This paper describes a novel approach for recovering the structure and motion of a rigid textured surface from an image sequence. Camera focal length is also recovered, yielding m...
An algorithm for optical ow estimation is presented for the case of discrete-time motion of an uncalibrated camera through a rigid world. Unlike traditional optical ow approaches t...
Jeffrey Mendelsohn, Eero P. Simoncelli, Ruzena Baj...
We present a method for unsupervised learning of classes of motions in video. We project optical flow fields to a complete, orthogonal, a-priori set of basis functions in a probab...
Although the recent advances in the sparse representations of images have achieved outstanding denosing results, removing real, structured noise in digital videos remains a challen...
This report discusses a method that uses optical flow to estimate facial muscle movements which could then be recognized these movements as facial expressions. The. human face has...