Example #1
0
        //get transformation matrix from vector more then current matrice
        void addNewMatrix(object sender, RoutedEventArgs e)
        {
            if (pointsToCalibrate == null)
            {
                MessageBox.Show("Avaliable points not enough. Please Get more points!!");
                return;
            }
            if (pointsToCalibrate[0] == null)
            {
                MessageBox.Show("Avaliable points not enough. Please Get more points!!");
                return;
            }

            //get current matrices
            //Get transformation matrix from matrices.txt
            string text = System.IO.File.ReadAllText("matrices.txt");

            string[] matricesData = text.Split(' ');
            for (int i = 0; i < matricesData.Length; i++)
            {
                matricesData[i].TrimEnd('\n');
            }

            int step         = 16; // a matrix
            int oldKinectNum = matricesData.Length / step;
            List <DenseMatrix> transfMatrix = new List <DenseMatrix>();
            MatrixProcessor    mp           = new MatrixProcessor();

            for (int i = 0; i < oldKinectNum; ++i)
            {
                DenseMatrix m = new DenseMatrix(4);
                for (int row = 0; row < 4; ++row)
                {
                    for (int col = 0; col < 4; ++col)
                    {
                        m[row, col] = Convert.ToDouble(matricesData[step * i + row * 4 + col]);
                    }
                }
                transfMatrix.Add(m);
            }
            MessageBox.Show("Existing matrix num = " + transfMatrix.Count);

            //check whether the point is enough for each kinect without matrix
            for (int kinectIndex = oldKinectNum; kinectIndex < pointsToCalibrate.Length; ++kinectIndex)
            {
                int pointNum = 0;
                for (int pointIndex = 0; pointIndex < pointsToCalibrate[kinectIndex].Count; ++pointIndex)
                {
                    if (pointsToCalibrate[kinectIndex][pointIndex][2, 0] > 0.5)
                    {
                        bool hasKnownPoint = false;
                        //one of the previous kinect has value
                        for (int i = 0; i < oldKinectNum; ++i)
                        {
                            if (pointsToCalibrate[i][pointIndex][2, 0] > 0.5)
                            {
                                hasKnownPoint = true;
                                break;
                            }
                        }
                        if (hasKnownPoint)
                        {
                            pointNum++;
                        }
                    }
                }

                if (pointNum < 4)
                {
                    MessageBox.Show("Get " + (4 - pointNum) + " more points for kinect " + kinectIndex);
                    return;
                }
            }

            //using existing information to calibrate kinects without matrix yet
            string textToPrint = "";

            for (int kinectIndex = oldKinectNum; kinectIndex < pointsToCalibrate.Length; ++kinectIndex)
            {
                //int pointNum = 0;
                List <DenseMatrix> pointsToCalibrate0 = new List <DenseMatrix>();
                List <DenseMatrix> pointsToCalibrate1 = new List <DenseMatrix>();
                for (int pointIndex = 0; pointIndex < pointsToCalibrate[kinectIndex].Count; ++pointIndex)
                {
                    if (pointsToCalibrate[kinectIndex][pointIndex][2, 0] > 0.5)
                    {
                        // bool hasKnownPoint = false;
                        //one of the existing kinects has value
                        for (int i = 0; i < oldKinectNum; ++i)
                        {
                            if (pointsToCalibrate[i][pointIndex][2, 0] > 0.5)
                            {
                                pointsToCalibrate0.Add(transfMatrix[i] * pointsToCalibrate[i][pointIndex]);
                                pointsToCalibrate1.Add(pointsToCalibrate[kinectIndex][pointIndex]);
                                break;
                            }
                        }
                    }
                }

                transfMatrix.Add(mp.getTransformationMatrixFromPoint(pointsToCalibrate0, pointsToCalibrate1));
                double errorSum = 0;

                for (int i = 0; i < pointsToCalibrate0.Count; ++i)
                {
                    DenseMatrix dm0 = (DenseMatrix)pointsToCalibrate0[i].Clone();
                    DenseMatrix dm1 = (DenseMatrix)pointsToCalibrate1[i].Clone();
                    dm1       = transfMatrix[kinectIndex] * dm1;
                    errorSum += Math.Sqrt((dm0[0, 0] - dm1[0, 0]) * (dm0[0, 0] - dm1[0, 0]) + (dm0[1, 0] - dm1[1, 0]) * (dm0[1, 0] - dm1[1, 0])
                                          + (dm0[2, 0] - dm1[2, 0]) * (dm0[2, 0] - dm1[2, 0]));
                }
                textToPrint += "[KINECT " + kinectIndex.ToString() + "] error sum = " + errorSum +
                               Environment.NewLine + mp.printMatrix(transfMatrix[kinectIndex]);
            }
            MessageBox.Show("calibration result = " + Environment.NewLine + textToPrint);

            //store previous result
            prevMatrices = text;
            TextWriter tw1 = new StreamWriter("matrices.txt");

            for (int j = 0; j < pointsToCalibrate.Length; ++j)
            {
                for (int row = 0; row < 4; ++row)
                {
                    for (int col = 0; col < 4; ++col)
                    {
                        tw1.Write(transfMatrix[j][row, col].ToString() + " ");
                    }
                }
            }
            tw1.Close();
            GUIComponents.fc.fp.getTransformationMatrix();
        }
Example #2
0
        //get transformation matrix from kinect 0
        void getMatrixFromAll(object sender, RoutedEventArgs e)
        {
            //check for points avaliable
            if (pointsToCalibrate == null)
            {
                MessageBox.Show("Avaliable points not enough. Please Get more points!!");
                return;
            }
            if (pointsToCalibrate[0] == null)
            {
                MessageBox.Show("Avaliable points not enough. Please Get more points!!");
                return;
            }

            //remove failed points
            for (int i = 0; i < pointsToCalibrate[0].Count; ++i)
            {
                bool removeThisPoint = false;
                for (int j = 0; j < pointsToCalibrate.Length; ++j)
                {
                    if (pointsToCalibrate[j][i][2, 0] < 0.5 || pointsToCalibrate[j][i][2, 0] > 2.5)
                    {
                        removeThisPoint = true;
                    }
                }
                if (removeThisPoint)
                {
                    for (int j = 0; j < pointsToCalibrate.Length; ++j)
                    {
                        pointsToCalibrate[j].RemoveAt(i);
                    }
                    i--;
                }
            }

            //return if there are not enough avaliable points
            if (pointsToCalibrate[0].Count < 4)
            {
                int n = 4 - pointsToCalibrate[0].Count;
                MessageBox.Show("Avaliable points not enough. Please Get " + n.ToString() + " more points!!");
                return;
            }

            List <DenseMatrix> transfMatrixList = new List <DenseMatrix>();
            MatrixProcessor    mp = new MatrixProcessor();

            transfMatrixList.Add(DenseMatrix.CreateIdentity(4)); //transformation matrix for kinect 0
            for (int i = 1; i < pointsToCalibrate.Length; ++i)
            {
                transfMatrixList.Add(mp.getTransformationMatrixFromPoint(pointsToCalibrate[0], pointsToCalibrate[i]));
            }

            //Compute error sum, when is the sum of errors between the corresponding points
            List <double> errorList = new List <double>();

            for (int j = 0; j < pointsToCalibrate.Length; ++j)
            {
                double errorSum = 0;
                for (int i = 0; i < pointsToCalibrate[0].Count; ++i)
                {
                    DenseMatrix dm0 = (DenseMatrix)pointsToCalibrate[0][i].Clone();
                    DenseMatrix dm1 = (DenseMatrix)pointsToCalibrate[j][i].Clone();
                    dm1       = transfMatrixList[j] * dm1;
                    errorSum += Math.Sqrt((dm0[0, 0] - dm1[0, 0]) * (dm0[0, 0] - dm1[0, 0]) + (dm0[1, 0] - dm1[1, 0]) * (dm0[1, 0] - dm1[1, 0])
                                          + (dm0[2, 0] - dm1[2, 0]) * (dm0[2, 0] - dm1[2, 0]));
                }
                errorList.Add(errorSum);
            }


            //print result
            string textToPrint = "";

            for (int j = 0; j < pointsToCalibrate.Length; ++j)
            {
                textToPrint += "[KINECT " + j.ToString() + "] error sum = " + errorList[j] + Environment.NewLine +
                               mp.printMatrix(transfMatrixList[j]);
            }
            MessageBox.Show("calibration result = " + Environment.NewLine + textToPrint);

            prevMatrices = System.IO.File.ReadAllText("matrices.txt");
            TextWriter tw1 = new StreamWriter("matrices.txt");

            for (int j = 0; j < pointsToCalibrate.Length; ++j)
            {
                for (int row = 0; row < 4; ++row)
                {
                    for (int col = 0; col < 4; ++col)
                    {
                        tw1.Write(transfMatrixList[j][row, col].ToString() + " ");
                    }
                }
            }
            tw1.Close();
            GUIComponents.fc.fp.getTransformationMatrix();
        }