StatisticalOutlierRemoval
https://pointclouds.org/documentation/classpcl_1_1_statistical_outlier_removal.html
StatisticalOutlierRemoval
使用点邻域统计过滤异常数据。
构造函数
new PCL.StatisticalOutlierRemoval(pointType, removed);
参数:
Name | Type | Default | 描述 |
---|---|---|---|
pointType | PointType | PointXYZ | The point cloud type. |
extractRemovedIndices | boolean | false | Initializing with true will allow us to extract the removed indices. |
方法
setMeanK
setMeanK(nrK);
设置用于平均距离估计的最近邻的数量。
参数:
Name | Type | Default | 描述 |
---|---|---|---|
nrK | number | The number of points to use for mean distance estimation. |
getMeanK
getMeanK();
setStddevMulThresh
setStddevMulThresh(stddevMult);
设置距离阈值计算的标准偏差乘数。
参数:
Name | Type | Default | 描述 |
---|---|---|---|
minPts | number | The standard deviation multiplier. |
getStddevMulThresh
getStddevMulThresh();
setNegative
getNegative
setKeepOrganized
See PassThrough.setKeepOrganized
getKeepOrganized
See PassThrough.getKeepOrganized
setUserFilterValue
See PassThrough.setUserFilterValue