AI RESEARCH
Time-varying rPPG signal separation via block-sparse signal model
arXiv CS.CV
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ArXi:2605.22425v1 Announce Type: cross Remote photoplethysmography (rPPG) enables non-contact measurement of cardiac pulse signals by analyzing subtle color changes in facial videos. Nevertheless, extracting rPPG signals remains challenging because of their extremely weak signal strength and susceptibility to illumination noise. In this paper, we propose an rPPG signal extraction method that exploits the quasi-periodic characteristics of rPPG signals.