On the use of Gromov-Hausdorff Distances for Shape Comparison
Об использовании расстояний Громова—Хаусдорфа для сравнения форм
2007-01-01
SCID: 54.1/za6c88cf
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Gromov-Hausdorff distancesQuadratic Assignment Problemcomputational geometryshape comparisonshape matching
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Abstract (AI)
It is the purpose of this paper to propose and discuss certain modifications of the ideas concerning Gromov- Hausdorff distances in order to tackle the problems of shape matching and comparison. These reformulations render these distances more amenable to practical computations without sacrificing theoretical underpinnings. A second goal of this paper is to establish links to several other practical methods proposed in the literature for comparing/matching shapes in precise terms. Connections with the Quadratic Assignment Problem (QAP) are also established, and computational examples are presented.
Key Findings
1
Computational examples demonstrate the applicability of the proposed formulations to shape comparison tasks.
2
It establishes precise connections between the reformulated Gromov–Hausdorff framework and several existing practical methods for shape comparison and matching.
3
The paper reformulates Gromov–Hausdorff distances to make shape matching and comparison more computationally tractable while preserving their theoretical foundations.
4
The study links Gromov–Hausdorff-based shape comparison to the Quadratic Assignment Problem (QAP).
Research Object
shapes represented as metric spaces
Research Subject
Gromov–Hausdorff-distance-based shape matching and comparison, including computational reformulations and links to related methods and the Quadratic Assignment Problem
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2007-01-01
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