Concave Hull Detection

Function Overview

Extracts the 2.5D concave hull of a point cloud. The concave hull is computed on the XY plane (Z values are ignored for boundary detection). The output is a vector file containing the concave hull boundary points connected in sequential order. Each point on the concave hull is derived from the original point cloud and retains its Z value.

Usage

Click Data Management > Point Cloud Tools > Concave Hull Detection.

Parameter Settings

• Input Data: The input can be a single point cloud data file or a point cloud dataset. The data to be processed must be opened in the LiDAR360 software.
• Max Edge Length (default: 0, meaning no constraint): The maximum distance (Len) of each edge of the output concave hull on the XY plane. The algorithm first detects the convex hull of the point cloud and then iteratively captures the concave hull inward while ensuring that no edge exceeds Len. A larger value improves computational efficiency but may fail to capture detailed boundary features. A smaller value causes the boundary to extend excessively inward, reducing computational efficiency. For optimal results, it is recommended to set this value to more than twice the average point density of the point cloud. Setting this value to 0 allows the program to automatically estimate the average point density and use twice that value for computation.
• Output Path: The path to save the resulting concave hull vector file.