English

Thermal Polarimetric Multi-view Stereo

Computer Vision and Pattern Recognition 2025-10-27 v1

Abstract

This paper introduces a novel method for detailed 3D shape reconstruction utilizing thermal polarization cues. Unlike state-of-the-art methods, the proposed approach is independent of illumination and material properties. In this paper, we formulate a general theory of polarization observation and show that long-wave infrared (LWIR) polarimetric imaging is free from the ambiguities that affect visible polarization analyses. Subsequently, we propose a method for recovering detailed 3D shapes using multi-view thermal polarimetric images. Experimental results demonstrate that our approach effectively reconstructs fine details in transparent, translucent, and heterogeneous objects, outperforming existing techniques.

Keywords

Cite

@article{arxiv.2510.20972,
  title  = {Thermal Polarimetric Multi-view Stereo},
  author = {Takahiro Kushida and Kenichiro Tanaka},
  journal= {arXiv preprint arXiv:2510.20972},
  year   = {2025}
}

Comments

ICCV 2025

R2 v1 2026-07-01T07:02:58.926Z