Di Fabio, Barbara ; Landi, Claudia
(2014)
Reeb graphs of surfaces are stable under function perturbations.
[Preprint]
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Abstract
Reeb graphs are combinatorial signatures that capture shape
properties from the perspective of a chosen function. One of the
most important questions is whether Reeb graphs are robust against
function perturbations that may occur because of noise and
approximation errors in the data acquisition process. In this work
we tackle the problem of stability providing an editing distance
between Reeb graphs of orientable surfaces in terms of the cost
necessary to transform one graph into another by edit operations.
Our main result is that changes in the functions, measured by the
maximum norm, imply not greater changes in this distance, yielding
the stability property under function perturbations.
Abstract
Reeb graphs are combinatorial signatures that capture shape
properties from the perspective of a chosen function. One of the
most important questions is whether Reeb graphs are robust against
function perturbations that may occur because of noise and
approximation errors in the data acquisition process. In this work
we tackle the problem of stability providing an editing distance
between Reeb graphs of orientable surfaces in terms of the cost
necessary to transform one graph into another by edit operations.
Our main result is that changes in the functions, measured by the
maximum norm, imply not greater changes in this distance, yielding
the stability property under function perturbations.
Tipologia del documento
Preprint
Autori
Parole chiave
shape similarity, editing distance, Morse function,
natural stratification
Settori scientifico-disciplinari
DOI
Data di deposito
21 Feb 2014 09:13
Ultima modifica
10 Nov 2014 08:27
URI
Altri metadati
Tipologia del documento
Preprint
Autori
Parole chiave
shape similarity, editing distance, Morse function,
natural stratification
Settori scientifico-disciplinari
DOI
Data di deposito
21 Feb 2014 09:13
Ultima modifica
10 Nov 2014 08:27
URI
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Reeb graphs of surfaces are stable under function perturbations. (deposited 21 Feb 2014 09:13)
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