition using facial landmarks extracted from realistic news videos. Traditional methods relying on RGB images are resource-intensive, whereas our approach with Facial Landmark Emotion Recognition (FLER) offers a simplified yet effective alternative. By leveraging Graph Neural Networks (GNNs) to analyze the geometric and spatial relationships of facial landmarks, our method enhances the understanding and accuracy of emotion recognition. We discuss the advancements and challenges in …

arxiv authentic benchmarking cs.cv emotion mapping type

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