In this paper we consider the problem of estimating the relative shift, scale and rotation between two images X and Y that are available to two users, respectively A and B, connected through a channel. User A is asked to send B some specifically selected minimal description of image X that will allow B to recover the relative shift, rotation and scale between X and Y. The approach is based on a distributed encoding technique applied to the Discrete Fourier Transform phase and to the Fourier-Mellin transform of the images.

Minimal Information Exchange for Image Registration

DALAI, Marco;LEONARDI, Riccardo
2008-01-01

Abstract

In this paper we consider the problem of estimating the relative shift, scale and rotation between two images X and Y that are available to two users, respectively A and B, connected through a channel. User A is asked to send B some specifically selected minimal description of image X that will allow B to recover the relative shift, rotation and scale between X and Y. The approach is based on a distributed encoding technique applied to the Discrete Fourier Transform phase and to the Fourier-Mellin transform of the images.
2008
2008 European Signal Processing Workshop (EUSIPCO 2008)
UE
PE6_11 Machine learning, statistical data processing and applications using signal processing (eg. speech, image, video)
PE7_7 Signal processing
Esperti anonimi
Inglese
no
2008 European Signal Processing Workshop (EUSIPCO 2008)
Aug. 2008
Lausanne, Switzerland
Internazionale
ELETTRONICO
UNICO
1
5
5
EURASIP
Distributed Source Coding; Shift; Rotation; Scale; Image Registration
Ateneo di appartenenza
no
open
Dalai, Marco; Leonardi, Riccardo
273
info:eu-repo/semantics/conferenceObject
2
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/14837
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