PCACompute Opencv devuelve autovectores = 0

have this problem with PCACompute in Android Opencv2.3.1 because when i call PCACompute my eigenvectors are all 0. So, i take 10 photos for each people and i save it into a Mat of 100X100. After that, i convert my 100X100 Mat in one Mat 1X10000 with this code:

double [] elem = null; 
 for(int riga=0;riga<m.rows();riga++)
  {
   for(int colonna=0;colonna<m.cols();colonna++)
   {
    elem = m.get(riga, colonna);
      mrow.put(0,((riga*100)+colonna), elem[0]);
    }//for colonna
 }//for riga

After that, when i take 10 photos, i insert all Mat of the photos into one mat with this code:

double b[] = null;
  for (int i = 0; i< listafoto.size(); i++)
   {
    Mat t = listafoto.get(i);
      for(int riga = 0;riga<t.rows();riga++)
       {
        for(int colonna =0;colonna<t.cols();colonna++)
        {
           b = t.get(riga, colonna);
           datiOriginali.put(i, colonna, b[0]);
        }//for colonna
    }//for riga
 }//for lista e contemporaneamente riga datiOriginali

After that, i call PCACompute with this code: `

 org.opencv.core.Core.PCACompute(datiOriginali,mean, eigenvectors, 10);`

So, datiOriginali is the input Mat of 10 rows and 10000 cols, mean and eigenvectors are the output matrix. mean matrix give me a result, but eigenvectors give me all 0. Can you help me to resolve this problem? Thanks in advance.MArco

preguntado el 02 de febrero de 12 a las 10:02

1 Respuestas

I based my code on the example at http://www.bytefish.de/blog/pca_in_opencv. Here's how I did this:

    Vector trainingImages = new Vector();;
    trainingImages.add(Highgui.imread("/sdcard/facedatabase/s1/1.pgm",0));
    trainingImages.add(Highgui.imread("/sdcard/facedatabase/s1/2.pgm",0));

    Mat x = (Mat) trainingImages.get(0);
    int total = x.rows() * x.cols();

    // build matrix (column)
    // This matrix will have one col for each image and imagerows x imagecols rows
        Mat mat = new Mat(total, trainingImages.size(), CvType.CV_32FC1);
        for(int i = 0; i < trainingImages.size(); i++) {
            Mat X = mat.col(i);
            Mat c = (Mat) trainingImages.get(i);
            c.reshape(1,total).convertTo(X, CvType.CV_32FC1);
        }

    Mat eigenVectors = new Mat();
    Mat mean = new Mat();
    Core.PCACompute(mat, mean, eigenVectors);

Respondido 17 Feb 12, 01:02

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