本文整理汇总了C#中System.Matrix.Mul方法的典型用法代码示例。如果您正苦于以下问题：C# Matrix.Mul方法的具体用法？C# Matrix.Mul怎么用？C# Matrix.Mul使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类System.Matrix的用法示例。
在下文中一共展示了Matrix.Mul方法的6个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C#代码示例。
示例1: TestArithmatic
public void TestArithmatic()
{
Matrix<byte> m = new Matrix<byte>(10, 8);
m.SetRandNormal(new MCvScalar(), new MCvScalar(30));
Matrix<byte> mMultiplied = m.Mul(2.0);
for (int i = 0; i < m.Rows; i++)
for (int j = 0; j < m.Cols; j++)
Assert.AreEqual(m[i, j] * 2, mMultiplied[i, j]);
}示例2: GetSVDRotation
protected double GetSVDRotation(Matrix<double>[] p1, Matrix<double>[] p2, out Matrix<double> rotation)
{
var centr1 = GetCentroid(p1);
var centr2 = GetCentroid(p2);
var q1 = new List<Matrix<double>>();
var q2 = new List<Matrix<double>>();
var H = new Matrix<double>(3, 3);
for (int i = 0; i < Math.Min(p1.Count(), p2.Count()); ++i)
{
var q1d = new Matrix<double>(new double[,]
{
{p1[i][0, 0] - centr1[0, 0]},
{p1[i][1, 0] - centr1[1, 0]},
{p1[i][2, 0] - centr1[2, 0]}
});
q1.Add(q1d);
var q2d = new Matrix<double>(new double[,]
{
{p2[i][0, 0] - centr2[0, 0]},
{p2[i][1, 0] - centr2[1, 0]},
{p2[i][2, 0] - centr2[2, 0]}
});
q2.Add(q2d);
H = H.Add(q1d.Mul(q2d.Transpose()));
}
var U = new Matrix<double>(3, 3);
var W = new Matrix<double>(3, 3);
var V = new Matrix<double>(3, 3);
CvInvoke.cvSVD(H, W, U, V, SVD_TYPE.CV_SVD_DEFAULT);
var X = V.Mul(U.Transpose());
var detX = CvInvoke.cvDet(X);
rotation = X;
return detX;
}示例3: ReprojectTo3d
public Matrix<double>[] ReprojectTo3d(Image<Gray, byte> leftImg, double[] disps, PointF[] points, Matrix<double> Q)
{
var res = new Matrix<double>[points.Count()];
for (int i = 0; i < points.Count(); ++i)
{
if (points[i].X >= leftImg.Width || points[i].X < 0 || points[i].Y >= leftImg.Height || points[i].Y < 0)
{
res[i] = null;
continue;
}
//
if (disps[i] <= 0)
{
res[i] = null;
continue;
}
var p = new Matrix<double>(new double[,]
{
{points[i].X},
{points[i].Y},
{disps[i]},
{1}
});
var ph3d = Q.Mul(p);
if (ph3d[3, 0] == 0)
{
res[i] = null;
continue;
}
res[i] = new Matrix<double>(new double[,]
{
{ph3d[0, 0] / ph3d[3, 0]},
{ph3d[1, 0] / ph3d[3, 0]},
{ph3d[2, 0] / ph3d[3, 0]}
});
}
return res;
}示例4: GetGyroRotationMatrix
public Matrix<double> GetGyroRotationMatrix(ReadingsVector3f gyroVect, double gyroSpeedMul)
{
Matrix<double> res = new Matrix<double>(3, 3);
if (this.OldGyroReadings == null)
{
res.SetIdentity();
}
else
{
long diffMS = gyroVect.TimeStampI - this.OldGyroReadings.TimeStampI;
double xr = -((double)gyroVect.Values[0] * diffMS) / 1000 * gyroSpeedMul;
double yr = ((double)gyroVect.Values[1] * diffMS) / 1000 * gyroSpeedMul;
double zr = -((double)gyroVect.Values[2] * diffMS) / 1000 * gyroSpeedMul;
double sinxr = Math.Sin(xr);
double cosxr = Math.Cos(xr);
double sinyr = Math.Sin(yr);
double cosyr = Math.Cos(yr);
double sinzr = Math.Sin(zr);
double coszr = Math.Cos(zr);
Matrix<double> xM = new Matrix<double>(new double[,]
{
{1, 0, 0 },
{0, cosxr, sinxr},
{0, -sinxr, cosxr}
});
Matrix<double> yM = new Matrix<double>(new double[,]
{
{cosyr, 0, sinyr},
{0, 1, 0 },
{-sinyr, 0, cosyr}
});
Matrix<double> zM = new Matrix<double>(new double[,]
{
{coszr, sinzr, 0},
{-sinzr, coszr, 0},
{0, 0, 1}
});
res = xM.Mul(yM).Mul(zM);
}
return res;
}示例5: SolveLeastSquares
public static Matrix<double> SolveLeastSquares(Matrix<double> A, Matrix<double> b)
{
int M = A.Rows;
int N = A.Cols;
var x = new Matrix<double>(N, 1);
var U = new Matrix<double>(M, M);
var F = new Matrix<double>(M, N);
var V = new Matrix<double>(N, N);
var c = new Matrix<double>(M, 1);
var y = new Matrix<double>(N, 1);
CvInvoke.cvSVD(A.Ptr, F.Ptr, U.Ptr, V.Ptr, SVD_TYPE.CV_SVD_DEFAULT);
c = U.Transpose().Mul(b);
for (int i = 0; i < N; i++)
{
y[i, 0] = c[i, 0]/F[i, i];
}
x = V.Mul(y);
return x;
}示例6: GetRotationMatrixBetweenTwoStates
public double[][] GetRotationMatrixBetweenTwoStates(double[][] state1, double[][] state2, Matrix<double> calibMatrix)
{
var size = new Size(state1.Length, state1.Length);
var state1M = calibMatrix.Mul(Utils.CvHelper.ArrayToMatrix(state1, size));
var state2M = calibMatrix.Mul(Utils.CvHelper.ArrayToMatrix(state2, size));
var state1MInv = new Matrix<double>(state1M.Size);
CvInvoke.cvInvert(state1M, state1MInv, SOLVE_METHOD.CV_LU);
//var diff = state1MInv.Mul(state2M);
//var res = state1M.Mul(diff).Mul(state1MInv);
var res = state2M.Mul(state1MInv);
return Utils.CvHelper.MatrixToArray(res);
}