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Evaluation of feature point detection in high dynamic range imagery
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Přibyl, Bronislav, Chalmers, Alan, Zemčík, Pavel, Hooberman, Lucy and Čadík, Martin (2016) Evaluation of feature point detection in high dynamic range imagery. Journal of Visual Communication and Image Representation, 38 . pp. 141-160. doi:10.1016/j.jvcir.2016.02.007 ISSN 1047-3203.
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Official URL: http://dx.doi.org/10.1016/j.jvcir.2016.02.007
Abstract
This paper evaluates the suitability of High Dynamic Range (HDR) imaging techniques for Feature Point (FP) detection under demanding lighting conditions. The FPs are evaluated in HDR, tone mapped HDR, and traditional Low Dynamic Range (LDR) images. Eleven global and local tone mapping operators are evaluated and six widely used FP detectors are used in the experiments (Harris, Shi–Tomasi, DoG, Fast Hessian, FAST, and BRISK). The distribution and repeatability rate of FPs are studied under changes of camera viewpoint, camera distance, and scene lighting. The results of the experiments show that current FP detectors cannot cope with HDR images well. The best contemporary solution is thus tone mapping of HDR images using a local tone mapper as a pre-processing step.
Item Type: | Journal Article | ||||||||
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||||
Journal or Publication Title: | Journal of Visual Communication and Image Representation | ||||||||
Publisher: | Academic Press Inc Elsevier Science | ||||||||
ISSN: | 1047-3203 | ||||||||
Official Date: | July 2016 | ||||||||
Dates: |
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Volume: | 38 | ||||||||
Page Range: | pp. 141-160 | ||||||||
DOI: | 10.1016/j.jvcir.2016.02.007 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Restricted or Subscription Access |
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