Three-dimensional attitude estimation and tracking by multicorrelation technique with normalized optimal trade-off filters

Sylvie G. Tonda; Philippe Refregier

doi:10.1117/12.242006

7 June 1996 Three-dimensional attitude estimation and tracking by multicorrelation technique with normalized optimal trade-off filters

Sylvie G. Tonda, Philippe Refregier

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Proceedings Volume 2751, Hybrid Image and Signal Processing V; (1996) https://doi.org/10.1117/12.242006
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

We introduce a three-dimensional target attitude estimation method based on the linear optimal filtering and the signal processing prediction algorithms. By estimating the three- dimensional attitude and the scale of the target, we are able to predict the temporal trajectory of the target and to perform a robust tracking. Most cases of parameter estimation with the help of correlation deal with the two- dimensional estimation of position, scale and object rotation. Treating a three-dimensional parameter estimation problem leads to an increase in the number of correlation filters. We propose a strategy to reduce the number of correlations and thus reduce the computational burden and the processing time. We demonstrate the efficiency of the strategy in the case of optimal trade-off filters.

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Sylvie G. Tonda and Philippe Refregier "Three-dimensional attitude estimation and tracking by multicorrelation technique with normalized optimal trade-off filters", Proc. SPIE 2751, Hybrid Image and Signal Processing V, (7 June 1996); https://doi.org/10.1117/12.242006

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KEYWORDS

Image filtering

Databases

Signal to noise ratio

Filtering (signal processing)

3D acquisition

Optimal filtering

Phase only filters

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