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Effect of defocus blur on the signal distribution of camera-based remote photoplethysmography
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Paper 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.

Paper Details

Date Published: 18 November 2019
PDF: 8 pages
Proc. SPIE 11187, Optoelectronic Imaging and Multimedia Technology VI, 111871A (18 November 2019); doi: 10.1117/12.2536628
Show Author Affiliations
Shuang Yang, Zhejiang Univ. (China)
Yudong Zhu, Zhejiang Univ. (China)
Sailing He, Zhejiang Univ. (China)


Published in SPIE Proceedings Vol. 11187:
Optoelectronic Imaging and Multimedia Technology VI
Qionghai Dai; Tsutomu Shimura; Zhenrong Zheng, Editor(s)

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