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SCALESPACE
2007
Springer

Paretian Similarity for Partial Comparison of Non-rigid Objects

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Paretian Similarity for Partial Comparison of Non-rigid Objects
In this paper, we address the problem of partial comparison of non-rigid objects. We introduce a new class of set-valued distances, related to the concept of Pareto optimality in economics. Such distances allow to capture intrinsic geometric similarity between parts of non-rigid objects, obtaining semantically meaningful comparison results. The numerical implementation of our method is computationally efficient and is similar to GMDS, a multidimensional scaling-like continuous optimization problem.
Alexander M. Bronstein, Michael M. Bronstein, Alfr
Added 09 Jun 2010
Updated 09 Jun 2010
Type Conference
Year 2007
Where SCALESPACE
Authors Alexander M. Bronstein, Michael M. Bronstein, Alfred M. Bruckstein, Ron Kimmel
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