Remote photoplethysmography (rPPG) enables non-contact heart rate (HR) estimation from facial videos which gives significant convenience compared with traditional contact-based measurements. In the real-world long-term health monitoring scenario, distance of participants and their head movements usually vary by time, resulting in inaccurate rPPG measurement due to varying face resolution comple...

Translational motion compensation is a prerequisite of inverse synthetic aperture radar (ISAR) imaging. for datasets with low signal-to-noise ratio (SNR) important but challenging. In this work, we proposed noise-robust translational method based on high-order local polynomial transform–generalized scaled Fourier transform (HLPT-GSCFT). We first model the as fourth-order according to order-of-m...

Determining shape and structure of moving objects from a single-camera video of their motion has been an active research area. Good, robust solutions to this problem enable, for example, the detection of hand gestures and facial expressions of a human subject by observation from a single camera. The aim of this project is to study how feature tracking and motion factorization can be coupled to ...

Optical motion capture provides an impressive ability to replicate gestures. However, even with a highly professional system there are many instances where crucial markers are occluded or when the algorithm confuses the trajectory of one marker with that of another. This requires much editing work on the part of the animator before the virtual characters are ready for their screen debuts. In th...