Estimation Of Edge Motion Based On Local Modeling

Abstract

This paper is concerned with an original procedure which has been designed to determine moving edges. An image sequence is considered as a 3D-space (x,y,t) and a moving local 2D-edge is modeled as a small planar patch in this 3D-space. A maximum likelihood procedure enables to simultaneously detect such planar patches and estimate their orientation (i.e., spatial direction of the corresponding 2D-edge element and perpendicular component of its displacement). The computational aspect of this method merely consists of convolution operations by considering appropriate local 3D-neighborhoods. This early processing is part of a robot vision algorithm for an obstacle avoidance task, currently developed at the laboratory.