Thermal Polarimetric Multi-view Stereo
This addresses the problem of detailed 3D reconstruction for objects with challenging properties like transparency, offering a novel approach that is incremental in improving over existing methods.
The paper tackles 3D shape reconstruction by using thermal polarization cues, which are independent of illumination and material properties, and demonstrates that it effectively reconstructs fine details in objects like transparent ones, outperforming existing techniques.
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.