ICCV 2025poster0 citations

Spectral Sensitivity Estimation with an Uncalibrated Diffraction Grating

Lilika Makabe, Hiroaki Santo, Fumio Okura, Michael S. Brown, Yasuyuki Matsushita

Abstract

This paper introduces a practical and accurate calibration method for camera spectral sensitivity using a diffraction grating. Accurate calibration of camera spectral sensitivity is crucial for various computer vision tasks, including color correction, illumination estimation, and material analysis. Unlike existing approaches that require specialized narrow-band filters or reference targets with known spectral reflectances, our method only requires an uncalibrated diffraction grating sheet, readily available off-the-shelf. By capturing images of the direct illumination and its diffracted pattern through the grating sheet, our method estimates both the camera spectral sensitivity and the diffraction grating parameters in a closed-form manner. Experiments on synthetic and real-world data demonstrate that our method outperforms conventional reference target-based methods, underscoring its effectiveness and practicality.

BibTeX
@InProceedings{Makabe_2025_ICCV,
    author    = {Makabe, Lilika and Santo, Hiroaki and Okura, Fumio and Brown, Michael S. and Matsushita, Yasuyuki},
    title     = {Spectral Sensitivity Estimation with an Uncalibrated Diffraction Grating},
    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    month     = {October},
    year      = {2025},
    pages     = {27252-27261}
}
Spectral Sensitivity Estimation with an Uncalibrated Diffraction Grating · ICCV 2025