Point Cloud Library (PCL)
1.7.2
|
The PCL recognition module contains algorithms used for Object Recognition applications.
Classes | |
class | pcl::CorrespondenceGrouping< PointModelT, PointSceneT > |
Abstract base class for Correspondence Grouping algorithms. More... | |
class | pcl::GeometricConsistencyGrouping< PointModelT, PointSceneT > |
Class implementing a 3D correspondence grouping enforcing geometric consistency among feature correspondences. More... | |
class | pcl::recognition::HoughSpace3D |
HoughSpace3D is a 3D voting space. More... | |
class | pcl::Hough3DGrouping< PointModelT, PointSceneT, PointModelRfT, PointSceneRfT > |
Class implementing a 3D correspondence grouping algorithm that can deal with multiple instances of a model template found into a given scene. More... | |
class | pcl::CRHAlignment< PointT, nbins_ > |
CRHAlignment uses two Camera Roll Histograms (CRH) to find the roll rotation that aligns both views. More... | |
class | pcl::recognition::ObjRecRANSAC |
This is a RANSAC-based 3D object recognition method. More... | |
class | pcl::recognition::ObjRecRANSAC::Output |
This is an output item of the ObjRecRANSAC::recognize() method. More... | |
class | pcl::recognition::ObjRecRANSAC::OrientedPointPair |
class | pcl::recognition::ObjRecRANSAC::HypothesisCreator |
class | pcl::recognition::ORROctree |
That's a very specialized and simple octree class. More... | |
class | pcl::recognition::ORROctree::Node |
class | pcl::recognition::ORROctree::Node::Data |
class | pcl::recognition::RotationSpace |
This is a class for a discrete representation of the rotation space based on the axis-angle representation. More... | |
|
protected |
Enumerator | |
---|---|
SAMPLE_OPP | |
TEST_HYPOTHESES | |
FULL_RECOGNITION |
Definition at line 326 of file obj_rec_ransac.h.