vplIntegrator::vplIntegrator(const Parms& parms)
: lightSampleID(-1), firstScatterSampleID(-1), firstScatterTypeSampleID(-1)
{
maxDepth = parms.getInt ("maxDepth" ,10 );
minContribution = parms.getFloat("minContribution",0.01f );
epsilon = parms.getFloat("epsilon" ,32.0f)*float(ulp);
backplate = parms.getImage("backplate");
}
PathTraceIntegrator::PathTraceIntegrator(const Parms& parms)
: lightSampleID(-1), firstScatterSampleID(-1), firstScatterTypeSampleID(-1), sampleLightForGlossy(false)
{
maxDepth = parms.getInt ("maxDepth" ,10 );
minContribution = parms.getFloat("minContribution",0.01f );
epsilon = parms.getFloat("epsilon" ,32.0f)*float(ulp);
backplate = parms.getImage("backplate");
sampleLightForGlossy = parms.getInt ("sampleLightForGlossy",0);
}
HDRILight::HDRILight(const Parms& parms)
: width(0), height(0), pixels(null)
{
local2world = parms.getTransform("local2world",one);
world2local = rcp(local2world);
L = parms.getColor("L",one);
pixels = parms.getImage("image");
if (pixels == null) pixels = new Image3f(5,5,one);
width = (unsigned) pixels->width;
height = (unsigned) pixels->height;
Array2D<float> importance(height,width);
for (size_t y = 0; y < height; y++)
for (size_t x = 0; x < width; x++)
importance.set(y, x, sinf(float(pi)*(y+0.5f)*rcp(float(height))) * reduce_add(pixels->get(x,y)));
distribution = new Distribution2D(importance,width,height);
}