27 December 1990 Multidimensional synthetic estimation filter
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The synthetic estimation filter (SEF) crafts an affine variation into its response to a changing parameter (e.g. scale or rotation). Sets of such filters are used in an estimation correlator to reduce the number of filters required for a given tracking accuracy. By over-specifying the system (one more SEF than parameters to be tracked), the ratio of correlation responses between filters forms a robust estimator into the spanned domain of the parameters. Previous results have dealt with a laboratory correlator which could track a single parameter. This paper explores the SEF and estimator's extension to more dimensions. A two dimensional example is given in which we show a reduction of ifiters from 25 to 3, minimally to span a 4 degree square portion of pose space.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stanley E. Monroe, Richard D. Juday, "Multidimensional synthetic estimation filter", Proc. SPIE 1347, Optical Information Processing Systems and Architectures II, (27 December 1990); doi: 10.1117/12.23407; https://doi.org/10.1117/12.23407

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