We propose a Bayesian framework for representing and recognizing local image motion in terms of two basic models: translational motion and motion boundaries. Motion boundaries are ...
When an observer moves through a rigid 3D scene, points that are near to the observer move with a different image velocity than points that are far away. The difference between im...
Michael S. Langer, Vincent Chapdelaine-Couture, Ri...
An approach for estimating the pose and motion of a known moving object in three dimensions from a sequence of monocular images is considered. The principle is to obtain initial e...
We present a method for real-time tracking of moving soft tissue with B-mode ultrasound (US). The method makes use of the speckle information contained in the US images to estimate...
Alexandre Krupa, Gabor Fichtinger, Gregory D. Hage...
Physics-based animal animations require data for realistic motion. This data is expensive to acquire through motion capture and inaccurate when estimated by an artist. Grammatical ...