Conference paper

PŘIBYL Bronislav, CHALMERS Alan and ZEMČÍK Pavel. Feature Point Detection under Extreme Lighting Conditions. In: Spring Conference on Computer Graphics. Smolenice: Comenius University in Bratislava, 2012, pp. 156-163. ISBN 978-80-223-3211-8. Available from:
Publication language:english
Original title:Feature Point Detection under Extreme Lighting Conditions
Title (cs):Detekce klíčových bodů za extrémních světelných podmínek
Proceedings:Spring Conference on Computer Graphics
Conference:Spring Conference on Computer Graphics 2012
Place:Smolenice, SK
Publisher:Comenius University in Bratislava
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feature point detection, interest point detection, corner point detection, Harris corner detector, Shi-Tomasi, FAST, Fast
Hessian, SURF, high dynamic range imagery, HDR, Wallis filter
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.

   author = {Bronislav P{\v{r}}ibyl and Alan Chalmers and Pavel
   title = {Feature Point Detection under Extreme Lighting Conditions},
   pages = {156--163},
   booktitle = {Spring Conference on Computer Graphics},
   year = {2012},
   location = {Smolenice, SK},
   publisher = {Comenius University in Bratislava},
   ISBN = {978-80-223-3211-8},
   language = {english},
   url = {}

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