Title
Efficient colored point set matching under noise
Abstract
Let A and B be two colored point sets in R2, with |A| ≤ |B|. We propose a process for determining matches, in terms of the bottleneck distance, between A and subsets of B under color preserving rigid motion, assuming that the position of all colored points in both sets contains a certain amount of "noise". The process consists of two main stages: a lossless filtering algorithm and a matching algorithm. The first algorithm determines a number of candidate zones which are regions that contain a subset S of B such that A may match one or more subsets B′ of S. We use a compressed quadtree to have easy access to the subsets of B related to candidate zones and store geometric information that is used by the lossless filtering algorithm in each quadtree node. The second algorithm solves the colored point set matching problem: we generate all, up to a certain equivalence, possible motions that bring A close to some subset B′ of every S and seek for a matching between sets A and B&prime. To detect these possible matchings we use a bipartite matching algorithm that uses Skip Quadtrees for neighborhood queries. We have implemented the proposed algorithms and report results that show the efficiency of our approach.
Year
DOI
Venue
2007
10.1007/978-3-540-74472-6_3
ICCSA (1)
Keywords
Field
DocType
matching algorithm,certain equivalence,candidate zone,possible matchings,subsets b,certain amount,subset b,point set,bipartite matching algorithm,proposed algorithm,bipartite matching
Prime (order theory),Mathematical optimization,Colored,Computer science,Bipartite graph,Filter (signal processing),3-dimensional matching,Blossom algorithm,Quadtree,Lossless compression
Conference
Volume
ISSN
ISBN
4705
0302-9743
3-540-74468-1
Citations 
PageRank 
References 
2
0.60
9
Authors
2
Name
Order
Citations
PageRank
Yago Diez14511.50
J. Antoni Sellarès2498.79