In this paper, we present a practical method for reconstructing the bidirectional reflectance distribution function (BRDF) from multiple images of a real object composed of a homogeneous material. The key idea is that the BRDF can be sampled after geometry estimation using multi-view stereo (MVS) techniques. Our contribution is selection of reliable samples of lighting, surface normal, and viewing directions for robustness against estimation errors of MVS. Our method is quantitatively evaluated using synthesized images and its effectiveness is shown via real-world experiments.

中文翻译：

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使用多视点立体声中可靠的几何区域进行实用的BRDF重建

在本文中，我们提出了一种从均质材料组成的真实物体的多个图像中重建双向反射率分布函数（BRDF）的实用方法。关键思想是可以在使用多视图立体（MVS）技术进行几何估计之后对BRDF进行采样。我们的贡献是选择可靠的照明样本，表面法线和观察方向，以抵抗MVS估计误差。我们的方法使用合成图像进行了定量评估，其有效性通过实际实验得到了证明。