25 October 1993 Design of distortion-invariant correlation filters using supervised learning
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Abstract
We designed binary phase-only filters from a training set of images using a statistical approach. We forced images into clusters and designed filters to recognize objects from that cluster. We report on results obtained by computer simulation comparing the performance of filters to recognize objects from clusters of one and two classes.
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Samuel Peter Kozaitis, Samuel Peter Kozaitis, Rufus H. Cofer, Rufus H. Cofer, Wesley E. Foor, Wesley E. Foor, } "Design of distortion-invariant correlation filters using supervised learning", Proc. SPIE 1959, Optical Pattern Recognition IV, (25 October 1993); doi: 10.1117/12.160290; https://doi.org/10.1117/12.160290
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