Gromov-Hausdorff distances in Euclidean spaces

Расстояния Громова—Хаусдорфа в евклидовых пространствах
Facundo Mémoli
2008-06-01

Earth Mover’s distanceEuclidean Distance Matrix completionEuclidean isometriesGromov-Hausdorff distanceHausdorff distance
The purpose of this paper is to study the relationship between measures of dissimilarity between shapes in Euclidean space. We first concentrate on the pair Gromov-Hausdorff distance (GH) versus Hausdorff distance under the action of Euclidean isometries (EH). Then, we (1) show they are comparable in a precise sense that is not the linear behaviour one would expect and (2) explain the source of this phenomenon via explicit constructions. Finally, (3) by conveniently modifying the expression for the GH distance, we recover the EH distance. This allows us to uncover a connection that links the problem of computing GH and EH and the family of Euclidean Distance Matrix completion problems. The second pair of dissimilarity notions we study is the so called Lp-Gromov-Hausdorff distance versus the Earth Moverpsilas distance under the action of Euclidean isometries. We obtain results about comparability in this situation as well.
1
A modified formulation of Gromov–Hausdorff distance recovers the Euclidean-isometry Hausdorff distance.
2
Explicit constructions explain the source of the unexpected nonlinear behavior between these two shape-dissimilarity measures.
3
Gromov–Hausdorff distance and Euclidean-isometry Hausdorff distance are comparable, but their relationship is nonlinear rather than proportional.
4
The paper also establishes comparability results between the Lp-Gromov–Hausdorff distance and Earth Mover’s distance under Euclidean isometries.
5
The reformulation reveals a connection between computing Gromov–Hausdorff and Euclidean-isometry distances and Euclidean Distance Matrix completion problems.

shapes in Euclidean space

relationships and comparability between Gromov–Hausdorff, Hausdorff-under-Euclidean-isometries, Lp-Gromov–Hausdorff, and Earth Mover’s distances, including their connection to Euclidean Distance Matrix completion

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2008-06-01
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Facundo Mémoli
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