Point cloud processing

Point cloud processing refers to the analysis and manipulation of data that represents a three-dimensional shape or object in space. This data is collected through technologies like LIDAR or 3D scanning, resulting in a set of points, where each point has coordinates (x, y, z). Processing these point clouds involves cleaning the data, transforming it into usable forms, and extracting meaningful information, such as surfaces or features. It is widely used in fields like construction, robotics, and virtual reality to help visualize and understand complex spatial information.