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Robust Radiometric Calibration and Vignetting Correction
April 2008 (vol. 30 no. 4)
pp. 562-576
ASCII Text
x 
 
Seon Joo Kim, Marc Pollefeys, "Robust Radiometric Calibration and Vignetting Correction," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, no. 4, pp. 562-576, April, 2008.
 
 
BibTex
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@article{ 10.1109/TPAMI.2007.70732,
author = {Seon Joo Kim and Marc Pollefeys},
title = {Robust Radiometric Calibration and Vignetting Correction},
journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume = {30},
number = {4},
issn = {0162-8828},
year = {2008},
pages = {562-576},
doi = {http://doi.ieeecomputersociety.org/10.1109/TPAMI.2007.70732},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Pattern Analysis and Machine Intelligence
TI - Robust Radiometric Calibration and Vignetting Correction
IS - 4
SN - 0162-8828
SP562
EP576
EPD - 562-576
A1 - Seon Joo Kim,
A1 - Marc Pollefeys,
PY - 2008
KW - Radiometric response function
KW - vignetting
KW - radiometricimage alignment
KW - high dynamic range imaging
VL - 30
JA - IEEE Transactions on Pattern Analysis and Machine Intelligence
ER -
 
In many computer vision systems, it is assumedthat the image brightness of a point directly reflects the sceneradiance of the point. However, the assumption does not hold inmost cases due to nonlinear camera response function, exposurechanges, and vignetting. The effects of these factors are mostvisible in image mosaics and textures of 3D models wherecolors look inconsistent and notable boundaries exist. In thispaper, we propose a full radiometric calibration algorithm thatincludes robust estimation of the radiometric response function,exposures, and vignetting. By decoupling the effect of vignettingfrom the response function estimation, we approach each processin a manner that is robust to noise and outliers. We verifyour algorithm with both synthetic and real data which showssignificant improvement compared to existing methods. We applyour estimation results to radiometrically align images for seamlessmosaics and 3D model textures. We also use our methodto create high dynamic range (HDR) mosaics which are morerepresentative of the scene than normal mosaics.

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Index Terms:
Radiometric response function, vignetting, radiometricimage alignment, high dynamic range imaging
Citation:
Seon Joo Kim, Marc Pollefeys, "Robust Radiometric Calibration and Vignetting Correction," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, no. 4, pp. 562-576, April 2008, doi:10.1109/TPAMI.2007.70732
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