Deep Near-Light Photometric Stereo for Spatially Varying Reflectances
Deep Near-Light Photometric Stereo for Spatially Varying Reflectances
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DOI：
10.1007/978-3-030-58598-3_9
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
Hiroaki Santo;M. Waechter;Y. Matsushita
中科院分区：
文献类型：
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作者：
Hiroaki Santo;M. Waechter;Y. Matsushita
本文提出了一种空间变化反射率的近光立体测光方法。最近在光度学立体方面的研究提出了基于学习的方法来处理不同的真实世界的反射率，并与传统方法相比获得了更高的精度。然而，它们假定远光(即平行的)光，这在实际设置中只能近似地实现，并且在近光条件下失败。近光光度立体方法解决了近光条件，但以前的工作仅限于过度简化的反射率，如朗伯反射率。该方法采用远光和近光模型的混合方法，在远光假设下局部计算小区域(对应于一个像素)的表面法线，并基于近光成像模型评估重建误差。这是解决近光光度立体中未知的、空间变化的、不同的反射率的第一个工作。
This paper presents a near-light photometric stereo method for spatially varying reflectances. Recent studies in photometric stereo proposed learning-based approaches to handle diverse real-world reflectances and achieve high accuracy compared to conventional methods. However, they assume distant (i.e., parallel) lights, which can in practical settings only be approximately realized, and they fail in near-light conditions. Near-light photometric stereo methods address near-light conditions but previous works are limited to over-simplified reflectances, such as Lambertian reflectance. The proposed method takes a hybrid approach of distant- and near-light models, where the surface normal of a small area (corresponding to a pixel) is computed locally with a distant light assumption, and the reconstruction error is assessed based on a near-light image formation model. This paper is the first work to solve unknown, spatially varying, diverse reflectances in near-light photometric stereo.