The monitoring of physiological parameters is a crucial topic in promoting human health and
an indispensable approach for assessing physiological status and diagnosing diseases …

Many computer vision techniques infer properties of our physical world from images.
Although images are formed through the physics of light and mechanics, computer vision …

Subtle periodic signals such as blood volume pulse and respiration can be extracted from
RGB video, enabling noncontact health monitoring at low cost. Advancements in remote …

Camera-based physiological measurement is a fast growing field of computer vision.
Remote photoplethysmography (rPPG) utilizes imaging devices (eg, cameras) to measure …

Video-based remote physiological measurement utilizes facial videos to measure the blood
volume change signal, which is also called remote photoplethysmography (rPPG) …

The remote photoplethysmography (rPPG) technique can estimate pulse-related metrics (eg
heart rate and respiratory rate) from facial videos and has a high potential for health …

Subtle variations are invisible to the naked eyes in human physiological signals can reflect
important biological and health indicators. Although numerous computer vision methods …

Synthetic data are becoming a critical tool for building artificially intelligent systems.
Simulators provide a way of generating data systematically and at scale. These data can …

While perspective is a well-studied topic in art, it is generally taken for granted in images.
However, for the recent wave of high-quality image synthesis methods such as latent …

Remote photoplethysmography (rPPG)-based physiological measurement is an emerging
yet crucial vision task, whose challenge lies in exploring accurate rPPG prediction from …