Publications:Directionality Features and the Structure Tensor

From ISLAB/CAISR
Revision as of 12:50, 13 March 2014 by SlawekBot (talk | contribs) (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...")
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigationJump to search

Do not edit this section

Property "Author" has a restricted application area and cannot be used as annotation property by a user. Property "Author" has a restricted application area and cannot be used as annotation property by a user.

Keep all hand-made modifications below

Title Directionality Features and the Structure Tensor
Author
Year 2010
PublicationType Conference Paper
Journal
HostPublication
Conference SSBA 2010 Symposium i bildanalys, Uppsala 11-12 mars
DOI
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:391385
Abstract

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.