Estimating Surface Reflectance Spectra for Underwater Color Vision
Sandra Skaff, James Clark, Ioannis Rekleitis
In British Machine Vision Conference (BMVC) 2008.
Abstract
This paper introduces a novel mathematical approach to surface spectral reflectance estimation in unknown underwater environments using uncalibrated color cameras. The approach derives surface spectral estimates without explicitly modeling the underwater medium characteristics such as light scattering and absorption. The latter two phenomena are dependent upon two parameters, which are the distance of the object from the camera and the depth of the object in water. The proposed approach does not require these parameters to be specified in advance. Spectral models are useful for underwater applications, where subtle differences in color need to be distinguished. Such models are also useful for fusing information from multiple images. We show that the proposed approach yields promising results.
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BibTeX
@inproceedings{SkaffBMVC2008,
author = {Sandra Skaff and James Clark and Ioannis Rekleitis},
title = {Estimating Surface Reflectance Spectra for Underwater
Color Vision},
booktitle = {British Machine Vision Conference (BMVC)},
year = {2008},
month = {Sep.},
pages = {1015-1024},
address = {Leeds, U.K.}
}
Thu Apr 18 06:21:02 EDT 2024