ICCV 2025poster0 citations

Thermal Polarimetric Multi-view Stereo

Takahiro Kushida, Kenichiro Tanaka

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.

BibTeX
@InProceedings{Kushida_2025_ICCV,
    author    = {Kushida, Takahiro and Tanaka, Kenichiro},
    title     = {Thermal Polarimetric Multi-view Stereo},
    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    month     = {October},
    year      = {2025},
    pages     = {27390-27399}
}