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An Evaluation of Local Feature Detectors and Descriptors for Infrared Images
KTH, School of Computer Science and Communication (CSC).
FLIR Systems AB.
KTH, School of Computer Science and Communication (CSC), Robotics, perception and learning, RPL.ORCID iD: 0000-0002-4266-6746
2016 (English)In: Lecture Notes in Computer Science, Volume 9915, 2016, 711-723 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper provides a comparative performance evaluation of local features for infrared (IR) images across different combinations of common detectors and descriptors. Although numerous studies report comparisons of local features designed for ordinary visual images, their performance on IR images is far less charted. We perform a systematic investigation, thoroughly exploiting the established benchmark while also introducing a new IR image data set. The contribution is two-fold: we (i) evaluate the performance of both local float type and more recent binary type detectors and descriptors in their combinations under a variety (6 kinds) of image transformations, and (ii) make a new IR image data set publicly available. Through our investigation we gain novel and useful insights for applying state-of-the art local features to IR images with different properties.

Place, publisher, year, edition, pages
2016. 711-723 p.
Keyword [en]
Infrared images, Local features, Detectors, Descriptors
National Category
Computer Vision and Robotics (Autonomous Systems)
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-199391ISI: 000389501100059Scopus ID: 2-s2.0-85006004155OAI: oai:DiVA.org:kth-199391DiVA: diva2:1062250
Conference
European Conference on Computer Vision (ECCV) Workshop
Note

QC 20170118

Available from: 2017-01-05 Created: 2017-01-05 Last updated: 2017-11-09Bibliographically approved

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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