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Optical Engineering

Motion displacement estimation using an affine model for image matching
Author(s): Chiou-Shann Fuh; Petros Maragos
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Paper Abstract

A model is developed for estimating the displacement field in spatio-temporal image sequences that allows for affine shape deformations of corresponding spatial regions and for affine transformations of the image intensity range. This model includes the block matching method as a special case. The model parameters are found by using a least-squares algorithm. We demonstrate experimentally that the affine matching algorithm performs better in estimating displacements than other standard approaches, especially for long-range motion with possible changes in scene illumination. The algorithm is successfully applied to various classes of moving imagery, including the tracking of cloud motion.

Paper Details

Date Published: 1 July 1991
PDF: 7 pages
Opt. Eng. 30(7) doi: 10.1117/12.55885
Published in: Optical Engineering Volume 30, Issue 7
Show Author Affiliations
Chiou-Shann Fuh
Petros Maragos, Harvard Univ. (United States)


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