This paper presents methods for detection and reconstruction of `missing' data in image sequences which can be modelled using 3-dimensional autoregressive (3DAR) models. The ...
Abstract. Virtually all variational methods for motion estimation regularize the gradient of the flow field, which introduces a bias towards piecewise constant motions in weakly te...
Werner Trobin, Thomas Pock, Daniel Cremers, Horst ...
Psychophysical experiments show that humans are better at perceiving rotation and expansion than translation. These findings are inconsistent with standard models of motion integr...
We present an approach for extracting coherently sampled animated meshes from input sequences of incoherently sampled meshes representing a continuously evolving shape. Our approa...
The problem of estimating motion and structure from a sequence of images has been a major research theme in machine vision for many years and remains one of the most challenging o...
Mustafa Unel, Asif Sabanovic, Burak Yilmaz, Eray D...