By Topic

Fast structure from motion recovery applied to 3D image stabilization

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

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

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