Thermal Polarimetric Multi-view Stereo
Fuente:
arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866909867065737216 |
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| author | Kushida, Takahiro Tanaka, Kenichiro |
| author_facet | Kushida, Takahiro Tanaka, Kenichiro |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_20972 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Thermal Polarimetric Multi-view Stereo Kushida, Takahiro Tanaka, Kenichiro Computer Vision and Pattern Recognition 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. |
| title | Thermal Polarimetric Multi-view Stereo |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2510.20972 |