Pattern matching for spatial point sets. Abstract: Two sets of points in d-dimensional space are given: a data set D consisting of N points, and a pattern set ...
P consisting of k points. We address the problem of deter- mining whether there is a transformation, among a specified group of transformations of the space ...
Abstract. Two sets of points in $d$-dimensional space are given: a {\it data set\/} $D$ consisting of $N$ points ...
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An O (N 2k 3 log2 N )time algorithm for the Best Match problem in the plane wasgiven by Chew, Goodrich, Huttenlocher, Kedem, Kleinbergand Kravets [9].The ...
Spatial point-pattern analysis considers the distribution of one or more sets of points in some bounded region as possibly being the result of some.
The EPM query returns all sets of objects that match the spatial pattern. The EPM query can be used for applications like urban planning, scene recognition and ...
We consider the following geometric pattern matching problem: Given two sets of points in the plane, P and Q, and some (arbitrary) δ > 0 , find a similarity ...
TL;DR: This work addresses the problem of determining whether there is a transformation, among a specified group of transformations of the space, ...
Within point pattern analysis, we look to detect clusters or patterns across a set of points, including measuring density, dispersion and homogeneity in our ...
Point Pattern Analysis# ... Points are spatial entities that can be understood in two fundamentally different ways. On the one hand, points can be seen as fixed ...