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create/src/Mod/ReverseEngineering/App/Segmentation.h
2016-03-09 14:46:19 +01:00

84 lines
3.1 KiB
C++

/***************************************************************************
* Copyright (c) 2016 Werner Mayer <wmayer[at]users.sourceforge.net> *
* *
* This file is part of the FreeCAD CAx development system. *
* *
* This library is free software; you can redistribute it and/or *
* modify it under the terms of the GNU Library General Public *
* License as published by the Free Software Foundation; either *
* version 2 of the License, or (at your option) any later version. *
* *
* This library is distributed in the hope that it will be useful, *
* but WITHOUT ANY WARRANTY; without even the implied warranty of *
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the *
* GNU Library General Public License for more details. *
* *
* You should have received a copy of the GNU Library General Public *
* License along with this library; see the file COPYING.LIB. If not, *
* write to the Free Software Foundation, Inc., 59 Temple Place, *
* Suite 330, Boston, MA 02111-1307, USA *
* *
***************************************************************************/
#ifndef REEN_SEGMENTATION_H
#define REEN_SEGMENTATION_H
#include <Base/Vector3D.h>
#include <vector>
#include <list>
namespace Points {class PointKernel;}
namespace Reen {
class Segmentation
{
public:
Segmentation(const Points::PointKernel&, std::list<std::vector<int> >& clusters);
/** \brief Set the number of k nearest neighbors to use for the normal estimation.
* \param[in] k the number of k-nearest neighbors
*/
void perform(int ksearch);
private:
const Points::PointKernel& myPoints;
std::list<std::vector<int> >& myClusters;
};
class NormalEstimation
{
public:
NormalEstimation(const Points::PointKernel&);
/** \brief Set the number of k nearest neighbors to use for the feature estimation.
* \param[in] k the number of k-nearest neighbors
*/
inline void
setKSearch (int k) { kSearch = k; }
/** \brief Set the sphere radius that is to be used for determining the nearest neighbors used for the feature
* estimation.
* \param[in] radius the sphere radius used as the maximum distance to consider a point a neighbor
*/
inline void
setSearchRadius (double radius)
{
searchRadius = radius;
}
/** \brief Perform the normal estimation.
* \param[out] the estimated normals
*/
void perform(std::vector<Base::Vector3d>& normals);
private:
const Points::PointKernel& myPoints;
int kSearch;
double searchRadius;
};
} // namespace Reen
#endif // REEN_SEGMENTATION_H