86 lines
3.7 KiB
XML
86 lines
3.7 KiB
XML
|
<!-- PCL Features library component -->
|
||
|
|
<library path="lib/libpcl_ros_features">
|
||
|
|
<class name="pcl/BoundaryEstimation" type="BoundaryEstimation" base_class_type="nodelet::Nodelet">
|
||
|
|
<description>
|
||
|
|
BoundaryEstimation estimates whether a set of points is lying on surface boundaries using an angle criterion. The
|
||
|
|
code makes use of the estimated surface normals at each point in the input data set.
|
||
|
|
</description>
|
||
|
|
</class>
|
||
|
|
|
||
|
|
<class name="pcl/FPFHEstimation" type="FPFHEstimation" base_class_type="nodelet::Nodelet">
|
||
|
|
<description>
|
||
|
|
FPFHEstimation estimates the Fast Point Feature Histogram (FPFH) descriptor for a given point cloud dataset
|
||
|
|
containing points and normals.
|
||
|
|
</description>
|
||
|
|
</class>
|
||
|
|
|
||
|
|
<class name="pcl/FPFHEstimationOMP" type="FPFHEstimationOMP" base_class_type="nodelet::Nodelet">
|
||
|
|
<description>
|
||
|
|
FPFHEstimationOMP estimates the Fast Point Feature Histogram (FPFH) descriptor for a given point cloud dataset
|
||
|
|
containing points and normals, in parallel, using the OpenMP standard.
|
||
|
|
</description>
|
||
|
|
</class>
|
||
|
|
|
||
|
|
<class name="pcl/SHOTEstimation" type="SHOTEstimation" base_class_type="nodelet::Nodelet">
|
||
|
|
<description>
|
||
|
|
SHOTEstimation estimates SHOT descriptor for a given point cloud dataset
|
||
|
|
containing points and normals.
|
||
|
|
</description>
|
||
|
|
</class>
|
||
|
|
|
||
|
|
<class name="pcl/SHOTEstimationOMP" type="SHOTEstimationOMP" base_class_type="nodelet::Nodelet">
|
||
|
|
<description>
|
||
|
|
SHOTEstimationOMP estimates SHOT descriptor for a given point cloud dataset
|
||
|
|
containing points and normals, in parallel, using the OpenMP standard.
|
||
|
|
</description>
|
||
|
|
</class>
|
||
|
|
|
||
|
|
<class name="pcl/MomentInvariantsEstimation" type="MomentInvariantsEstimation" base_class_type="nodelet::Nodelet">
|
||
|
|
<description>
|
||
|
|
MomentInvariantsEstimation estimates the 3 moment invariants (j1, j2, j3) at each 3D point.
|
||
|
|
</description>
|
||
|
|
</class>
|
||
|
|
|
||
|
|
<class name="pcl/NormalEstimationOMP" type="NormalEstimationOMP" base_class_type="nodelet::Nodelet">
|
||
|
|
<description>
|
||
|
|
NormalEstimationOMP estimates local surface properties at each 3D point, such as surface normals and curvatures,
|
||
|
|
in parallel, using the OpenMP standard.
|
||
|
|
</description>
|
||
|
|
</class>
|
||
|
|
|
||
|
|
<class name="pcl/NormalEstimationTBB" type="NormalEstimationTBB" base_class_type="nodelet::Nodelet">
|
||
|
|
<description>
|
||
|
|
NormalEstimationTBB estimates local surface properties at each 3D point, such as surface normals and curvatures, in
|
||
|
|
parallel, using Intel's Threading Building Blocks library.
|
||
|
|
</description>
|
||
|
|
</class>
|
||
|
|
|
||
|
|
<class name="pcl/NormalEstimation" type="NormalEstimation" base_class_type="nodelet::Nodelet">
|
||
|
|
<description>
|
||
|
|
NormalEstimation estimates local surface properties at each 3D point, such as surface normals and curvatures.
|
||
|
|
</description>
|
||
|
|
</class>
|
||
|
|
|
||
|
|
<class name="pcl/PFHEstimation" type="PFHEstimation" base_class_type="nodelet::Nodelet">
|
||
|
|
<description>
|
||
|
|
PFHEstimation estimates the Point Feature Histogram (PFH) descriptor for a given point cloud dataset containing
|
||
|
|
points and normals.
|
||
|
|
</description>
|
||
|
|
</class>
|
||
|
|
|
||
|
|
<class name="pcl/PrincipalCurvaturesEstimation" type="PrincipalCurvaturesEstimation" base_class_type="nodelet::Nodelet">
|
||
|
|
<description>
|
||
|
|
PrincipalCurvaturesEstimation estimates the directions (eigenvectors) and magnitudes (eigenvalues) of principal surface
|
||
|
|
curvatures for a given point cloud dataset containing points and normals.
|
||
|
|
</description>
|
||
|
|
</class>
|
||
|
|
|
||
|
|
<class name="pcl/VFHEstimation" type="VFHEstimation" base_class_type="nodelet::Nodelet">
|
||
|
|
<description>
|
||
|
|
VFHEstimation estimates the Viewpoint Feature Histogram (VFH) global descriptor for a given point cloud cluster dataset
|
||
|
|
containing points and normals.
|
||
|
|
</description>
|
||
|
|
</class>
|
||
|
|
|
||
|
|
</library>
|