A non-invasive yet inexpensive method for heart rate (HR) monitoring is of\ngreat importance in many real-world applications including healthcare,\npsychology understanding, affective computing and biometrics. Face videos are\ncurrently utilized for such HR monitoring, but unfortunately this can lead to\nerrors due to the noise introduced by facial expressions, out-of-plane\nmovements, camera parameters (like focus change) and environmental factors. We\nalleviate these issues by proposing a novel face video based …