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Fast structure from motion recovery applied to 3D image stabilization

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2 Author(s)
Srinivasan, S. ; Center for Autom. Res., Maryland Univ., College Park, MD, USA ; Chellappa, R.

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

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