Segmentation has gained in popularity in stereo matching. However, it is not trivial to incorporate it in optical flow estimation due to the possible non-rigid motion problem. In t...
We develop a method for learning the spatial statistics of optical flow fields from a novel training database. Training flow fields are constructed using range images of natur...
Several functional and biomedical imaging techniques rely on determining hemodynamic variables and their changes in large vascular networks. To do so at micro-vascular resolution ...
In this paper, we present a method for human action recognition from multi-view image sequences that uses the combined motion and shape flow information with variability considera...
We perform a qualitative and quantitative analysis of various multi-framecolor optical flow methods for synthetic and real panning and zooming image sequences. We show that optica...