This paper proposes the applications of the Boundary Integral-Resonant Mode Expansion (BI-RME) method to the shape analysis problem, an approach originally implemented for the determination of modes of a cavity resonator. We explore its advantages for shape analysis and recognition of a BI-RME based modal matching algorithm, where each shape is represented with a set of eigenfunctions, and solutions of the Helmholtz equation with Dirichlet boundary condition. These solutions correspond to the vibration modes of an elastic sheet of arbitrary shape and fixed boundary and show some advantages over previous approaches. It is demonstrated that the BI-RME algorithm is particularly suitable for characterizing shapes with multiply connected boundaries and requires small cpu times.

Shape analysis with the 'Boundary Integral-Resonant Mode Expansion' method

GAMBA, PAOLO ETTORE;LOMBARDI, LUCA
1999-01-01

Abstract

This paper proposes the applications of the Boundary Integral-Resonant Mode Expansion (BI-RME) method to the shape analysis problem, an approach originally implemented for the determination of modes of a cavity resonator. We explore its advantages for shape analysis and recognition of a BI-RME based modal matching algorithm, where each shape is represented with a set of eigenfunctions, and solutions of the Helmholtz equation with Dirichlet boundary condition. These solutions correspond to the vibration modes of an elastic sheet of arbitrary shape and fixed boundary and show some advantages over previous approaches. It is demonstrated that the BI-RME algorithm is particularly suitable for characterizing shapes with multiply connected boundaries and requires small cpu times.
1999
Computer Science & Engineering includes resources on computer hardware and architecture, computer software, software engineering and design, computer graphics, programming languages, theoretical computing, computing methodologies, broad computing topics, and interdisciplinary computer applications.
Sì, ma tipo non specificato
Inglese
Internazionale
STAMPA
17
357
364
8
Image processing; Edge detection; Pattern recognition
2
info:eu-repo/semantics/article
262
Gamba, PAOLO ETTORE; Lombardi, Luca
1 Contributo su Rivista::1.1 Articolo in rivista
none
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/108916
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact