Rapid point cloud alignment and classification with basis set learning
摘要
說明書
The point cloud 114 generated by the 3D scanner 112 has an unordered structure. For example, data points are randomly positioned within the point cloud 114 such that the point cloud 114 may lack i) semantic structure, ii) a known spatial arrangement or context between data points, iii) a notion of neighborhood (e.g., indication of proximity between subsequent data points), and/or the like. In addition, the number of data points included in the point cloud 114 may vary depending on the 3D scanner 112 and/or the user 5, such that a first point cloud 114a may have a first number of data points (e.g., n=10,000) while a second point cloud 114b may have a second number of data points (e.g., n=100,000). For ease of illustration, the point cloud 112 may be referred to as point cloud data, unstructured data, unstructured data points, and/or the like without departing from the disclosure.
