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41 PointMatcher<T>::DataPointsFilter(
"MaxPointCountDataPointsFilter",
47 seed = this->
template get<size_t>(
"seed");
51 seed =
static_cast<size_t>(1);
61 inPlaceFilter(output);
69 const size_t N =
static_cast<size_t> (cloud.
features.cols() - 1);
76 for(
size_t j=0; j<maxCount; ++j)
79 const size_t idx = j +
static_cast<size_t>((N-j)*(
static_cast<float>(std::rand()/
static_cast<float>(RAND_MAX))));
82 const auto feat = cloud.
features.col(j);
92 if (cloud.
times.cols() > 0)
94 const auto time = cloud.
times.col(j);
96 cloud.
times.col(idx) = time;
virtual void inPlaceFilter(DataPoints &cloud)
Apply these filters to a point cloud without copying.
Functions and classes that are dependant on scalar type are defined in this templatized class.
virtual DataPoints filter(const DataPoints &input)
Apply filters to input point cloud. This is the non-destructive version and returns a copy.
Matrix descriptors
descriptors of points in the cloud, might be empty
An exception thrown when one tries to fetch the value of an unexisting parameter.
Matrix features
features of points in the cloud
Parametrizable::Parameters Parameters
Int64Matrix times
time associated to each points, might be empty
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)
MaxPointCountDataPointsFilter(const Parameters ¶ms=Parameters())
void conservativeResize(Index pointCount)
Resize the cloud to pointCount points, conserving existing ones.
Maximum number of points.
mp2p_icp
Author(s):
autogenerated on Wed Oct 23 2024 02:45:40