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Fig. 1 Disposition of grid points for 3 steps
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Fig. 2 Rearrangement of pixel arrays of a right patch’
The details are discussed in section 4.
(8)The processes (2)-(7) are repeated for every step. After that, grid
points located in the margin of the left patch are looked on unreliable
and discarded.
3. Stable matching with narrow-band-pass filters
We discuss here band-pass-filtering that leads to stable matching in
area correlation. Indeed this problem is in itself very significant, but
we specifically need stable matching performance so that the method of
finding occlusions, detailed in section 4, may really come into effect.
For comparison let us begin with the following primitive filter, which
can be derived from very natural intuition, and in fact has been used in
our former system, but does not give good matching stability.
Since the highest (angular) frequency is 7. in digital images, the
patches I, and I, matched in the 1st and 2nd steps are low-pass-filtered
beforehand such that the higher frequencies than œ, =1/4Æ and @, = 1/2 Z
are cut off respectively. Further they are resampled every 4 and 2
pixels to save memories according to the sampling theorem. We refer to
the finally produced patches as the 'reduced' ones hereafter.
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