source: GTP/trunk/App/Demos/Vis/FriendlyCulling/src/SampleGenerator.cpp @ 2853

#include "common.h"
#include "SampleGenerator.h"
#include "Halton.h"

using namespace std;

//SampleGenerator::SampleGenerator() {}

SampleGenerator::SampleGenerator(int numSamples, float radius):
mNumSamples(numSamples), mRadius(radius)
{}


PoissonDiscSampleGenerator::PoissonDiscSampleGenerator(int numSamples, float radius):
SampleGenerator(numSamples, radius)
{}


void PoissonDiscSampleGenerator::Generate(Sample2 *samples) const
{
        static HaltonSequence halton;
        float r[2];

        // generates poisson distribution on disc
        float minDist = 2.0f / sqrt((float)mNumSamples);

        //cout << "minDist before= " << minDist << endl;

        for (int i = 0; i < mNumSamples; ++ i)
        {
                int tries = 0, totalTries = 0;

                // repeat until valid sample was found
                while (1)
                {
                        ++ tries;
                        ++ totalTries;

                        halton.GetNext(2, r);

                        const float rx = r[0] * 2.0f - 1.0f;
                        const float ry = r[1] * 2.0f - 1.0f;

                        // check if in disk, else exit early
                        if (rx * rx + ry * ry > 1)
                                continue;

                        bool sampleValid = true;

                        // check poisson property
                        for (int j = 0; ((j < i) && sampleValid); ++ j)
                        {
                                const float dist = 
                                        sqrt((samples[j].x - rx) * (samples[j].x - rx) +
                                             (samples[j].y - ry) * (samples[j].y - ry));
                        
                                if (dist < minDist)
                                        sampleValid = false;
                        }

                        if (sampleValid)
                        {
                                samples[i].x = rx;
                                samples[i].y = ry;
                                break;
                        }

                        if (tries > 2000)
                        {
                                minDist *= 0.9f;
                                tries = 0;
                        }
                }
                
                //cout << "sample: " << samples[i].x << " " << i << " " << samples[i].y << " r: " << sqrt(samples[i].x * samples[i].x  + samples[i].y * samples[i].y) << " tries: " << totalTries << endl;
        }

        //cout << "minDist after= " << minDist << endl;
}