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Image registration methods: a survey.

by Barbara Zitová , Jan Flusser , 2003
"... Abstract This paper aims to present a review of recent as well as classic image registration methods. Image registration is the process of overlaying images (two or more) of the same scene taken at different times, from different viewpoints, and/or by different sensors. The registration geometrical ..."
Abstract - Cited by 760 (10 self) - Add to MetaCart
Abstract This paper aims to present a review of recent as well as classic image registration methods. Image registration is the process of overlaying images (two or more) of the same scene taken at different times, from different viewpoints, and/or by different sensors. The registration

A Survey of Medical Image Registration

by J. B. Antoine Maintz, Max A. Viergever , 1998
"... The purpose of this chapter is to present a survey of recent publications concerning medical image registration techniques. These publications will be classified according to a model based on nine salient criteria, the main dichotomy of which is extrinsic versus intrinsic methods The statistics of t ..."
Abstract - Cited by 548 (5 self) - Add to MetaCart
The purpose of this chapter is to present a survey of recent publications concerning medical image registration techniques. These publications will be classified according to a model based on nine salient criteria, the main dichotomy of which is extrinsic versus intrinsic methods The statistics

Multimodality Image Registration by Maximization of Mutual Information

by Frederik Maes, André Collignon, Dirk Vandermeulen, Guy Marchal, Paul Suetens - IEEE TRANSACTIONS ON MEDICAL IMAGING , 1997
"... A new approach to the problem of multimodality medical image registration is proposed, using a basic concept from information theory, mutual information (MI), or relative entropy, as a new matching criterion. The method presented in this paper applies MI to measure the statistical dependence or in ..."
Abstract - Cited by 791 (10 self) - Add to MetaCart
A new approach to the problem of multimodality medical image registration is proposed, using a basic concept from information theory, mutual information (MI), or relative entropy, as a new matching criterion. The method presented in this paper applies MI to measure the statistical dependence

Iterative point matching for registration of free-form curves and surfaces

by Zhengyou Zhang , 1994
"... A heuristic method has been developed for registering two sets of 3-D curves obtained by using an edge-based stereo system, or two dense 3-D maps obtained by using a correlation-based stereo system. Geometric matching in general is a difficult unsolved problem in computer vision. Fortunately, in ma ..."
Abstract - Cited by 660 (8 self) - Add to MetaCart
A heuristic method has been developed for registering two sets of 3-D curves obtained by using an edge-based stereo system, or two dense 3-D maps obtained by using a correlation-based stereo system. Geometric matching in general is a difficult unsolved problem in computer vision. Fortunately

Validation and comparison of registration methods for

by Torbjørn Vika, Sven Kabusa, Konstantin Ensa, Sebastian Driesa
"... free–breathing 4D lung–CT ..."
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free–breathing 4D lung–CT

Data before registration Method

by Michael Stürmer, Claude Seiler, Guido Becker, Joachim Hornegger, Foot Scanning Using Time-of-flight
"... • 3 synchronized ToF-cameras • ca. 40 frames per second • Measurement of complete surface of foot • Capable of measuring feet accurately [1] • System is portable • Fast & easy calibration needed ..."
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• 3 synchronized ToF-cameras • ca. 40 frames per second • Measurement of complete surface of foot • Capable of measuring feet accurately [1] • System is portable • Fast & easy calibration needed

Image Registration Methods for Resolution Improvement

by D. G. Bailey, T. H. Lill
"... Image registration is a key step in combining multiple independent low-resolution images to give a single high-resolution image. Four sub-pixel registration methods are compared in terms of sub-pixel accuracy in the presence of low to moderate levels of noise. While traditional correlation and diffe ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
Image registration is a key step in combining multiple independent low-resolution images to give a single high-resolution image. Four sub-pixel registration methods are compared in terms of sub-pixel accuracy in the presence of low to moderate levels of noise. While traditional correlation

An Overview of Medical Image Registration Methods

by J. B. Antoine Maintz, Max A. Viergever - In Symposium of the Belgian hospital physicists association (SBPH-BVZF , 1996
"... The purpose of this paper is to present an overview of existing medical image registration methods. These methods will be classified according to a model based on nine salient criteria, the main dichotomy of which is extrinsic versus intrinsic methods. The statistics of the classification show def ..."
Abstract - Cited by 17 (0 self) - Add to MetaCart
The purpose of this paper is to present an overview of existing medical image registration methods. These methods will be classified according to a model based on nine salient criteria, the main dichotomy of which is extrinsic versus intrinsic methods. The statistics of the classification show

Different Image Registration Methods – An Overview

by unknown authors
"... Abstract The main aim of this paper is to provide a review of classic image registration methods. Registration is a fundamental stage in 3D and 2D reconstruction process, which is used to match two or more images that can be taken in different moments, from different sensors, or different viewpoints ..."
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Abstract The main aim of this paper is to provide a review of classic image registration methods. Registration is a fundamental stage in 3D and 2D reconstruction process, which is used to match two or more images that can be taken in different moments, from different sensors, or different

Comparative Study of Image Registration Methods

by Supriya S. Kothalkar
"... The main objective of image registration is to match two or more images captured at different times by different sensors or by different angles or from different viewpoints. Image registration has become a crucial step in most of the image processing tasks used in various areas. It is a key technolo ..."
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methods consist of the following four steps: feature extraction, feature matching, transform modeling, and finally image resampling. The accuracy of a registration process is highly dependent to the feature extraction and matching methods. Cross Correlation is the basic statistical approach to image
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