Robust radiometric calibration and vignetting correction

Seon Joo Kim, Marc Pollefeys

Research output: Contribution to journalArticle

169 Citations (Scopus)

Abstract

In many computer vision systems, it is assumedthat the image brightness of a point directly reflects the scene radiance of the point. However, the assumption does not hold inmost cases due to nonlinear camera response function, exposure changes, and vignetting. The effects of these factors are mostvisible in image mosaics and textures of 3D models where colors look in consistent and notable boundaries exist. In thispaper, we propose a full radiometric calibration algorithm that includes robust estimation of the radiometric response function, exposures, and vignetting. By decoupling the effect of vignetting from 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 more representative of the scene than normal mosaics.

Original languageEnglish
Pages (from-to)562-576
Number of pages15
JournalIEEE transactions on pattern analysis and machine intelligence
Volume30
Issue number4
DOIs
Publication statusPublished - 2008 Apr 1

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Applied Mathematics

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