Publication detail

Feature Point Detection under Extreme Lighting Conditions

PŘIBYL, B. CHALMERS, A. ZEMČÍK, P.

Original Title

Feature Point Detection under Extreme Lighting Conditions

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

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/).

Keywords

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

Authors

PŘIBYL, B.; CHALMERS, A.; ZEMČÍK, P.

RIV year

2012

Released

2. 5. 2012

Publisher

Comenius University in Bratislava

Location

Smolenice

ISBN

978-80-223-3211-8

Book

Spring Conference on Computer Graphics

Pages from

156

Pages to

163

Pages count

8

URL

http://doi.acm.org/10.1145/2448531.2448550

BibTex

@inproceedings{BUT91477,
  author="Bronislav {Přibyl} and Alan {Chalmers} and Pavel {Zemčík}",
  title="Feature Point Detection under Extreme Lighting Conditions",
  booktitle="Spring Conference on Computer Graphics",
  year="2012",
  pages="156--163",
  publisher="Comenius University in Bratislava",
  address="Smolenice",
  doi="10.1145/2448531.2448550",
  isbn="978-80-223-3211-8",
  url="http://doi.acm.org/10.1145/2448531.2448550"
}