Paper
20 April 2015 Invariant correlation filters with peak stability parameter in problem of scaled objects recognition
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Abstract
The presented paper is of PC modeling of scaled object recognition with the help of invariant correlation filters for optical correlators. The object database consists of objects of true and false classes with different changes of scale. The recognition process consits of two stages-multiclass recognition and geometrical change recognition with the help of filters of different types. The results of modeling present data on comparison of different combination of filter types.
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Petr A. Ivanov "Invariant correlation filters with peak stability parameter in problem of scaled objects recognition", Proc. SPIE 9477, Optical Pattern Recognition XXVI, 94770A (20 April 2015); https://doi.org/10.1117/12.2177552
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KEYWORDS
Image filtering

Detection and tracking algorithms

Optical correlators

Optical filters

Distortion

Gaussian filters

Image resolution

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