/// <summary>
/// Barycentric Parameterization
/// Covers barycentric methods which need a fully defined boundary
/// A particular method can be chosen by creating an appropriate Laplacian matrix
/// See also (Floater 2003)
/// </summary>
/// <param name="meshin">input mesh, after solving its texture coordinates in vertex traits will be adjusted</param>
/// <param name="meshout">an flattened output mesh with only X,Y coordinates set, Z is set to 0</param>
private void BarycentricMapping(TriangleMesh meshin, out TriangleMesh meshout)
{
/// init an mesh that serves for output of the 2d parametrized mesh
meshout = meshin.Copy();
//meshOut = meshIn;
/// get lenghts
var vertexCount = meshout.Vertices.Count;
var boundaryVertices = meshout.Vertices.Where(x => x.OnBoundary).ToList();
/// right hand side (RHS)
var bu = new double[vertexCount];
var bv = new double[vertexCount];
var b0 = new double[vertexCount];
// TODO : For geometry images, L mapped edges require splitting. Adaptive length parameterization should be sufficient for crack prediction however
FixBoundaryToShape(boundaryVertices, bu, bv);
var laplacian = MeshLaplacian.SelectedLaplacian == MeshLaplacian.Type.Harmonic ?
MeshLaplacian.CreateBoundedHarmonicLaplacian(meshin, 1d, 0d, true) :
MeshLaplacian.SelectedLaplacian == MeshLaplacian.Type.MeanValue ?
MeshLaplacian.CreateBoundedMeanLaplacian(meshin, 1d, 0d, true) :
MeshLaplacian.CreateBoundedUniformLaplacian(meshin, 1d, 0d, true);
var qrSolver = QR.Create(laplacian.Compress());
var success = qrSolver.Solve(bu) && qrSolver.Solve(bv);
/// update mesh positions
MeshLaplacian.UpdateMesh(meshout, bu, bv, b0, bu, bv);
MeshLaplacian.UpdateMesh(meshin, bu, bv);
}
/// <summary>
/// Computes the QR decomposition for a matrix.
/// </summary>
/// <param name="matrix">The matrix to factor.</param>
/// <returns>The QR decomposition object.</returns>
public static QR QR(this Matrix <double> matrix)
{
return((QR)QR <double> .Create(matrix));
}
/// <summary>
/// Computes the QR decomposition for a matrix.
/// </summary>
/// <param name="matrix">The matrix to factor.</param>
/// <param name="method">The type of QR factorization to perform.</param>
/// <returns>The QR decomposition object.</returns>
public static QR QR(this Matrix <Complex> matrix, QRMethod method = QRMethod.Full)
{
return((QR)QR <Complex> .Create(matrix, method));
}
/// <summary>
/// The Direct Conformal Parameterization (DCP) method, see (Desbrun et al. 2002)
/// </summary>
/// <param name="meshin"></param>
/// <param name="meshout"></param>
private void DCP(TriangleMesh meshin, out TriangleMesh meshout)
{
MeshLaplacian.PrecomputeTraits(meshin);
/// copy the mesh
meshout = meshin.Copy();
/// counters
var vertexCount = meshout.Vertices.Count;
/// output uv-coordinates
var bu = new double[vertexCount];
var bv = new double[vertexCount];
var b0 = new double[vertexCount];
// A * x = b
var x = new double[vertexCount * 2 + 4];
var M_A = new TripletMatrix(2 * (vertexCount + 2), 2 * vertexCount, 4 * (vertexCount + 1) * vertexCount);
var M_X = new TripletMatrix(2 * (vertexCount + 2), 2 * vertexCount, 4 * (vertexCount + 1) * vertexCount);
foreach (var vertex in meshin.Vertices.Where(v => !v.OnBoundary))
{
var angleWeightSum = 0d;
var areaWeightSum = 0d;
foreach (var halfEdge in vertex.Halfedges)
{
// cot(alpha) + cot(beta)
var angleWeight = halfEdge.Previous.Traits.Cotan + halfEdge.Opposite.Previous.Traits.Cotan;
// cot(gamma) + cot(delta)
var areaWeight = (halfEdge.Next.Traits.Cotan + halfEdge.Opposite.Traits.Cotan);
areaWeight /= (halfEdge.FromVertex.Traits.Position - halfEdge.ToVertex.Traits.Position).LengthSquared();
M_A.Entry(vertex.Index * 2, halfEdge.ToVertex.Index * 2, angleWeight);
M_A.Entry(vertex.Index * 2 + 1, halfEdge.ToVertex.Index * 2 + 1, angleWeight);
M_X.Entry(vertex.Index * 2, halfEdge.ToVertex.Index * 2, areaWeight);
M_X.Entry(vertex.Index * 2 + 1, halfEdge.ToVertex.Index * 2 + 1, areaWeight);
angleWeightSum += angleWeight;
areaWeightSum += areaWeight;
}
M_A.Entry(vertex.Index * 2, vertex.Index * 2, -angleWeightSum);
M_A.Entry(vertex.Index * 2 + 1, vertex.Index * 2 + 1, -angleWeightSum);
M_X.Entry(vertex.Index * 2, vertex.Index * 2, -areaWeightSum);
M_X.Entry(vertex.Index * 2 + 1, vertex.Index * 2 + 1, -areaWeightSum);
}
// Free boundary
foreach (var vertex in meshin.Vertices.Where(v => v.OnBoundary))
{
var weightSum = 0d;
// Inner edges
foreach (var halfEdge in vertex.Halfedges.Where(he => !he.Edge.OnBoundary))
{
// cot(alpha) + cot(beta)
var borderWeight = halfEdge.Previous.Traits.Cotan + halfEdge.Opposite.Previous.Traits.Cotan;
M_A.Entry(vertex.Index * 2, halfEdge.ToVertex.Index * 2, -borderWeight);
M_A.Entry(vertex.Index * 2 + 1, halfEdge.ToVertex.Index * 2 + 1, -borderWeight);
M_X.Entry(vertex.Index * 2, halfEdge.ToVertex.Index * 2, -borderWeight);
M_X.Entry(vertex.Index * 2 + 1, halfEdge.ToVertex.Index * 2 + 1, -borderWeight);
weightSum += borderWeight;
}
// Boundary edges
foreach (var halfEdge in vertex.Halfedges.Where(he => he.Edge.OnBoundary))
{
// Last edge
if (halfEdge.OnBoundary)
{
var borderWeight = halfEdge.Opposite.Previous.Traits.Cotan;
// Weight edge by cotan once and substract the rotated uv vector
M_A.Entry(vertex.Index * 2, halfEdge.ToVertex.Index * 2, -borderWeight);
M_A.Entry(vertex.Index * 2, halfEdge.ToVertex.Index * 2 + 1, -1);
M_A.Entry(vertex.Index * 2 + 1, halfEdge.ToVertex.Index * 2 + 1, -borderWeight);
M_A.Entry(vertex.Index * 2 + 1, halfEdge.ToVertex.Index * 2, 1);
M_X.Entry(vertex.Index * 2, halfEdge.ToVertex.Index * 2, -borderWeight);
M_X.Entry(vertex.Index * 2, halfEdge.ToVertex.Index * 2 + 1, -1);
M_X.Entry(vertex.Index * 2 + 1, halfEdge.ToVertex.Index * 2 + 1, -borderWeight);
M_X.Entry(vertex.Index * 2 + 1, halfEdge.ToVertex.Index * 2, 1);
weightSum += borderWeight;
}
// First edge
else
{
// cot(alpha) + cot(beta)
var borderWeight = halfEdge.Previous.Traits.Cotan;
// Weight edge by cotan once and substract the rotated uv vector
M_A.Entry(vertex.Index * 2, halfEdge.ToVertex.Index * 2, -borderWeight);
M_A.Entry(vertex.Index * 2, halfEdge.ToVertex.Index * 2 + 1, 1);
M_A.Entry(vertex.Index * 2 + 1, halfEdge.ToVertex.Index * 2 + 1, -borderWeight);
M_A.Entry(vertex.Index * 2 + 1, halfEdge.ToVertex.Index * 2, -1);
M_X.Entry(vertex.Index * 2, halfEdge.ToVertex.Index * 2, -borderWeight);
M_X.Entry(vertex.Index * 2, halfEdge.ToVertex.Index * 2 + 1, 1);
M_X.Entry(vertex.Index * 2 + 1, halfEdge.ToVertex.Index * 2 + 1, -borderWeight);
M_X.Entry(vertex.Index * 2 + 1, halfEdge.ToVertex.Index * 2, -1);
weightSum += borderWeight;
}
}
M_A.Entry(vertex.Index * 2, vertex.Index * 2, weightSum);
M_A.Entry(vertex.Index * 2 + 1, vertex.Index * 2 + 1, weightSum);
M_X.Entry(vertex.Index * 2, vertex.Index * 2, weightSum);
M_X.Entry(vertex.Index * 2 + 1, vertex.Index * 2 + 1, weightSum);
}
// Fixed vertices
// M^n
M_A.Entry(2 * vertexCount, 2 * P1Index, 1);
M_A.Entry(2 * vertexCount + 1, 2 * P1Index + 1, 1);
M_X.Entry(2 * vertexCount, 2 * P1Index, 1);
M_X.Entry(2 * vertexCount + 1, 2 * P1Index + 1, 1);
M_A.Entry(2 * vertexCount + 2, 2 * P2Index, 1);
M_A.Entry(2 * vertexCount + 3, 2 * P2Index + 1, 1);
M_X.Entry(2 * vertexCount + 2, 2 * P2Index, 1);
M_X.Entry(2 * vertexCount + 3, 2 * P2Index + 1, 1);
// M^n transp
M_A.Entry(2 * P1Index, 2 * vertexCount, 1);
M_A.Entry(2 * P1Index + 1, 2 * vertexCount + 1, 1);
M_X.Entry(2 * P1Index, 2 * vertexCount, 1);
M_X.Entry(2 * P1Index + 1, 2 * vertexCount + 1, 1);
M_A.Entry(2 * P2Index, 2 * vertexCount + 2, 1);
M_A.Entry(2 * P2Index + 1, 2 * vertexCount + 3, 1);
M_X.Entry(2 * P2Index, 2 * vertexCount + 2, 1);
M_X.Entry(2 * P2Index + 1, 2 * vertexCount + 3, 1);
// b^n
x[2 * vertexCount] = P1UV.X;
x[2 * vertexCount + 1] = P1UV.Y;
x[2 * vertexCount + 2] = P2UV.X;
x[2 * vertexCount + 3] = P2UV.Y;
var matrix = SparseMatrix.Add(M_A.Compress(), M_X.Compress(), AngleToAreaRatio, 1 - AngleToAreaRatio);
var solver = QR.Create(matrix);
solver.Solve(x);
for (var vertexIndex = 0; vertexIndex < vertexCount; vertexIndex++)
{
bu[vertexIndex] = x[2 * vertexIndex];
bv[vertexIndex] = x[2 * vertexIndex + 1];
}
/// update mesh positions and uv's
MeshLaplacian.UpdateMesh(meshout, bu, bv, b0, bu, bv);
MeshLaplacian.UpdateMesh(meshin, bu, bv);
}
/// <summary>
/// The Least-Squares Conformal Mapping method, see (Levy et al. 2002)
/// Performs linear mapping with free boundary
/// </summary>
/// <param name="meshIn">input mesh, after solving its texture coordinates in vertex traits will be adjusted</param>
/// <param name="meshOut">an flattened output mesh with only X,Y coordinates set, Z is set to 0</param>
private void LSCM(TriangleMesh meshin, out TriangleMesh meshout)
{
/// copy mesh for output
meshout = meshin.Copy();
/// provide uv's for fixed 2 points
var b = new double[]
{
this.P1UV.X, this.P1UV.Y, // u1,v1
this.P2UV.X, this.P2UV.Y, // u2,v2
};
/// get counts
int n = meshout.Vertices.Count;
int m = meshout.Faces.Count;
/// output uv-coordinates
var bu = new double[n];
var bv = new double[n];
var b0 = new double[n];
var A1 = new TripletMatrix(2 * m, 2 * n - 4, 6 * 2 * m);
var A2 = new TripletMatrix(2 * m, 4, 4 * 2 * m);
foreach (var face in meshin.Faces)
{
var v1_global = face.Vertices.ElementAt(0).Traits.Position;
var v2_global = face.Vertices.ElementAt(1).Traits.Position;
var v3_global = face.Vertices.ElementAt(2).Traits.Position;
var xDir = v2_global - v1_global;
var skewedZDir = v3_global - v1_global;
var yDir = Vector3.Cross(xDir, skewedZDir);
xDir.Normalize();
yDir.Normalize();
var zDir = Vector3.Cross(yDir, xDir);
var transform = new Matrix(new[]
{
xDir.X, xDir.Y, xDir.Z, 0,
yDir.X, yDir.Y, yDir.Z, 0,
zDir.X, zDir.Y, zDir.Z, 0,
0, 0, 0, 1,
});
transform.Transpose();
var v1 = Vector3.Transform(v1_global, transform);
var v2 = Vector3.Transform(v2_global, transform);
var v3 = Vector3.Transform(v3_global, transform);
var areaTriangle =
((double)v1.X * v2.Z - (double)v1.Z * v2.X) +
((double)v2.X * v3.Z - (double)v2.Z * v3.X) +
((double)v3.X * v1.Z - (double)v3.Z * v1.X);
var mImaginary = new Vector3(v3.Z - v2.Z, v1.Z - v3.Z, v2.Z - v1.Z) * (float)(1d / areaTriangle);
var mReal = new Vector3(v3.X - v2.X, v1.X - v3.X, v2.X - v1.X) * (float)(1d / areaTriangle);
var subIndex = 0;
// Expected x layout : u1 v1 u2 v2...ui vi ui+2 vi+2...uj vj uj+2 vj+2...un vn
foreach (var vertex in face.Vertices)
{
if (vertex.Index == P1Index || vertex.Index == P2Index)
{
var entryIndex = vertex.Index == P1Index ? 0 : 1;
// -R*MT * u (dx,dy)
A2.Entry(2 * face.Index, 2 * entryIndex, -mReal[subIndex]);
A2.Entry(2 * face.Index + 1, 2 * entryIndex, -mImaginary[subIndex]);
// MT * v (dx,dy)
A2.Entry(2 * face.Index, 2 * entryIndex + 1, mImaginary[subIndex]);
A2.Entry(2 * face.Index + 1, 2 * entryIndex + 1, -mReal[subIndex]);
}
else
{
var entryIndex = AdaptedIndexFor(vertex.Index);
// -R*MT * u (dx,dy)
A1.Entry(2 * face.Index, 2 * entryIndex, mReal[subIndex]);
A1.Entry(2 * face.Index + 1, 2 * entryIndex, mImaginary[subIndex]);
// MT * v (dx,dy)
A1.Entry(2 * face.Index, 2 * entryIndex + 1, -mImaginary[subIndex]);
A1.Entry(2 * face.Index + 1, 2 * entryIndex + 1, mReal[subIndex]);
}
subIndex++;
}
}
double[] bPrime;
A2.Compress().Ax(b, out bPrime);
var solver = QR.Create(A1.Compress());
solver.Solve(bPrime);
for (var vertIndex = 0; vertIndex < n; vertIndex++)
{
if (vertIndex == P1Index)
{
bu[vertIndex] = P1UV[0];
bv[vertIndex] = P1UV[1];
}
else if (vertIndex == P2Index)
{
bu[vertIndex] = P2UV[0];
bv[vertIndex] = P2UV[1];
}
else
{
var adaptedIndex = AdaptedIndexFor(vertIndex);
bu[vertIndex] = bPrime[2 * adaptedIndex];
bv[vertIndex] = bPrime[2 * adaptedIndex + 1];
}
}
/// update mesh positions and uv's
MeshLaplacian.UpdateMesh(meshout, bu, bv, b0, bu, bv);
MeshLaplacian.UpdateMesh(meshin, bu, bv);
}
/// <summary>
/// Computes the QR decomposition for a matrix.
/// </summary>
/// <param name="matrix">The matrix to factor.</param>
/// <param name="method">The type of QR factorization to perform.</param>
/// <returns>The QR decomposition object.</returns>
public static QR QR(this Matrix <double> matrix, QRMethod method = QRMethod.Full)
{
return((QR)QR <double> .Create(matrix, method));
}
/// <summary>
/// Computes the QR decomposition for a matrix.
/// </summary>
/// <param name="matrix">The matrix to factor.</param>
/// <returns>The QR decomposition object.</returns>
public static QR QR(this Matrix <Complex> matrix)
{
return((QR)QR <Complex> .Create(matrix));
}
/// <summary>
/// Computes the QR decomposition for a matrix.
/// </summary>
/// <param name="matrix">The matrix to factor.</param>
/// <returns>The QR decomposition object.</returns>
public static QR QR(this Matrix <float> matrix)
{
return((QR)QR <float> .Create(matrix));
}