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The virtual particle moved to neighboring points in 24 directions.
Local extremes are calculated by comparing the DoG sampling points to eight neighboring points in the same scale and nine neighboring points in higher and lower scales.
We also assume zero conditional error probability to nonnearest neighboring points.
At least four neighboring points with heights are required to obtain a unique solution.
As shown in Figure 1, eight neighboring points around correspond to eight orientations.
Let the set of neighboring points be called the neighboring set (N_{h}).
When we compare the potential field U at neighboring points, the Ks at each point cancel out.
The FCHC lattice consists of lattices that connect neighboring points in 24 directions, each centered around (0,0,0,0).
This way, neighboring points that are distant on the curve will possibly be closer in the shifted dataset.
In order to compute the error curvature, we need to select neighboring points Q β and Q γ.
Then, each pixel point is compared with all the neighboring points around it to judge its size.
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