Files
AutoMorpherDecompiled/Assets/@Eden_Tools/Eden_AutoMorpher/Script/PcaUtil.cs

214 lines
8.5 KiB
C#

// Warning: Some assembly references could not be resolved automatically. This might lead to incorrect decompilation of some parts,
// for ex. property getter/setter access. To get optimal decompilation results, please manually add the missing references to the list of loaded assemblies.
// EdenAutoMorpherScript, Version=0.0.0.0, Culture=neutral, PublicKeyToken=null
// Eden.AutoMorpher.PcaUtil
using System.Collections.Generic;
using Eden.AutoMorpher;
using UnityEngine;
public class PcaUtil
{
public RegionStats ComputeRegionStats(IList<Vector3> points)
{
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RegionStats result = default(RegionStats);
if (points == null || points.Count == 0)
{
return result;
}
int count = points.Count;
Vector3 val = Vector3.zero;
for (int i = 0; i < count; i++)
{
val += points[i];
}
val /= (float)count;
float num = 0f;
float num2 = 0f;
float num3 = 0f;
float num4 = 0f;
float num5 = 0f;
float num6 = 0f;
for (int j = 0; j < count; j++)
{
Vector3 val2 = points[j] - val;
num += val2.x * val2.x;
num2 += val2.x * val2.y;
num3 += val2.x * val2.z;
num4 += val2.y * val2.y;
num5 += val2.y * val2.z;
num6 += val2.z * val2.z;
}
float num7 = 1f / (float)count;
num *= num7;
num2 *= num7;
num3 *= num7;
num4 *= num7;
num5 *= num7;
num6 *= num7;
JacobiEigenDecomposition3x3(num, num2, num3, num4, num5, num6, out var eigenValues, out var eigenVectors);
int num8 = 0;
if (eigenValues[1] > eigenValues[num8])
{
num8 = 1;
}
if (eigenValues[2] > eigenValues[num8])
{
num8 = 2;
}
Vector3 normalized = ((Vector3)(ref eigenVectors[num8])).normalized;
float num9 = float.PositiveInfinity;
float num10 = float.NegativeInfinity;
float num11 = 0f;
for (int k = 0; k < count; k++)
{
float num12 = Vector3.Dot(points[k] - val, normalized);
if (num12 < num9)
{
num9 = num12;
}
if (num12 > num10)
{
num10 = num12;
}
Vector3 val3 = val + normalized * num12;
Vector3 val4 = points[k] - val3;
float magnitude = ((Vector3)(ref val4)).magnitude;
num11 += magnitude;
}
result.center = val;
result.principalAxis = normalized;
result.length = num10 - num9;
result.avgRadius = num11 / (float)count;
return result;
}
private void JacobiEigenDecomposition3x3(float c00, float c01, float c02, float c11, float c12, float c22, out float[] eigenValues, out Vector3[] eigenVectors)
{
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float[,] array = new float[3, 3]
{
{ c00, c01, c02 },
{ c01, c11, c12 },
{ c02, c12, c22 }
};
float[,] array2 = new float[3, 3]
{
{ 1f, 0f, 0f },
{ 0f, 1f, 0f },
{ 0f, 0f, 1f }
};
for (int i = 0; i < 32; i++)
{
int num = 0;
int num2 = 1;
float num3 = Mathf.Abs(array[0, 1]);
float num4 = Mathf.Abs(array[0, 2]);
if (num4 > num3)
{
num3 = num4;
num = 0;
num2 = 2;
}
float num5 = Mathf.Abs(array[1, 2]);
if (num5 > num3)
{
num3 = num5;
num = 1;
num2 = 2;
}
if (num3 < 1E-10f)
{
break;
}
float num6 = array[num, num];
float num7 = array[num2, num2];
float num8 = array[num, num2];
float num9 = 0.5f * Mathf.Atan2(2f * num8, num7 - num6);
float num10 = Mathf.Cos(num9);
float num11 = Mathf.Sin(num9);
for (int j = 0; j < 3; j++)
{
if (j != num && j != num2)
{
float num12 = array[j, num];
float num13 = array[j, num2];
array[j, num] = num10 * num12 - num11 * num13;
array[num, j] = array[j, num];
array[j, num2] = num11 * num12 + num10 * num13;
array[num2, j] = array[j, num2];
}
}
float num14 = num10 * num10 * num6 - 2f * num11 * num10 * num8 + num11 * num11 * num7;
float num15 = num11 * num11 * num6 + 2f * num11 * num10 * num8 + num10 * num10 * num7;
array[num, num] = num14;
array[num2, num2] = num15;
array[num, num2] = 0f;
array[num2, num] = 0f;
for (int k = 0; k < 3; k++)
{
float num16 = array2[k, num];
float num17 = array2[k, num2];
array2[k, num] = num10 * num16 - num11 * num17;
array2[k, num2] = num11 * num16 + num10 * num17;
}
}
eigenValues = new float[3];
eigenVectors = (Vector3[])(object)new Vector3[3];
eigenValues[0] = array[0, 0];
eigenValues[1] = array[1, 1];
eigenValues[2] = array[2, 2];
eigenVectors[0] = new Vector3(array2[0, 0], array2[1, 0], array2[2, 0]);
eigenVectors[1] = new Vector3(array2[0, 1], array2[1, 1], array2[2, 1]);
eigenVectors[2] = new Vector3(array2[0, 2], array2[1, 2], array2[2, 2]);
}
}