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.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.