public static Table3d Load(string filename)
{
using (BinaryReader bw = new BinaryReader(File.Open(filename, FileMode.Open, FileAccess.Read)))
{
int size = bw.ReadUInt16();
Table3d table = new Table3d(size);
for (int i = 0; i < size; i++)
{
for (int j = 0; j < size; j++)
{
for (int k = 0; k < size; k++)
{
Vector4d value = new Vector4d();
value.X = bw.ReadDouble();
value.Y = bw.ReadDouble();
value.Z = bw.ReadDouble();
value.W = bw.ReadDouble();
table.Table[i, j, k] = value;
}
}
}
return(table);
}
}
/// <summary>
/// Uniformly sample the LRTF into a 3D table.
/// </summary>
/// <param name="sampleCount">Number of samples in each dimension</param>
/// <returns>3D table of LRTF: [position phi, direction theta, direction phi]
/// </returns>
public Table3d SampleLrtf3D(int sampleCount)
{
Table3d table = new Table3d(sampleCount);
// position phi is always 0.0 as it is separable
Parameters inputParams = new Parameters(0, 0, 0, 0);
double step = 1 / (double)(sampleCount - 1);
for (int i = 0; i < sampleCount; i++)
{
inputParams.DirectionTheta = 0.0;
for (int j = 0; j < sampleCount; j++)
{
inputParams.DirectionPhi = 0.0;
for (int k = 0; k < sampleCount; k++)
{
table.Table[i, j, k] = ComputeLrtf(inputParams).ToVector4d();
inputParams.DirectionPhi += step;
}
inputParams.DirectionTheta += step;
}
inputParams.PositionTheta += step;
}
return(table);
}
public Table3d SampleLrtf3DCached(int sampleCount, string filename)
{
Table3d table;
if (File.Exists(filename))
{
table = Table3d.Load(filename);
}
else
{
table = SampleLrtf3D(sampleCount);
table.Save(filename);
}
return(table);
}
public static Table3d Load(string filename)
{
using (BinaryReader bw = new BinaryReader(File.Open(filename, FileMode.Open, FileAccess.Read)))
{
int size = bw.ReadUInt16();
Table3d table = new Table3d(size);
for (int i = 0; i < size; i++)
{
for (int j = 0; j < size; j++)
{
for (int k = 0; k < size; k++)
{
Vector4d value = new Vector4d();
value.X = bw.ReadDouble();
value.Y = bw.ReadDouble();
value.Z = bw.ReadDouble();
value.W = bw.ReadDouble();
table.Table[i, j, k] = value;
}
}
}
return table;
}
}
/// <summary>
/// Uniformly sample the LRTF into a 3D table.
/// </summary>
/// <param name="sampleCount">Number of samples in each dimension</param>
/// <returns>3D table of LRTF: [position phi, direction theta, direction phi]
/// </returns>
public Table3d SampleLrtf3D(int sampleCount)
{
Table3d table = new Table3d(sampleCount);
// position phi is always 0.0 as it is separable
Parameters inputParams = new Parameters(0, 0, 0, 0);
double step = 1 / (double)(sampleCount - 1);
for (int i = 0; i < sampleCount; i++)
{
inputParams.DirectionTheta = 0.0;
for (int j = 0; j < sampleCount; j++)
{
inputParams.DirectionPhi = 0.0;
for (int k = 0; k < sampleCount; k++)
{
table.Table[i, j, k] = ComputeLrtf(inputParams).ToVector4d();
inputParams.DirectionPhi += step;
}
inputParams.DirectionTheta += step;
}
inputParams.PositionTheta += step;
}
return table;
}
