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Related Experiment Videos

Robust radiometric calibration and vignetting correction.

Seon Joo Kim1, Marc Pollefeys

  • 1Departmernt of Computer Science, University of North Carolina at Chapel Hill, NC 27539, USA. sjkim@cs.unc.edu

IEEE Transactions on Pattern Analysis and Machine Intelligence
|February 16, 2008
PubMed
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This study introduces a full radiometric calibration algorithm to fix inconsistent colors in computer vision. The method accurately estimates camera response, exposure, and vignetting for seamless image mosaics and 3D textures.

Area of Science:

  • Computer Vision
  • Image Processing
  • Radiometry

Background:

  • Standard computer vision assumes linear camera response, but nonlinearities, exposure variations, and vignetting cause image inconsistencies.
  • These radiometric errors are particularly evident in image mosaics and 3D model textures, leading to visible seams and color discrepancies.

Purpose of the Study:

  • To develop a comprehensive radiometric calibration algorithm for computer vision systems.
  • To robustly estimate the nonlinear camera response function, exposure, and vignetting.
  • To improve the radiometric alignment of images for applications like mosaics and 3D model texturing.

Main Methods:

  • A novel full radiometric calibration algorithm is proposed.
  • The algorithm robustly estimates the radiometric response function, exposure, and vignetting.

Related Experiment Videos

  • Vignetting effects are decoupled from response function estimation for improved noise and outlier robustness.

    • Main Results:

    • The proposed algorithm demonstrates significant improvements over existing methods on both synthetic and real-world data.
    • Radiometric alignment for seamless mosaics and 3D model textures is achieved.
    • High dynamic range (HDR) mosaics, more representative of the scene, are generated.

    Conclusions:

    • The developed algorithm effectively addresses radiometric inconsistencies in images.
    • Accurate radiometric calibration enables high-quality image mosaics and 3D model texturing.
    • The method facilitates the creation of more accurate and visually consistent HDR imagery.