Web: http://arxiv.org/abs/2107.13193

May 12, 2022, 1:10 a.m. | Ze Yang, Haofei Wang, Feng Lu

cs.CV updates on arXiv.org arxiv.org

Remote photoplethysmography (rPPG) monitors heart rate without requiring
physical contact, which allows for a wide variety of applications. Deep
learning-based rPPG have demonstrated superior performance over the traditional
approaches in controlled context. However, the lighting situation in indoor
space is typically complex, with uneven light distribution and frequent
variations in illumination. It lacks a fair comparison of different methods
under different illuminations using the same dataset. In this paper, we present
a public dataset, namely the BH-rPPG dataset, which contains …

arxiv cv deep deep learning learning rate remote

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