Image registration methods: a survey

Image registration methods: a survey (2003)

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by Barbara Zitová , Jan Flusser

Venue:	Image and Vision Computing
Citations:	239 - 4 self

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Metadata Version 1

Datum	Value	Source
TITLE	Image registration methods: a survey	SVM HeaderParse 0.2
AUTHOR NAME	Barbara Zitová	SVM HeaderParse 0.2
AUTHOR AFFIL	Department of Image Processing, Institute of Information Theory and Automation	SVM HeaderParse 0.2
AUTHOR NAME	Jan Flusser	SVM HeaderParse 0.2
AUTHOR AFFIL	Department of Image Processing, Institute of Information Theory and Automation	SVM HeaderParse 0.2
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 geometrically align two images (the reference and sensed images). The reviewed approaches are classified according to their nature (areabased and feature-based) and according to four basic steps of image registration procedure: feature detection, feature matching, mapping function design, and image transformation and resampling. Main contributions, advantages, and drawbacks of the methods are mentioned in the paper. Problematic issues of image registration and outlook for the future research are discussed too. The major goal of the paper is to provide a comprehensive reference source for the researchers involved in image registration, regardless of particular application areas. q 2003 Elsevier B.V. All rights reserved.	SVM HeaderParse 0.2
YEAR	2003	SVM HeaderParse 0.2
VENUE	Image and Vision Computing	INFERENCE
VENUE TYPE	JOURNAL	INFERENCE
PAGES	977--1000	INFERENCE
VOLUME	21	INFERENCE
CITATIONS	224 found	ParsCit 1.0