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Histogram of directions by the structure tensor
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).
2011 (English)In: Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, New York, NY: Association for Computing Machinery (ACM), 2011Conference paper, (Refereed)
Abstract [en]

Many low-level features, as well as varying methods of extraction and interpretation rely on directionality analysis (for example the Hough transform, Gabor filters, SIFT descriptors and the structure tensor). The theory of the gradient based structure tensor (a.k.a. the second moment matrix) is a very well suited theoretical platform in which to analyze and explain the similarities and connections (indeed often equivalence) of supposedly different methods and features that deal with image directionality. Of special interest to this study is the SIFT descriptors (histogram of oriented gradients, HOGs). Our analysis of interrelationships of prominent directionality analysis tools offers the possibility of computation of HOGs without binning, in an algorithm of comparative time complexity.

Place, publisher, year, edition, pages
New York, NY: Association for Computing Machinery (ACM), 2011.
Keyword [en]
complex weighting, histogram of oriented gradients, structure tensor
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-19888DOI: 10.1145/2093698.2093794Scopus ID: 2-s2.0-84856697701ISBN: 978-1-4503-0913-4 OAI: oai:DiVA.org:hh-19888DiVA: diva2:563310
Conference
The 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL’11, October 26-29, Barcelona
Available from: 2012-12-19 Created: 2012-10-29 Last updated: 2012-12-19Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf