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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:

NameTypeDefault描述
pointTypePointTypePointXYZThe point cloud type.
extractRemovedIndicesbooleanfalseInitializing 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:

NameTypeDefault描述
nrKnumberThe 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:

NameTypeDefault描述
minPtsnumberThe standard deviation multiplier.

getStddevMulThresh​

getStddevMulThresh();

setNegative​

See PassThrough.setNegative

getNegative​

See PassThrough.getNegative

setKeepOrganized​

See PassThrough.setKeepOrganized

getKeepOrganized​

See PassThrough.getKeepOrganized

setUserFilterValue​

See PassThrough.setUserFilterValue

setInputCloud​

See PassThrough.setInputCloud

getInputCloud​

See PassThrough.getInputCloud

filter​

See PassThrough.filter