We present systematic experiments showing how physiologically-grounded synthetic data can be used in training camera-based multi-parameter cardiopulmonary sensing.
We demonstrate that it is possible to perform face-related computer vision in the wild using synthetic data alone.
Non-contact physiological measurement has the potential to provide low-cost, non-invasive health monitoring.
Analysis of faces is one of the core applications of computer vision, with tasks ranging from landmark alignment, head pose estimation, expression recognition, and face recognition among others.
We present GazeDirector, a new approach for eye gaze redirection that uses model-fitting.
Images of the eye are key in several computer vision problems, such as shape registration and gaze estimation.