caa a22 4500 605541299 CHVBK 20210128100915.0 cr unu---uuuuu 210128e20150201xx s 000 0 eng 10.1007/s00371-014-1038-y doi (NATIONALLICENCE)springer-10.1007/s00371-014-1038-y Subimage sensitive eigenvalue spectra for image comparison [Elektronische Daten] Can one hear what's painted on a drum? [Benjamin Berger, Alexander Vais, Franz-Erich Wolter] This publication is a contribution to basic research in image comparison using eigenvalue spectra as features. The differential-geometric approach of eigenvalue spectrum-based descriptors is naturally applicable to shape data, but so far little work has been done to transfer it to the setting of image data painted on a rectangle or general curved surface. We present a new semi-global feature descriptor that also contains information about geometry of shapes visible in the image. This may not only improve the performance of the resulting distance measures, but may even enable us to approach the partial matching problem using eigenvalue spectra, which were previously only considered as global feature descriptors. We introduce some concepts that are useful in designing and understanding the behaviour of similar fingerprinting algorithms for images (and surfaces) and discuss some preliminary results. Springer-Verlag Berlin Heidelberg, 2014 Laplace nationallicence Eigenvalue nationallicence Fingerprint nationallicence Image retrieval nationallicence Image comparison nationallicence Partial matching nationallicence Perturbation theory nationallicence Berger Benjamin Leibniz University Hannover, Hannover, Germany aut Vais Alexander Leibniz University Hannover, Hannover, Germany aut Wolter Franz-Erich Leibniz University Hannover, Hannover, Germany aut The Visual Computer Springer Berlin Heidelberg 31/2(2015-02-01), 205-221 0178-2789 31:2<205 2015 31 371 https://doi.org/10.1007/s00371-014-1038-y text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00371-014-1038-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Berger Benjamin Leibniz University Hannover, Hannover, Germany aut NATIONALLICENCE 700 1- Vais Alexander Leibniz University Hannover, Hannover, Germany aut NATIONALLICENCE 700 1- Wolter Franz-Erich Leibniz University Hannover, Hannover, Germany aut NATIONALLICENCE 773 0- The Visual Computer Springer Berlin Heidelberg 31/2(2015-02-01), 205-221 0178-2789 31:2<205 2015 31 371