Image Registration
ICIP 2005 Tutorial
Image Registration: A Survey and Recent Advances
Presented by
Barbara Zitov´ a Jan Flusser ˇ Filip Sroubek
Institute of Information Theory and Automation Academy of Sciences of the Czech Republic Pod vod´renskou vˇˇ´ 4, 182 08 Prague 8, Czech Republic a ezı E-mail: {zitova,flusser,sroubekf}@utia.cas.cz
This is complementary material for ICIP’05 tutorial ”Image Registration: A Survey and Recent Advances”. It aims to present a review of recent as well as classic image registration methods. Image registration is the process of overlaying two or more images of the same scene taken at different times, under different lighting conditions, from different viewpoints and/or by different sensors. The major registration purpose is to remove or suppress geometric distortions between the reference and sensed images. Image registration is a crucial step in all image analysis tasks in which the final information is gained by combining various data sources. Image registration is required, among others, in remote sensing (multispectral classification, image fusion, environmental monitoring, change detection, image mosaicing, weather forecasting, integrating information into GIS), in medicine (combining CT and NMR data to obtain more complete information about the patient, monitoring of tumor growth, comparison of the patient data with anatomical atlases), in cartography (map updating), and in military applications (target localization, missile navigation). Keywords: Image registration, feature detection, feature matching, mapping function, resampling
Part I: Survey
1 Introduction
Image registration is the process of overlaying two or more images of the same scene taken at different times, from different viewpoints, and/or by different sensors. It geometrically aligns two images - the reference and sensed images. The present differences between images are introduced due to different imaging conditions. Image registration is a crucial step in all image analysis tasks
Image Registration: A Survey and Recent Advances
Presented by
Barbara Zitov´ a Jan Flusser ˇ Filip Sroubek
Institute of Information Theory and Automation Academy of Sciences of the Czech Republic Pod vod´renskou vˇˇ´ 4, 182 08 Prague 8, Czech Republic a ezı E-mail: {zitova,flusser,sroubekf}@utia.cas.cz
This is complementary material for ICIP’05 tutorial ”Image Registration: A Survey and Recent Advances”. It aims to present a review of recent as well as classic image registration methods. Image registration is the process of overlaying two or more images of the same scene taken at different times, under different lighting conditions, from different viewpoints and/or by different sensors. The major registration purpose is to remove or suppress geometric distortions between the reference and sensed images. Image registration is a crucial step in all image analysis tasks in which the final information is gained by combining various data sources. Image registration is required, among others, in remote sensing (multispectral classification, image fusion, environmental monitoring, change detection, image mosaicing, weather forecasting, integrating information into GIS), in medicine (combining CT and NMR data to obtain more complete information about the patient, monitoring of tumor growth, comparison of the patient data with anatomical atlases), in cartography (map updating), and in military applications (target localization, missile navigation). Keywords: Image registration, feature detection, feature matching, mapping function, resampling
Part I: Survey
1 Introduction
Image registration is the process of overlaying two or more images of the same scene taken at different times, from different viewpoints, and/or by different sensors. It geometrically aligns two images - the reference and sensed images. The present differences between images are introduced due to different imaging conditions. Image registration is a crucial step in all image analysis tasks