DocumentCode
940384
Title
On the convex layers of a planar set
Author
Chazelle, Bernard
Volume
31
Issue
4
fYear
1985
fDate
7/1/1985 12:00:00 AM
Firstpage
509
Lastpage
517
Abstract
Let
be a set of
points in the Euclidean plane. The convex layers of
are the convex polygons obtained by iterating on the following procedure: compute the convex hull of
and remove its vertices from
. This process of peeling a planar point set is central in the study of robust estimators in statistics. It also provides valuable information on the morphology of a set of sites and has proven to be an efficient preconditioning for range search problems. An optimal algorithm is described for computing the convex layers of S. The algorithm runs in
time and requires
space. Also addressed is the problem of determining the depth of a query point within the convex layers of
, i.e., the number of layers that enclose the query point. This is essentially a planar point location problem, for which optimal solutions are therefore known. Taking advantage of structural properties of the problem, however, a much simpler optimal solution is derived.
be a set of
points in the Euclidean plane. The convex layers of
are the convex polygons obtained by iterating on the following procedure: compute the convex hull of
and remove its vertices from
. This process of peeling a planar point set is central in the study of robust estimators in statistics. It also provides valuable information on the morphology of a set of sites and has proven to be an efficient preconditioning for range search problems. An optimal algorithm is described for computing the convex layers of S. The algorithm runs in
time and requires
space. Also addressed is the problem of determining the depth of a query point within the convex layers of
, i.e., the number of layers that enclose the query point. This is essentially a planar point location problem, for which optimal solutions are therefore known. Taking advantage of structural properties of the problem, however, a much simpler optimal solution is derived.Keywords
Geometry; Graph theory; Optimization methods; Communication system control; Computational geometry; Computer science; Concurrent computing; Distributed computing; Robustness; Search problems; Sorting; Statistics;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1985.1057060
Filename
1057060
Link To Document