Product geometric quality is critical to product functionality and proper fit. In AM, the post-production measurement of product accuracy is often conducted through 3D scanning using structured light scanning or laser scanning. A cloud of points will be generated by the 3D scanner to digitally replicate the scanned object or manufactured part. Embedded in the Euclidean space, each point has its set of Cartesian coordinates measuring a point on the exterior surface or boundary of an object. Depending on the sensing and scanning techniques, each point may also contain RGB color data or intensity information. Point clouds have been widely used in many engineering and medical disciplines such as computer-aided design, reverse engineering, metrology and quality inspection, architecture modeling, geographic information systems, augmented reality, and medical imaging.