[2603.27798] Towards Emotion Recognition with 3D Pointclouds Obtained from Facial Expression Images

Computer Science > Computer Vision and Pattern Recognition arXiv:2603.27798 (cs) [Submitted on 29 Mar 2026] Title:Towards Emotion Recognition with 3D Pointclouds Obtained from Facial Expression Images Authors:Laura Rayón Ropero, Jasper De Laet, Filip Lemic, Pau Sabater Nácher, Nabeel Nisar Bhat, Sergi Abadal, Jeroen Famaey, Eduard Alarcón, Xavier Costa-Pérez View a PDF of the paper titled Towards Emotion Recognition with 3D Pointclouds Obtained from Facial Expression Images, by Laura Ray\'on Ropero and 8 other authors View PDF HTML (experimental) Abstract:Facial Emotion Recognition is a critical research area within Affective Computing due to its wide-ranging applications in Human Computer Interaction, mental health assessment and fatigue monitoring. Current FER methods predominantly rely on Deep Learning techniques trained on 2D image data, which pose significant privacy concerns and are unsuitable for continuous, real-time monitoring. As an alternative, we propose High-Frequency Wireless Sensing (HFWS) as an enabler of continuous, privacy-aware FER, through the generation of detailed 3D facial pointclouds via on-person sensors embedded in wearables. We present arguments supporting the privacy advantages of HFWS over traditional 2D imaging, particularly under increasingly stringent data protection regulations. A major barrier to adopting HFWS for FER is the scarcity of labeled 3D FER datasets. Towards addressing this issue, we introduce a FLAME-based method to generate 3D...