In this paper, we address 3D image stabilization using a framework for the estimation of scene structure from a monocular motion field. We show that our algorithm rapidly and accurately determines the focus of expansion (FOE) in an optical flow field. This involves computing the least squares error of a large system of equations without actually solving the equations, to generate an error surface that describes the goodness of fit as a function of the hypothesized FOE. Consequently, we recover the rotational motion which we use to perform 3D image stabilization
Published in:
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
(Volume:6
)
Date of Conference: 15-19 Mar 1999