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- W1587326781 abstract "We address the problem of how to reason within scale-space to produce reliable estimates of image structure. Our approach depends on the definition of unique surfaces in scale space based on the notion of a locally-defined minimum reliable scale. We demonstrate the usefulness of these surfaces by applying them to the problem of detecting edges from images with shallow depth of field and shadows. We show that edges spanning a broad range of blur scale can be recovered accurately by a single system with no input parameters other than the second moment of the sensor noise. A natural dividend of this approach is a reliable measure of local blur which can be used to estimate depth from defocus along image contours." @default.
- W1587326781 created "2016-06-24" @default.
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- W1587326781 date "1995-01-01" @default.
- W1587326781 modified "2023-09-25" @default.
- W1587326781 title "Shadows, defocus and reliable estimation" @default.
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- W1587326781 doi "https://doi.org/10.1007/3-540-60268-2_312" @default.
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