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The Effect of Radiometric Correction on Multicamera Algorithms (1997)
| Venue: | In biomedical imaging, errors |
| Citations: | 4 - 4 self |
BibTeX
@TECHREPORT{Kamberova97theeffect,
author = {Gerda Kamberova and Ruzena Bajcsy},
title = {The Effect of Radiometric Correction on Multicamera Algorithms},
institution = {In biomedical imaging, errors},
year = {1997}
}
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Abstract
We present preliminary results confirming the importance of radiometric correction in multicamera applications. Although, in this paper we compensate for systematic noise only, we review all noise sources in the video sensor (systematic and random). We use a simple model for radiometric correction of digital images. The correction procedure is tested on the disparity map computation in stereo matching, particularly in a case where stereo usually fails --- almost textureless white surface. Without correcting radiometricly, the matching algorithm matches systematic noise components in the two images. With the correction, after removing the systematic noise, an improvement of 26% to 59% in relative rms of the disparity map is demonstrated (the higher the intensity of the flat field, the better the improvement). 1 Introduction When multiple sensors are used in applications requiring hard performance guarantees, correcting for errors and obtaining objective confidence measures for the unce...
Keyphrases
radiometric correction multicamera algorithm systematic noise multicamera application correction procedure hard performance guarantee relative rms disparity map computation algorithm match systematic noise component disparity map stereo matching preliminary result simple model video sensor digital image multiple sensor objective confidence measure flat field noise source textureless white surface
