Matching distance explained
In mathematics, the matching distance[1] [2] is a metric on the space of size functions.
The core of the definition of matching distance is the observation that theinformation contained in a size function can be combinatorially stored in a formal series of lines and points of the plane, called respectively cornerlines and cornerpoints.
Given two size functions
and
, let
(resp.
) be the multiset ofall cornerpoints and cornerlines for
(resp.
) counted with theirmultiplicities, augmented by adding a countable infinity of points of thediagonal
.
The matching distance between
and
is given by
dmatch(\ell1,\ell2)=min\sigmamax
\delta(p,\sigma(p))
where
varies among all the bijections between
and
and
\delta\left((x,y),(x',y')\right)=min\left\{max\{|x-x'|,|y-y'|\},max\left\{
\right\}\right\}.
Roughly speaking, the matching distance
between two size functions is the minimum, over all the matchingsbetween the cornerpoints of the two size functions, of the maximumof the
-distances between two matched cornerpoints. Sincetwo size functions can have a different number of cornerpoints,these can be also matched to points of the diagonal
. Moreover, the definition of
implies that matching two points of the diagonal has no cost.
See also
Notes and References
- Michele d'Amico, Patrizio Frosini, Claudia Landi, Using matching distance in Size Theory: a survey, International Journal of Imaging Systems and Technology, 16(5):154–161, 2006.
- Michele d'Amico, Patrizio Frosini, Claudia Landi, Natural pseudo-distance and optimal matching between reduced size functions, Acta Applicandae Mathematicae, 109(2):527-554, 2010.