https://mw.hh.se/caisr/index.php?action=history&feed=atom&title=Publications%3ADirectionality_Features_and_the_Structure_TensorPublications:Directionality Features and the Structure Tensor - Revision history2026-04-04T14:26:09ZRevision history for this page on the wikiMediaWiki 1.35.13https://mw.hh.se/caisr/index.php?title=Publications:Directionality_Features_and_the_Structure_Tensor&diff=1254&oldid=prevSlawekBot: Created page with "<div style='display: none'> == Do not edit this section == </div> {{PublicationSetupTemplate|Author=Stefan Karlsson, Josef Bigun |PID=391385 |Name=Karlsson, Stefan [stekar] (H..."2014-03-13T11:50:18Z<p>Created page with "<div style='display: none'> == Do not edit this section == </div> {{PublicationSetupTemplate|Author=Stefan Karlsson, Josef Bigun |PID=391385 |Name=Karlsson, Stefan [stekar] (H..."</p>
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{{PublicationSetupTemplate|Author=Stefan Karlsson, Josef Bigun<br />
|PID=391385<br />
|Name=Karlsson, Stefan [stekar] (Högskolan i Halmstad [2804], Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) [3905], Halmstad Embedded and Intelligent Systems Research (EIS) [3938]);Bigun, Josef [josef] (Högskolan i Halmstad [2804], Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) [3905], Halmstad Embedded and Intelligent Systems Research (EIS) [3938])<br />
|Title=Directionality Features and the Structure Tensor<br />
|PublicationType=Conference Paper<br />
|ContentType=Övrigt vetenskapligt<br />
|Language=eng<br />
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|Conference=SSBA 2010 Symposium i bildanalys, Uppsala 11-12 mars<br />
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|Year=2010<br />
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|NBN=urn:nbn:se:hh:diva-14205<br />
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|Keywords=Low-level features;Structure tensor;Histogram of oriented gradients<br />
|Categories=Datorseende och robotik (autonoma system) (10207)<br />
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|Abstract=<p>Many low-level features, as well as varyingmethods of extraction and interpretation rely on directionalityanalysis (for example the Hough transform, Gabor filters,SIFT descriptors and the structure tensor). The theoryof the gradient based structure tensor (a.k.a. the secondmoment matrix) is a very well suited theoretical platform inwhich to analyze and explain the similarities and connections(indeed often equivalence) of supposedly different methodsand features that deal with image directionality. Of specialinterest to this study is the SIFT descriptors (histogram oforiented gradients, HOGs). Our analysis of interrelationshipsof prominent directionality analysis tools offers thepossibility of computation of HOGs without binning, in analgorithm of comparative time complexity.</p><br />
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|CreatedDate=2011-01-25<br />
|PublicationDate=2011-01-25<br />
|LastUpdated=2012-09-26<br />
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