Tracking the 3-D pose of an object needs correspondences between 2-D features in the image and their 3-D counterparts in the object model. A large variety of such features has been...
Thomas Brox, Bodo Rosenhahn, Daniel Cremers, Hans-...
Feature detection in flow fields is a well researched area, but practical application is often difficult due to the numerical complexity of the algorithms preventing interactive u...
Flow visualization in 3D is challenging due to perceptual problems such as occlusion, lack of directional cues, lack of depth cues, and visual complexity. In this paper we present...
Linear parameterized models of optical flow, particularly affine models, have become widespread in image motion analysis. The linear model coefficients are straightforward to estim...
David J. Fleet, Michael J. Black, Yaser Yacoob, Al...
In this paper we present a new method to estimate optical flow for large displacements. It is based on prediction of global flow field parameters, performs better than multiresolu...