Esempio n. 1
0
  @Test
  public void incorrectInput() {
    init(30, false);

    // compute true essential matrix
    DenseMatrix64F E = MultiViewOps.createEssential(worldToCamera.getR(), worldToCamera.getT());

    // create an alternative incorrect matrix
    Vector3D_F64 T = worldToCamera.getT().copy();
    T.x += 0.1;
    DenseMatrix64F Emod = MultiViewOps.createEssential(worldToCamera.getR(), T);

    ModelFitter<DenseMatrix64F, AssociatedPair> alg = createAlgorithm();

    // compute and compare results
    assertTrue(alg.fitModel(pairs, Emod, found));

    // normalize to allow comparison
    CommonOps.divide(E.get(2, 2), E);
    CommonOps.divide(Emod.get(2, 2), Emod);
    CommonOps.divide(found.get(2, 2), found);

    double error0 = 0;
    double error1 = 0;

    // very crude error metric
    for (int i = 0; i < 9; i++) {
      error0 += Math.abs(Emod.data[i] - E.data[i]);
      error1 += Math.abs(found.data[i] - E.data[i]);
    }

    //		System.out.println("error "+error1+"   other "+error0);
    assertTrue(error1 < error0);
  }
Esempio n. 2
0
  @Test
  public void perfectInput() {
    init(30, false);

    // compute true essential matrix
    DenseMatrix64F E = MultiViewOps.createEssential(worldToCamera.getR(), worldToCamera.getT());

    ModelFitter<DenseMatrix64F, AssociatedPair> alg = createAlgorithm();

    // give it the perfect matrix and see if it screwed it up
    assertTrue(alg.fitModel(pairs, E, found));

    // normalize so that they are the same
    CommonOps.divide(E.get(2, 2), E);
    CommonOps.divide(found.get(2, 2), found);

    assertTrue(MatrixFeatures.isEquals(E, found, 1e-8));
  }