Computer Vision

Point-based targets, such as checkerboards, are often not practical for outdoor camera calibration, as cameras are usually at significant heights requiring extremely large calibration patterns on the ground.

Marker-less motion capture is a challenging problem, particularly when monocular video is all that is available. We estimate biped control from monocular video by implicitly recovering physically plausible three-dimensional motion of a subject along with a character model (controller) capable of replaying this motion in other environments and under physical perturbations.