Stability in multidimensional Size Theory
| dc.creator | Cerri, Andrea | |
| dc.creator | Frosini, Patrizio | |
| dc.creator | Landi, Claudia | |
| dc.date | 2006-08-02 | |
| dc.date.accessioned | 2026-07-07T07:19:56Z | |
| dc.date.available | 2026-07-07T07:19:56Z | |
| dc.description | This paper proves that in Size Theory the comparison of multidimensional size functions can be reduced to the 1-dimensional case by a suitable change of variables. Indeed, we show that a foliation in half-planes can be given, such that the restriction of a multidimensional size function to each of these half-planes turns out to be a classical size function in two scalar variables. This leads to the definition of a new distance between multidimensional size functions, and to the proof of their stability with respect to that distance. | |
| dc.description | 15 pages, 1 figure, uses psfrag | |
| dc.identifier | https://arxiv.org/abs/cs/0608009 | |
| dc.identifier | http://arxiv.org/abs/cs/0608009 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/114811 | |
| dc.subject | Computational Geometry | |
| dc.subject | Computer Vision and Pattern Recognition | |
| dc.subject | I.3.5; I.5.1 | |
| dc.title | Stability in multidimensional Size Theory | |
| dc.type | text |