We consider kernel density estimation when the observations are contaminated by measurement errors. It is well known that the success of kernel estimators depends heavily on the c...
We present an iterative algorithm for robustly estimating the egomotion and refining and updating a coarse, noisy and partial depth map using a depth based parallax model and brig...
This paper presents a motion estimation and segmentation algorithm based on multiple parametric model estimation that determines the a priori unknown number of motion models prese...
Robust motion estimation is obtained by integrating optical flow and region tracking methods into a closedloop architecture. To ensure robust tracking over long intervals in video...
Suppression of ringing effect is a challenging problem. It is mainly caused by absence of effective methods of ringing artifact detection. In this paper we introduce a ringing est...