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Proceedings Paper

A Pel-Recursive Wiener-Based Algorithm For The Simultaneous Estimation Of Rotation And Translation
Author(s): J. Biemond; J. N. Driessen; A. M. Geurtz; D. E. Boekee
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Paper Abstract

In this paper we derive a pel-recursive Wiener-based algorithm for the estimation of rotation and translation parameters in consecutive frames of an image sequence. The estimator minimizes the transformed frame difference (tfd) and the derivation is based on a Linearization of this tfd and a Wiener solution of the resulting stochastic linear observation equations. The use of a causal window and a segmentation algorithm allow the algorithm to work in a pet-recursive coding environment. Experiments on synthetic transformed data show that the algorithm is capable of estimating the motion parameters. Experiments on real coding data show a little gain in coding efficiency compared with existing pet-recursive displacement estimators. However, performance can be improved by a better segmentation algorithm and by taking into account the effect of motion boundaries.

Paper Details

Date Published: 25 October 1988
PDF: 8 pages
Proc. SPIE 1001, Visual Communications and Image Processing '88: Third in a Series, (25 October 1988); doi: 10.1117/12.969043
Show Author Affiliations
J. Biemond, Delft University of Technology (The Netherlands)
J. N. Driessen, Delft University of Technology (The Netherlands)
A. M. Geurtz, Delft University of Technology (The Netherlands)
D. E. Boekee, Delft University of Technology (The Netherlands)


Published in SPIE Proceedings Vol. 1001:
Visual Communications and Image Processing '88: Third in a Series
T. Russell Hsing, Editor(s)

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