CVIVDec 7, 2023

Polarimetric Light Transport Analysis for Specular Inter-reflection

arXiv:2312.04140v27 citationsh-index: 2IEEE Trans Comput Imaging
Originality Incremental advance
AI Analysis

This addresses a specific problem in computer vision and graphics for applications like 3D measurement, but it is incremental as it builds on existing polarization-based decomposition methods.

The paper tackles the problem of decomposing specular inter-reflections in metal objects, which existing methods overlook, by using the rotation direction of linear polarization as a discriminative feature, and demonstrates its effectiveness in improving 3D measurement accuracy against strong specular inter-reflection.

Polarization is well known for its ability to decompose diffuse and specular reflections. However, the existing decomposition methods only focus on direct reflection and overlook multiple reflections, especially specular inter-reflection. In this paper, we propose a novel decomposition method for handling specular inter-reflection of metal objects by using a unique polarimetric feature: the rotation direction of linear polarization. This rotation direction serves as a discriminative factor between direct and inter-reflection on specular surfaces. To decompose the reflectance components, we actively rotate the linear polarization of incident light and analyze the rotation direction of the reflected light. We evaluate our method using both synthetic and real data, demonstrating its effectiveness in decomposing specular inter-reflections of metal objects. Furthermore, we demonstrate that our method can be combined with other decomposition methods for a detailed analysis of light transport. As a practical application, we show its effectiveness in improving the accuracy of 3D measurement against strong specular inter-reflection.

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