3dpcp/.svn/pristine/68/688d44b78f3e8319d07aa174a4cd5a7682d8712a.svn-base
2012-09-16 14:33:11 +02:00

55 lines
1.5 KiB
Text

#ifndef __RANSAC_H__
#define __RANSAC_H__
#include "shape.h"
#include "slam6d/scan.h"
#include "shapes/ransac_Boctree.h"
// TODO implement some parameters to modify ransac (maybe in CollisionShape?)
template <class T>
void Ransac(CollisionShape<T> &shape, Scan *scan, vector<T*> *best_points = 0) {
int best_score = 0;
CollisionShape<T> *best = shape.copy();
// stores 3 sample points
vector<T *> ps;
// create octree from the points
DataXYZ xyz(scan->get("xyz reduced"));
RansacOctTree<T> *oct = new RansacOctTree<T>(PointerArray<double>(xyz).get(), xyz.size(), 50.0 );
cout << "start 5000 iterations" << endl;
for(int i = 0; i < 5000; i++) {
ps.clear();
// randomly select points from the octree
oct->DrawPoints(ps, shape.getNrPoints());
// compute shape parameters from points
if ( shape.hypothesize(ps) ) {
// count number of points on the shape
int r = oct->PointsOnShape(shape);
if (r > best_score) {
if (best) delete best;
// remember this best fitted shape
best_score = r;
best = shape.copy();
}
}
}
cout << "5000 iterations done" << endl;
if (best_points) {
best_points->clear();
oct->PointsOnShape(*best, *best_points);
cout << "Nr points before refinement " << best_points->size() << endl;
best->refine(best_points);
best_points->clear();
oct->PointsOnShape(*best, *best_points);
cout << "Nr points after refinement " << best_points->size() << endl;
}
shape = *best;
delete best;
delete oct;
}
#endif