% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Reuter:280030,
author = {Reuter, Martin and Wolter, Franz-Erich and Peinecke,
Niklas},
title = {{L}aplace–{B}eltrami spectra as ‘{S}hape-{DNA}’ of
surfaces and solids},
journal = {Computer aided design},
volume = {38},
number = {4},
issn = {0010-4485},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {DZNE-2025-00874},
pages = {342 - 366},
year = {2006},
abstract = {This paper introduces a method to extract ‘Shape-DNA’,
a numerical fingerprint or signature, of any 2d or 3d
manifold (surface or solid) by taking the eigenvalues (i.e.
the spectrum) of its Laplace–Beltrami operator. Employing
the Laplace–Beltrami spectra (not the spectra of the mesh
Laplacian) as fingerprints of surfaces and solids is a novel
approach. Since the spectrum is an isometry invariant, it is
independent of the object's representation including
parametrization and spatial position. Additionally, the
eigenvalues can be normalized so that uniform scaling
factors for the geometric objects can be obtained easily.
Therefore, checking if two objects are isometric needs no
prior alignment (registration/localization) of the objects
but only a comparison of their spectra. In this paper, we
describe the computation of the spectra and their comparison
for objects represented by NURBS or other parametrized
surfaces (possibly glued to each other), polygonal meshes as
well as solid polyhedra. Exploiting the isometry invariance
of the Laplace–Beltrami operator we succeed in computing
eigenvalues for smoothly bounded objects without
discretization errors caused by approximation of the
boundary. Furthermore, we present two non-isometric but
isospectral solids that cannot be distinguished by the
spectra of their bodies and present evidence that the
spectra of their boundary shells can tell them apart.
Moreover, we show the rapid convergence of the heat trace
series and demonstrate that it is computationally feasible
to extract geometrical data such as the volume, the boundary
length and even the Euler characteristic from the
numerically calculated eigenvalues. This fact not only
confirms the accuracy of our computed eigenvalues, but also
underlines the geometrical importance of the spectrum. With
the help of this Shape-DNA, it is possible to support
copyright protection, database retrieval and quality
assessment of digital data representing surfaces and
solids.A patent application based on ideas presented in this
paper is pending.},
ddc = {600},
pnm = {899 - ohne Topic (POF4-899)},
pid = {G:(DE-HGF)POF4-899},
typ = {PUB:(DE-HGF)16},
doi = {10.1016/j.cad.2005.10.011},
url = {https://pub.dzne.de/record/280030},
}