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C++

/*
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*
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/*
* hypothesis.h
*
* Created on: Mar 12, 2013
* Author: papazov
*/
#pragma once
#include <pcl/recognition/ransac_based/model_library.h>
#include <pcl/recognition/ransac_based/auxiliary.h>
namespace pcl
{
namespace recognition
{
class HypothesisBase
{
public:
HypothesisBase (const ModelLibrary::Model* obj_model)
: obj_model_ (obj_model)
{}
HypothesisBase (const ModelLibrary::Model* obj_model, const float* rigid_transform)
: obj_model_ (obj_model)
{
memcpy (rigid_transform_, rigid_transform, 12*sizeof (float));
}
virtual ~HypothesisBase (){}
void
setModel (const ModelLibrary::Model* model)
{
obj_model_ = model;
}
public:
float rigid_transform_[12];
const ModelLibrary::Model* obj_model_;
};
class Hypothesis: public HypothesisBase
{
public:
Hypothesis (const ModelLibrary::Model* obj_model = nullptr)
: HypothesisBase (obj_model),
match_confidence_ (-1.0f),
linear_id_ (-1)
{
}
Hypothesis (const Hypothesis& src)
: HypothesisBase (src.obj_model_, src.rigid_transform_),
match_confidence_ (src.match_confidence_),
explained_pixels_ (src.explained_pixels_)
{
}
~Hypothesis (){}
const Hypothesis&
operator =(const Hypothesis& src)
{
memcpy (this->rigid_transform_, src.rigid_transform_, 12*sizeof (float));
this->obj_model_ = src.obj_model_;
this->match_confidence_ = src.match_confidence_;
this->explained_pixels_ = src.explained_pixels_;
return *this;
}
void
setLinearId (int id)
{
linear_id_ = id;
}
int
getLinearId () const
{
return (linear_id_);
}
void
computeBounds (float bounds[6]) const
{
const float *b = obj_model_->getBoundsOfOctreePoints ();
float p[3];
// Initialize 'bounds'
aux::transform (rigid_transform_, b[0], b[2], b[4], p);
bounds[0] = bounds[1] = p[0];
bounds[2] = bounds[3] = p[1];
bounds[4] = bounds[5] = p[2];
// Expand 'bounds' to contain the other 7 points of the octree bounding box
aux::transform (rigid_transform_, b[0], b[2], b[5], p); aux::expandBoundingBoxToContainPoint (bounds, p);
aux::transform (rigid_transform_, b[0], b[3], b[4], p); aux::expandBoundingBoxToContainPoint (bounds, p);
aux::transform (rigid_transform_, b[0], b[3], b[5], p); aux::expandBoundingBoxToContainPoint (bounds, p);
aux::transform (rigid_transform_, b[1], b[2], b[4], p); aux::expandBoundingBoxToContainPoint (bounds, p);
aux::transform (rigid_transform_, b[1], b[2], b[5], p); aux::expandBoundingBoxToContainPoint (bounds, p);
aux::transform (rigid_transform_, b[1], b[3], b[4], p); aux::expandBoundingBoxToContainPoint (bounds, p);
aux::transform (rigid_transform_, b[1], b[3], b[5], p); aux::expandBoundingBoxToContainPoint (bounds, p);
}
void
computeCenterOfMass (float center_of_mass[3]) const
{
aux::transform (rigid_transform_, obj_model_->getOctreeCenterOfMass (), center_of_mass);
}
public:
float match_confidence_;
std::set<int> explained_pixels_;
int linear_id_;
};
} // namespace recognition
} // namespace pcl