Polarized Color Screen Matting
Abstract
This paper considers the long-standing problem of extracting alpha mattes from video using a known background. While various color-based or polarization-based approaches have been studied in past decades, the problem remains ill-posed because the solutions solely rely on either color or polarization. We introduce Polarized Color Screen Matting, a single-shot, per-pixel matting theory for alpha matte and foreground color recovery using both color and polarization cues. Through a theoretical analysis of our diffuse-specular polarimetric compositing equation, we derive practical closed-form matting methods with their solvability conditions. Our theory concludes that an alpha matte can be extracted without manual corrections using off-the-shelf equipment such as an LCD monitor, polarization camera, and unpolarized lights with calibrated color. Experiments on synthetic and real-world datasets verify the validity of our theory and show the capability of our matting methods on real videos with quantitative and qualitative comparisons to color-based and polarization-based matting methods.
Cite
Text
Enomoto et al. "Polarized Color Screen Matting." Conference on Computer Vision and Pattern Recognition, 2025. doi:10.1109/CVPR52734.2025.00045Markdown
[Enomoto et al. "Polarized Color Screen Matting." Conference on Computer Vision and Pattern Recognition, 2025.](https://mlanthology.org/cvpr/2025/enomoto2025cvpr-polarized/) doi:10.1109/CVPR52734.2025.00045BibTeX
@inproceedings{enomoto2025cvpr-polarized,
title = {{Polarized Color Screen Matting}},
author = {Enomoto, Kenji and Cohen, Scott and Price, Brian and Rhodes, Tj},
booktitle = {Conference on Computer Vision and Pattern Recognition},
year = {2025},
pages = {391-399},
doi = {10.1109/CVPR52734.2025.00045},
url = {https://mlanthology.org/cvpr/2025/enomoto2025cvpr-polarized/}
}