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PointDataGenerator.cpp
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//
// Created by rkindela on 27-05-18.
//
#include "PointDataGenerator.h"
#include <iostream>
#include <cstdlib>
#include <ctime>
#include "Vector3D.h"
int PointDataGenerator::randomInt(int min, int max)
{
srand((unsigned)clock()); /* Seed the */
max = max - min + 1;
return min + (rand() % max); /* Generate a random integer */
}
POINT* PointDataGenerator::randomPoint(int min, int max)
{
int x = this->randomInt(min, max);
int y = this->randomInt(min, max);
return new POINT(x, y);
}
void PointDataGenerator::randomPointCloud(int pointCount)
{
for (int i = 0; i < pointCount;i++)
{
PointRepository::instance()->add(this->randomPoint(-this->maximum, this->maximum));
}
}
void PointDataGenerator::randomPointCloudWithPercentInside(int pointCount, float percent)
{
int radius = this->maximum;
int insideAmount = (int)(percent * pointCount * 0.01);
int sizeHull = pointCount - insideAmount;
std::vector<POINT*> onhull = generateOnHullPoints(radius, sizeHull);
std::vector<POINT*> insidehull = generateInsideHullPoints(radius, insideAmount);
/***
* Distribute inside and on hull points randomly
* */
int randomSize = this->randomInt(5, 17);
int insideIter = 0;
int onHullIter = 0;
while(PointRepository::instance()->getPointCount() < pointCount)
{
if (onHullIter < sizeHull)
{
PointRepository::instance()->add( onhull[onHullIter++] );
}
else if (insideIter < insideAmount)
{
PointRepository::instance()->add( insidehull[insideIter++] );
}
}
}
std::vector<POINT*> PointDataGenerator::generateOnHullPoints(int radius, int hullSize, int dimension)
{
/**
* This method generate a point cloud with pointCount points
* with a percent of those points belonging hull
*
* we use the circunference equation for generate the hull points
*
* r = (x - a)*(x - a) + (y - b)*(y - b) + (z - c)*(z - c) and we asume the a, b, c as center of axis coords
* if any point p has distance r from de center then this point belongs o the hull
* and inside in otherwise. Note c is used only for 3 dimension
* */
Vector3D v0(POINT(radius, 0));
hullSize = (hullSize > 0) ? hullSize : 1;
/**
* Generate the hull points
* **/
std::vector<POINT*> onHullPoints;
onHullPoints.push_back(&v0.asPoint());
while(onHullPoints.size() < hullSize)
{
float radAngle = ((M_PI*2)/hullSize)*onHullPoints.size();
float cosA = cos(radAngle), sinA = sin(radAngle);
Vector3D vi = Vector3D(v0.x*cosA + v0.y*sinA, v0.x*sinA + v0.y*cosA);
onHullPoints.push_back(&vi.asPoint());
}
return onHullPoints;
}
std::vector<POINT*> PointDataGenerator::generateInsideHullPoints(int radius, int insideAmount)
{
/**
* Generate the points inside hull
*
*
* This method generate a point cloud with insideAount points
* inside convex hull
*
* we use the circunference equation for generate the hull points
*
* r = (x - a)*(x - a) + (y - b)*(y - b) and we asume the a, b as center of axis coords
* if any point p has distance r from de center then this point belongs o the hull
* and inside in otherwise
*
* **/
std::vector<POINT*> insidePoints;
POINT center(0, 0);
int factor = radius/10;
int squareRadius = (radius-factor)*(radius-factor);
while(insidePoints.size() < insideAmount)
{
POINT *p = this->randomPoint(-radius, radius);
int distance = p->squareDistance(center);
if (distance < squareRadius) // only add point inside hull
{
insidePoints.push_back(p);
}
else // delete point in otherwise
delete p;
}
return insidePoints;
}
void PointDataGenerator::randomPointCloudWithPercentOnHull(int pointCount, float percent)
{
int radius = this->maximum;
int sizeHull = (int)(percent * pointCount * 0.01);
int insideAmount = pointCount - sizeHull;
std::vector<POINT*> onhull = generateOnHullPoints(radius, sizeHull);
std::vector<POINT*> insidehull = generateInsideHullPoints(radius, insideAmount);
/***
* Distribute inside and on hull points randomly
* */
int insideIter = 0;
int onHullIter = 0;
while(PointRepository::instance()->getPointCount() < pointCount)
{
if (onHullIter < sizeHull)
{
PointRepository::instance()->add( onhull[onHullIter++] );
}
else if (insideIter < insideAmount)
{
PointRepository::instance()->add( insidehull[insideIter++] );
}
}
}
void PointDataGenerator::randomPointCloudWithPercentOn3DHull(int pointCount, float percent)
{
int radius = this->maximum;
int sizeHull = (int)(percent * pointCount * 0.01);
int insideAmount = pointCount - sizeHull;
std::vector<POINT*> onhull = generateOnHullPoints(radius, sizeHull);
std::vector<POINT*> insidehull = generateInsideHullPoints(radius, insideAmount);
/***
* Distribute inside and on hull points randomly
* */
int randomSize = this->randomInt(5, maximum);
bool* inside = new bool[randomSize]; // for distribute points
int insideIter = 0;
int onHullIter = 0;
for (int i = 0; i < randomSize; i++)
{
inside[i] = this->randomInt(1, 5) % 2 != 0;
}
while(PointRepository::instance()->getPointCount() < pointCount)
{
int idx = this->randomInt(0, randomSize-1); // we determine randomly if we need a point inside or in hull
if (inside[idx] && onHullIter < sizeHull)
{
PointRepository::instance()->add( onhull[onHullIter++] );
}
else if (insideIter < insideAmount)
{
PointRepository::instance()->add( insidehull[insideIter++] );
}
}
delete [] inside;
}
vector<int>* PointDataGenerator::getRandomPermutation(const vector<int>& pointCloud, int exceptionPoint)
{
int size = pointCloud.size()-1;
int cursor = 0;
vector<int>* permutation = new vector<int>();
while(cursor < size)
{
int realIdx;
bool valid = false;
while(!valid) {
int randomP = this->randomInt(0, size - 1);
if (randomP != exceptionPoint)
{
int i = 0, psize = permutation->size();
realIdx = pointCloud[randomP];
while (randomP == exceptionPoint || (i < psize && realIdx != (*permutation)[i++]));
valid = (i == psize);
}
}
permutation->push_back(realIdx);
++cursor;
}
return permutation;
}