arXiv · 2306.13907
Person Recognition using Facial Micro-Expressions with Deep Learning
Abstract
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.
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Tuval Kay, Yuval Ringel, Khen Cohen, Mor-Avi Azulay, David Mendlovic. 2023-06-24. Person Recognition using Facial Micro-Expressions with Deep Learning. https://arxiv.org/abs/2306.13907
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