We introduce a generative model of dense flow fields within a layered representation of 3-dimensional scenes. Using probabilistic inference and learning techniques (namely, varia...
We describe how to build a VIDEOPLACE-like vision-driven user interface using "optical-flow" measurements. The optical-flow denotes the estimated movement of an image pat...
We propose an algorithm for large displacement opti-
cal flow estimation which does not require the commonly
used coarse-to-fine warping strategy. It is based on a
quadratic rel...
Just as a motion field is associated to a moving object, an audio field can be associated to an object that can behave as a sound source. The flow field of such a sound source whi...
The accurate estimation of motion in image sequences is
of central importance to numerous computer vision applications.
Most competitive algorithms compute flow fields
by minimi...
Andreas Wedel, Daniel Cremers, Thomas Pock, Horst ...