For an image described with feature points,
how do we search the identical arrangement of feature points?
The image may be affected by perspective distortion and
the arrangement may be not completely identical due to replacement,
insert and deletion of feature points.
As methods to solve the problem, Geometric Hashing (GH) and
Locally Likely Arrangement Hashing (LLAH) are known.
Both of them can search efficiently, however,
LLAH outperforms GH in computational cost and memory amount.
In this paper, we reveal the reason by comparing two methods.
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