Person Recognition using Facial Micro-Expressions with Deep Learning

Autor:	Kay, Tuval, Ringel, Yuval, Cohen, Khen, Azulay, Mor-Avi, Mendlovic, David
Rok vydání:	2023
Předmět:	Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
Popis:	This study investigates the efficacy of facial micro-expressions as a soft biometric for enhancing person recognition, aiming to broaden the understanding of the subject and its potential applications. We propose a deep learning approach designed to capture spatial semantics and motion at a fine temporal resolution. Experiments on three widely-used micro-expression databases demonstrate a notable increase in identification accuracy compared to existing benchmarks, highlighting the potential of integrating facial micro-expressions for improved person recognition across various fields. Comment: First two authors contributed equally
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2306.13907 Zobrazit plný text záznamu View this record from Arxiv