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18 November 2019 Effect of defocus blur on the signal distribution of camera-based remote photoplethysmography
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Abstract
Heart rate can be extracted from facial videos by camera-based remote photoplethysmography (rPPG). For a defocus blurred facial image, the edge of the face is blurred and the pixels near this region will be contaminated by the background light. In this paper, we map rPPG signal quality (rPPGSQ) on faces in videos with different degrees of defocus and propose a method to evaluate the effect of defocus blur on the signal distribution of rPPG. Our results show that the degradation factor (DF) introduced in this paper can evaluate the effect of defocus blur on rPPGSQ effectively, and provide a clear region of high-rPPGSQ that can be selected as the optimized region of interest (ROI) in rPPG applications.
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Shuang Yang, Yudong Zhu, and Sailing He "Effect of defocus blur on the signal distribution of camera-based remote photoplethysmography", Proc. SPIE 11187, Optoelectronic Imaging and Multimedia Technology VI, 111871A (18 November 2019); https://doi.org/10.1117/12.2536628
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