Abstract. This contribution presents a novel approach to the challenging problem of model selection in motion estimation from sequences of images. New light is cast on parametric m...
This paper presents an algorithm for the estimation of optical flow from a single, motion-blurred, color image. The proposed algorithm is based on earlier work that estimated the...
Yasmina Schoueri, Milena Scaccia, Ioannis M. Rekle...
Accurate estimation of optical flow is a challenging task, which often requires addressing difficult energy optimization problems. To solve them, most top-performing methods rely ...
Abstract. We use a simple yet powerful higher-order conditional random field (CRF) to model optical flow. It consists of a standard photoconsistency cost and a prior on affine mo...
An effective way to implement image processing applications is to use embedded processors with dynamically reconfigurable accelerator cores. The processing speed of these processor...