Detail publikace

Feature Point Detection under Extreme Lighting Conditions

Originální název

Feature Point Detection under Extreme Lighting Conditions

Anglický název

Feature Point Detection under Extreme Lighting Conditions

Jazyk

en

Originální abstrakt

This paper evaluates the suitability of tone-mapped high dynamic range imagery for feature point detection under extreme lighting conditions. The conditions are extreme in respect to the dynamic range of the lighting within the test scenes used. This dynamic range cannot be captured using standard low dynamic range imagery techniques without loss of detail. Four widely used feature point detectors are used in the experiments: Harris corner detector, Shi-Tomasi, FAST and Fast Hessian. Their repeatability rate is studied under changes of camera viewpoint, camera distance and scene lighting with respect to the image formats used. The results of the experiments show which image formats perform best and what the most appropriate scenarios for their use are. Data used in the experiments is available as supplementary material (http://www.fit.vutbr.cz/~ipribyl/FPinHDR/).

Anglický abstrakt

This paper evaluates the suitability of tone-mapped high dynamic range imagery for feature point detection under extreme lighting conditions. The conditions are extreme in respect to the dynamic range of the lighting within the test scenes used. This dynamic range cannot be captured using standard low dynamic range imagery techniques without loss of detail. Four widely used feature point detectors are used in the experiments: Harris corner detector, Shi-Tomasi, FAST and Fast Hessian. Their repeatability rate is studied under changes of camera viewpoint, camera distance and scene lighting with respect to the image formats used. The results of the experiments show which image formats perform best and what the most appropriate scenarios for their use are. Data used in the experiments is available as supplementary material (http://www.fit.vutbr.cz/~ipribyl/FPinHDR/).

BibTex


@inproceedings{BUT91477,
  author="Bronislav {Přibyl} and Alan {Chalmers} and Pavel {Zemčík}",
  title="Feature Point Detection under Extreme Lighting Conditions",
  annote="This paper evaluates the suitability of tone-mapped high dynamic range imagery
for feature point detection under extreme lighting conditions. The conditions are
extreme in respect to the dynamic range of the lighting within the test scenes
used. This dynamic range cannot be captured using standard low dynamic range
imagery techniques without loss of detail. Four widely used feature point
detectors are used in the experiments: Harris corner detector, Shi-Tomasi, FAST
and Fast Hessian. Their repeatability rate is studied under changes of camera
viewpoint, camera distance and scene lighting with respect to the image formats
used. The results of the experiments show which image formats perform best and
what the most appropriate scenarios for their use are.

Data used in the experiments is available as supplementary material
(http://www.fit.vutbr.cz/~ipribyl/FPinHDR/).",
  address="Comenius University in Bratislava",
  booktitle="Spring Conference on Computer Graphics",
  chapter="91477",
  doi="10.1145/2448531.2448550",
  edition="NEUVEDEN",
  howpublished="print",
  institution="Comenius University in Bratislava",
  year="2012",
  month="may",
  pages="156--163",
  publisher="Comenius University in Bratislava",
  type="conference paper"
}