Light Source Separation and Intrinsic Image Decomposition
under AC Illumination
Yusaku Yoshida, Ryo Kawahara, and Takahiro Okabe
Kyushu Institute of Technology
Artificial light sources are often powered by an electric grid, and then their intensities rapidly oscillate in response to the grid's alternating current (AC).
Interestingly, the flickers of scene radiance values due to AC illumination are useful for extracting rich information on a scene of interest.
In this paper, we show that the flickers due to AC illumination is useful for intrinsic image decomposition (IID).
Our proposed method conducts the light source separation (LSS) followed by the IID under AC illumination.
In particular, we reveal the ambiguity in the blind LSS via matrix factorization and the ambiguity in the IID assuming the diffuse reflection model, and then show why and how those ambiguities can be resolved via a physics-based approach.
We experimentally confirmed that our method can recover the colors of the light sources, the diffuse reflectance values, and the diffuse and specular intensities (shadings) under each of the light sources, and that the IID under AC illumination is effective for application to auto white balancing.
- Yusaku Yoshida, Ryo Kawahara, and Takahiro Okabe,
"Light Source Separation and Intrinsic Image Decomposition under AC Illumination",
In Proc. the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023 (CVPR2023),
pp.5735-5743, June 2023, Vancouver, Canada. (poster)