One-Shot Polarization-Based Material Classification with Optimal Illumination

Miho Kurachi, Ryo Kawahara, Takahiro Okabe

2025

Abstract

Image-based classification of surface materials is important for machine vision applications such as visual inspection. In this paper, we propose a novel method for one-shot per-pixel classification of raw materials on the basis of polarimetric feature such as the degree of linear polarization (DoLP) and the angle of linear polarization (AoLP). It is known that the polarimetric feature depends not only on the intrinsic properties of surface materials but also on the directions and wavelengths of light sources. Accordingly, our proposed method jointly optimizes the non-negative light source intensities for feature extraction and the discriminant hyperplane in the feature space via margin maximization so that the appearances of different materials are discriminative. We conducted a number of experiments using real images captured by using a light stage, and show that our method using a single input image works better than/comparably to the existing methods using a single/multiple input images.

Paper Citation

in Harvard Style

Kurachi M., Kawahara R. and Okabe T. (2025). One-Shot Polarization-Based Material Classification with Optimal Illumination. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP; ISBN 978-989-758-728-3, SciTePress, pages 738-745. DOI: 10.5220/0013312700003912

in Bibtex Style

@conference{visapp25,
author={Miho Kurachi and Ryo Kawahara and Takahiro Okabe},
title={One-Shot Polarization-Based Material Classification with Optimal Illumination},
booktitle={Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP},
year={2025},
pages={738-745},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013312700003912},
isbn={978-989-758-728-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP
TI - One-Shot Polarization-Based Material Classification with Optimal Illumination
SN - 978-989-758-728-3
AU - Kurachi M.
AU - Kawahara R.
AU - Okabe T.
PY - 2025
SP - 738
EP - 745
DO - 10.5220/0013312700003912
PB - SciTePress