CenSurE: Center Surround Extremas for Realtime Feature Detection and Matching
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Cites methods from "CenSurE: Center Surround Extremas f..."
...…0s ¼ arctan 00s 01s ¼ arctan Xp 1 i¼0 xi xc xc " # : ð5Þ So, the differential excitation of the current pixel (xc) is computed as: xcð Þ ¼ arctan 00s 01s ¼ arctan Xp 1 i¼0 xi xc xc " # : ð6Þ Note that (x) may take a minus value if the neighbor intensities are smaller than that of the current pixel....
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References
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"CenSurE: Center Surround Extremas f..." refers methods in this paper
...From these uncertain matches, we recover a consensus pose estimate using a RANSAC method [19]....
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"CenSurE: Center Surround Extremas f..." refers methods in this paper
...We use a set of seven scales for the center-surround Haar wavelet, with block size n = [1, 2, 3, 4, 5, 6, 7]....
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...Corner detectors such as Harris (based on the eigenvalues of the second moment matrix [3,4]) and FAST [5] (analysis of circular arcs [6]) find image points that are well localized, because the corners are relatively invariant to change of view....
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"CenSurE: Center Surround Extremas f..." refers background in this paper
...[15], who describe a difference-of-boxes (DOB) filter that approximates the SIFT detector, and is readily computed at all scales with integral images [16,17]....
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...The box filter can be done using integral images [16,17]....
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