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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