PointCloudSimplifier

点云功能。

Point cloud features with a simplified subset of the original points.

Point cloud features containing all points not included in the simplified point cloud.

非点云几何形状通过该输出port.

Medial Axis Transform:执行简化基于内侧轴Transform (MAT). This method estimates normals for each point and uses a ball-shrinking algorithm to approximate the MAT. Then it samples the point cloud based on each point’s Local Feature Size (LFS), defined by the shortest distance from the point to the medial axis. Points in areas of high curvature (low LFS) are sampled at a higher density than redundant low curvature (high LFS) points.

Specifies the desired level of simplification, relates LFS values to sampling density. Higher values will result in lower overall density. Typical values range from 0.01 to 0.8.

Specifies the minimum sampling density for grid cells (in points per square unit). A value of 0 means that the sampling density is not bounded from below. This can be useful to maintain a minimum level of detail in nearly flat regions which would otherwise be removed entirely because of plane detection.

Specifies the maximum sampling density for grid cells (in points per square unit). A value of 0 means that sampling density is not bounded from above.

线性：在简化期间使用未修改的LFS值。

Quadratic (LFS^2): Use the square of the LFS value for each point during simplification. This will increase the effect that curvature has on point sampling.

指定基于网格的LFS简化的单元格大小。在简化期间，点云分为这种尺寸的均匀网格。基于其包含点的平均值值计算每个单元的采样密度。这应该尽可能小，但足够大，平均每种细胞5-10点。选择AutoFME估计会让一个合理的基于单元格大小on the bounding box and number of points in the input point cloud.

指定球收缩算法使用的初始半径。在近似垫时，较大的值将允许检测更大的形状。选择Autowill let FME estimate a reasonable initial radius based on the bounding box and number of points in the input point cloud.

指定在估算点法线时要考虑的附近点数。使用更高的值使用更密集的输入来产生更一致的正常量。典型值范围为5到20。

Specifies the minimum angle (in degrees) between the defining points for a medial ball during a ball-shrinking iteration. Iteration stops when the angle would fall below this threshold. A value of 0 means that no ball preservation takes place. Typical values range from 0 to 30.

指定初始内侧球的定义点之间的最小角度（以度）。如果第一迭代的角度低于该阈值，则没有分配内侧球。值为0表示没有发生平面检测。典型值范围为0到40。

指定附近要检查的附近点数Bisector Threshold。较高的值将导致更少的嘈杂垫点，但也会限制检测小功能的能力。典型值范围为1到5。

这Bisector Thresholdis used to clean the MAT points before LFS computation. Lower values mean more aggressive cleaning which means more robustness to noise in the MAT, but fewer features will be detected. Typical values range from 0.1 to 10.

Use Interior MAT Only：计算LFS值时只考虑内部垫。

Use Interior and Exterior MAT: Consider both the interior and exterior MAT when computing LFS values.