23 namespace registration {
78 bool mutual_filter =
false,
79 float mutual_consistency_ratio = 0.1);
Base class for KDTree search parameters.
Definition: KDTreeSearchParam.h:16
KDTree search parameters for pure KNN search.
Definition: KDTreeSearchParam.h:44
A point cloud consists of point coordinates, and optionally point colors and point normals.
Definition: PointCloud.h:36
Class to store featrues for registration.
Definition: Feature.h:30
size_t Num() const
Returns number of points.
Definition: Feature.h:43
Eigen::MatrixXd data_
Data buffer storing features.
Definition: Feature.h:47
size_t Dimension() const
Returns feature dimensions per point.
Definition: Feature.h:41
void Resize(int dim, int n)
Definition: Feature.h:36
CorrespondenceSet CorrespondencesFromFeatures(const Feature &source_features, const Feature &target_features, bool mutual_filter, float mutual_consistent_ratio)
Function to find correspondences via 1-nearest neighbor feature matching. Target is used to construct...
Definition: Feature.cpp:142
std::shared_ptr< Feature > ComputeFPFHFeature(const geometry::PointCloud &input, const geometry::KDTreeSearchParam &search_param)
Definition: Feature.cpp:94
std::vector< Eigen::Vector2i > CorrespondenceSet
Definition: Feature.h:25
Definition: PinholeCameraIntrinsic.cpp:16