Publication Details
Evaluation of Feature Point Detection in High Dynamic Range Imagery
Chalmers Alan ( unknown)
Zemčík Pavel, prof. Dr. Ing. (DCGM FIT BUT)
Hooberman Lucy (University of Warwick)
Čadík Martin, doc. Ing., Ph.D. (DCGM FIT BUT)
Feature Point Detection, Interest Point Detection, Corner Point Detection, High Dynamic Range Imagery, Repeatability Rate, Evaluation of Tone Mapping Operators
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/
![[img]](https://www.fit.vutbr.cz/~ipribyl/FPinHDR/EoFPDiHDRI.png)
@ARTICLE{FITPUB10251,
author = "Bronislav P\v{r}ibyl and Alan Chalmers and Pavel Zem\v{c}\'{i}k and Lucy Hooberman and Martin \v{C}ad\'{i}k",
title = "Evaluation of Feature Point Detection in High Dynamic Range Imagery",
pages = "141--160",
journal = "Journal of Visual Communication and Image Representation",
volume = 38,
number = 1,
year = 2016,
ISSN = "1047-3203",
doi = "10.1016/j.jvcir.2016.02.007",
language = "english",
url = "https://www.fit.vut.cz/research/publication/10251"
}