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55 inPlaceFilter(output);
69 (boost::format(
"DistanceLimitDataPointsFilter: Error, filtering on dimension number %1%, larger than authorized axis id %2%") %
dim % (cloud.
features.rows() - 2)).str());
72 const int nbPointsIn = cloud.
features.cols();
73 const int nbRows = cloud.
features.rows();
79 for(
int i = 0; i < nbPointsIn; ++i)
83 if(cloud.
features.col(i).head(nbRows-1).norm() > absMaxDist)
91 if(cloud.
features.col(i).head(nbRows-1).norm() < absMaxDist)
101 for(
int i = 0; i < nbPointsIn; ++i)
DistanceLimitDataPointsFilter(const Parameters ¶ms=Parameters())
Constructor, uses parameter interface.
virtual void inPlaceFilter(DataPoints &cloud)
Apply these filters to a point cloud without copying.
PM::DataPointsFilter DataPointsFilter
Subsampling. Filter points based on distance measured on a specific axis.
virtual DataPoints filter(const DataPoints &input)
Apply filters to input point cloud. This is the non-destructive version and returns a copy.
Functions and classes that are dependant on scalar type are defined in this templatized class.
void setColFrom(Index thisCol, const DataPoints &that, Index thatCol)
Set column thisCol equal to column thatCol of that, copy features and descriptors if any....
Parametrizable::InvalidParameter InvalidParameter
Matrix features
features of points in the cloud
The superclass of classes that are constructed using generic parameters. This class provides the para...
const M::mapped_type & get(const M &m, const typename M::key_type &k)
Parametrizable::Parameters Parameters
void conservativeResize(Index pointCount)
Resize the cloud to pointCount points, conserving existing ones.
static T anyabs(const T &v)
Functions and classes that are not dependant on scalar type are defined in this namespace.