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- W2098570825 abstract "This paper shows that the basic Hough transform is implicitly a Bayesian process-that it computes an unnormalized posterior distribution over the parameters of a single shape given feature points. The proof motivates a purely Bayesian approach to the problem of finding parameterized shapes in digital images. A proof-of-concept implementation that finds multiple shapes of four parameters is presented. Extensions to the basic model that are made more obvious by the presented reformulation are discussed." @default.
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- W2098570825 date "2007-01-01" @default.
- W2098570825 modified "2023-09-26" @default.
- W2098570825 title "The Hough Transform's Implicit Bayesian Foundation" @default.
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- W2098570825 doi "https://doi.org/10.1109/icip.2007.4380033" @default.
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