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Scale Selection

Authors: Lindeberg, Tony;

Scale Selection

Abstract

The notion of scale selection refers to methods for estimating characteristic scales in image data and for automatically determining locally appropriate scales in a scale-space representation, so as to adapt subsequent processing to the local image structure and compute scale invariant image features and image descriptors. An essential aspect of the approach is that it allows for a bottom-up determination of inherent scales of features and objects without first recognizing them or delimiting alternatively segmenting them from their surrounding. Scale selection methods have also been developed from other viewpoints of performing noise suppression and exploring top-down information. Part of ISBN 978-3-030-03243-2QC 20231024

Country
Sweden
Related Organizations
Keywords

Computer graphics and computer vision, Blob detection, scale invariance, Image-based matching and recognition, Feature detection, object recognition, Automatic scale selection, Scale invariance, Interest point detection, Corner detection, Edge detection, Scale invariant image features and image descriptors, feature tracking, edge detection, Matematik, blob detection, Scale-space, frequency estimation, Computer Sciences, feature detection, interest point detection, Object recognition, Datorgrafik och datorseende, Ridge detection, Feature tracking, ridge detection, image-based recognition, Datavetenskap (datalogi), scale-space, corner detection, Frequency estimation, Mathematics

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
25
Top 10%
Top 10%
Top 10%
Green
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