用热偏振信息重建3D形状，不依赖光照和材质。
Thermal Polarimetric Multi-view Stereo
- 基于热偏振成像的多视角3D重建新方法
- 可精确还原透明、半透明及异质物体细节
- 适合无光照依赖的复杂场景三维建模
本文提出一种利用热偏振线索进行精细3D形状重建的新方法。与现有技术不同，该方法不受光照条件和材料属性影响。文中建立了通用的偏振观测理论，证明长波红外（LWIR）偏振成像可避免可见光偏振分析中的模糊问题。随后，提出一种基于多视角热偏振图像的3D形状恢复方法。实验结果表明，该方法能有效重建透明、半透明及异质物体的细微结构，性能优于现有技术。
原文摘要 · Abstract (English)
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.
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