We propose a novel approach for surface finish classification of digitally fabricated structures using an industrial depth camera. Data collected at different viewpoints are jointly processed to derive the spatial distribution of features describing the reflectance, which is in turn related to the surface finish. The features can be used to classify the surfaces according to their finish e.g., for assessing the homogeneity or conformance. We apply the method to four sprayed plaster specimens of similar visual appearance but different roughness. Using nearest neighbor classification we achieve an accuracy of 97% for the plaster samples. The approach is a contribution towards real-time quality inspection in digital fabrication.

我们提出了一种使用工业深度相机对数字制造结构进行表面光洁度分类的新方法。在不同视点收集的数据被联合处理，以获得描述反射率的特征的空间分布，这反过来又与表面光洁度有关。这些特征可用于根据表面的光洁度对表面进行分类，例如，用于评估均匀性或一致性。我们将该方法应用于四个外观相似但粗糙度不同的喷涂石膏样品。使用最近邻分类，我们对石膏样本达到了 97% 的准确率。该方法对数字制造中的实时质量检查做出了贡献。