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

\ell1

and

\ell2

, let

C1

(resp.

C2

) be the multiset ofall cornerpoints and cornerlines for

\ell1

(resp.

\ell2

) counted with theirmultiplicities, augmented by adding a countable infinity of points of thediagonal

\{(x,y)\in\R2:x=y\}

.

The matching distance between

\ell1

and

\ell2

is given by

dmatch(\ell1,\ell2)=min\sigmamax

p\inC1

\delta(p,\sigma(p))

where

\sigma

varies among all the bijections between

C1

and

C2

and

\delta\left((x,y),(x',y')\right)=min\left\{max\{|x-x'|,|y-y'|\},max\left\{

y-x,
2
y'-x'
2

\right\}\right\}.

Roughly speaking, the matching distance

dmatch

between two size functions is the minimum, over all the matchingsbetween the cornerpoints of the two size functions, of the maximumof the

Linfty

-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

\Delta

. Moreover, the definition of

\delta

implies that matching two points of the diagonal has no cost.

See also

Notes and References

  1. 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.
  2. 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.