Recursive depth estimation from a sequence of images

Abstract

This paper gives the theoretical framework for recursively estimating the depth and motion parameters from the image motion equation derived using the spherical projection. An extended Kalman filter is employed for estimation. Results have been found to be encouraging in some cases when applied on two case studies involving vase and cube respectively.