A Discrete Search Method for Multi-modal Non-Rigid Image Registration

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F08%3A03150872" target="_blank" >RIV/68407700:21230/08:03150872 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

A Discrete Search Method for Multi-modal Non-Rigid Image Registration

Original language description

We consider the problem of image matching under the unknown statistical dependence of the signals, i.e. a signal in one image may correspond to one or more signals in the other image with different probabilities. This problem is widely known as multimodal image registration and is commonly solved by the maximization of the empirical mutual information between the images. The deformation is typically represented in a parametric form and optimization w.r.t. it is performed using gradient-based methods. Incontrast, we represent the deformation as a field of discretized displacements and optimize w.r.t. it using pairwise Gibbs energy minimization technique. This has potential advantage of finding good solutions even for problems having many local minima.

Czech name

A Discrete Search Method for Multi-modal Non-Rigid Image Registration

Czech description

We consider the problem of image matching under the unknown statistical dependence of the signals, i.e. a signal in one image may correspond to one or more signals in the other image with different probabilities. This problem is widely known as multimodal image registration and is commonly solved by the maximization of the empirical mutual information between the images. The deformation is typically represented in a parametric form and optimization w.r.t. it is performed using gradient-based methods. Incontrast, we represent the deformation as a field of discretized displacements and optimize w.r.t. it using pairwise Gibbs energy minimization technique. This has potential advantage of finding good solutions even for problems having many local minima.

Type

D - Article in proceedings

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2008

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

NORDIA 2008: Proceedings of the 2008 IEEE CVPR Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment

ISBN

978-1-4244-2339-2

ISSN

1063-6919

e-ISSN

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Number of pages

6

Pages from-to

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Publisher name

IEEE Computer Society Press

Place of publication

Los Alamitos

Event location

Anchorage, Alaska

Event date

Jul 27, 2008

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000260371900123