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PŘIBYL, B. CHALMERS, A. ZEMČÍK, P. HOOBERMAN, L. ČADÍK, M.
Original Title
Evaluation of Feature Point Detection in High Dynamic Range Imagery
Type
journal article in Web of Science
Language
English
Original 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. 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, High Dynamic Range Imagery, Repeatability Rate, Evaluation of Tone Mapping Operators
Authors
PŘIBYL, B.; CHALMERS, A.; ZEMČÍK, P.; HOOBERMAN, L.; ČADÍK, M.
Released
24. 2. 2016
ISBN
1047-3203
Periodical
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
Year of study
38
Number
1
State
United States of America
Pages from
141
Pages to
160
Pages count
20
URL
http://dx.doi.org/10.1016/j.jvcir.2016.02.007
BibTex
@article{BUT130901, author="Bronislav {Přibyl} and Alan {Chalmers} and Pavel {Zemčík} and Lucy {Hooberman} and Martin {Čadík}", title="Evaluation of Feature Point Detection in High Dynamic Range Imagery", journal="JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION", year="2016", volume="38", number="1", pages="141--160", doi="10.1016/j.jvcir.2016.02.007", issn="1047-3203", url="http://dx.doi.org/10.1016/j.jvcir.2016.02.007" }