def test_fit_matched_points():
    """Test fit_matched_points: fitting two matching sets of points"""
    tgt_pts = np.random.uniform(size=(6, 3))

    # rotation only
    trans = rotation(2, 6, 3)
    src_pts = apply_trans(trans, tgt_pts)
    trans_est = fit_matched_points(src_pts, tgt_pts, translate=False, out="trans")
    est_pts = apply_trans(trans_est, src_pts)
    assert_array_almost_equal(tgt_pts, est_pts, 2, "fit_matched_points with " "rotation")

    # rotation & scaling
    trans = np.dot(rotation(2, 6, 3), scaling(0.5, 0.5, 0.5))
    src_pts = apply_trans(trans, tgt_pts)
    trans_est = fit_matched_points(src_pts, tgt_pts, translate=False, scale=1, out="trans")
    est_pts = apply_trans(trans_est, src_pts)
    assert_array_almost_equal(tgt_pts, est_pts, 2, "fit_matched_points with " "rotation and scaling.")

    # rotation & translation
    trans = np.dot(translation(2, -6, 3), rotation(2, 6, 3))
    src_pts = apply_trans(trans, tgt_pts)
    trans_est = fit_matched_points(src_pts, tgt_pts, out="trans")
    est_pts = apply_trans(trans_est, src_pts)
    assert_array_almost_equal(tgt_pts, est_pts, 2, "fit_matched_points with " "rotation and translation.")

    # rotation & translation & scaling
    trans = reduce(np.dot, (translation(2, -6, 3), rotation(1.5, 0.3, 1.4), scaling(0.5, 0.5, 0.5)))
    src_pts = apply_trans(trans, tgt_pts)
    trans_est = fit_matched_points(src_pts, tgt_pts, scale=1, out="trans")
    est_pts = apply_trans(trans_est, src_pts)
    assert_array_almost_equal(tgt_pts, est_pts, 2, "fit_matched_points with " "rotation, translation and scaling.")

    # test exceeding tolerance
    tgt_pts[0, :] += 20
    assert_raises(RuntimeError, fit_matched_points, tgt_pts, src_pts, tol=10)
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def test_fit_point_cloud():
    """Test fit_point_cloud: fitting a set of points to a point cloud"""
    # evenly spaced target points on a sphere
    u = np.linspace(0, np.pi, 150)
    v = np.linspace(0, np.pi, 150)

    x = np.outer(np.cos(u), np.sin(v)).reshape((-1, 1))
    y = np.outer(np.sin(u), np.sin(v)).reshape((-1, 1))
    z = np.outer(np.ones(np.size(u)), np.cos(v)).reshape((-1, 1)) * 3

    tgt_pts = np.hstack((x, y, z))
    tgt_pts = _decimate_points(tgt_pts, .05)

    # pick some points to fit
    some_tgt_pts = tgt_pts[::362]

    # rotation only
    trans = rotation(1.5, .3, -0.4)
    src_pts = apply_trans(trans, some_tgt_pts)
    trans_est = fit_point_cloud(src_pts, tgt_pts, rotate=True, translate=False,
                                scale=0, out='trans')
    est_pts = apply_trans(trans_est, src_pts)
    err = _point_cloud_error(est_pts, tgt_pts)
    assert_array_less(err, .1, "fit_point_cloud with rotation.")

    # rotation and translation
    trans = np.dot(rotation(0.5, .3, -0.4), translation(.3, .2, -.2))
    src_pts = apply_trans(trans, some_tgt_pts)
    trans_est = fit_point_cloud(src_pts, tgt_pts, rotate=True, translate=True,
                                scale=0, out='trans')
    est_pts = apply_trans(trans_est, src_pts)
    err = _point_cloud_error(est_pts, tgt_pts)
    assert_array_less(err, .1, "fit_point_cloud with rotation and "
                      "translation.")

    # rotation and 1 scale parameter
    trans = np.dot(rotation(0.5, .3, -0.4), scaling(1.5, 1.5, 1.5))
    src_pts = apply_trans(trans, some_tgt_pts)
    trans_est = fit_point_cloud(src_pts, tgt_pts, rotate=True, translate=False,
                                scale=1, out='trans')
    est_pts = apply_trans(trans_est, src_pts)
    err = _point_cloud_error(est_pts, tgt_pts)
    assert_array_less(err, .1, "fit_point_cloud with rotation and 1 scaling "
                      "parameter.")

    # rotation and 3 scale parameter
    trans = np.dot(rotation(0.5, .3, -0.4), scaling(1.5, 1.7, 1.1))
    src_pts = apply_trans(trans, some_tgt_pts)
    trans_est = fit_point_cloud(src_pts, tgt_pts, rotate=True, translate=False,
                                scale=3, out='trans')
    est_pts = apply_trans(trans_est, src_pts)
    err = _point_cloud_error(est_pts, tgt_pts)
    assert_array_less(err, .1, "fit_point_cloud with rotation and 3 scaling "
                      "parameters.")
def test_fit_point_cloud():
    """Test fit_point_cloud: fitting a set of points to a point cloud"""
    # evenly spaced target points on a sphere
    u = np.linspace(0, np.pi, 150)
    v = np.linspace(0, np.pi, 150)

    x = np.outer(np.cos(u), np.sin(v)).reshape((-1, 1))
    y = np.outer(np.sin(u), np.sin(v)).reshape((-1, 1))
    z = np.outer(np.ones(np.size(u)), np.cos(v)).reshape((-1, 1)) * 3

    tgt_pts = np.hstack((x, y, z))
    tgt_pts = _decimate_points(tgt_pts, .05)

    # pick some points to fit
    some_tgt_pts = tgt_pts[::362]

    # rotation only
    trans = rotation(1.5, .3, -0.4)
    src_pts = apply_trans(trans, some_tgt_pts)
    trans_est = fit_point_cloud(src_pts, tgt_pts, rotate=True, translate=False,
                                scale=0, out='trans')
    est_pts = apply_trans(trans_est, src_pts)
    err = _point_cloud_error(est_pts, tgt_pts)
    assert_array_less(err, .1, "fit_point_cloud with rotation.")

    # rotation and translation
    trans = np.dot(rotation(0.5, .3, -0.4), translation(.3, .2, -.2))
    src_pts = apply_trans(trans, some_tgt_pts)
    trans_est = fit_point_cloud(src_pts, tgt_pts, rotate=True, translate=True,
                                scale=0, out='trans')
    est_pts = apply_trans(trans_est, src_pts)
    err = _point_cloud_error(est_pts, tgt_pts)
    assert_array_less(err, .1, "fit_point_cloud with rotation and "
                      "translation.")

    # rotation and 1 scale parameter
    trans = np.dot(rotation(0.5, .3, -0.4), scaling(1.5, 1.5, 1.5))
    src_pts = apply_trans(trans, some_tgt_pts)
    trans_est = fit_point_cloud(src_pts, tgt_pts, rotate=True, translate=False,
                                scale=1, out='trans')
    est_pts = apply_trans(trans_est, src_pts)
    err = _point_cloud_error(est_pts, tgt_pts)
    assert_array_less(err, .1, "fit_point_cloud with rotation and 1 scaling "
                      "parameter.")

    # rotation and 3 scale parameter
    trans = np.dot(rotation(0.5, .3, -0.4), scaling(1.5, 1.7, 1.1))
    src_pts = apply_trans(trans, some_tgt_pts)
    trans_est = fit_point_cloud(src_pts, tgt_pts, rotate=True, translate=False,
                                scale=3, out='trans')
    est_pts = apply_trans(trans_est, src_pts)
    err = _point_cloud_error(est_pts, tgt_pts)
    assert_array_less(err, .1, "fit_point_cloud with rotation and 3 scaling "
                      "parameters.")
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def test_fit_matched_points():
    """Test fit_matched_points: fitting two matching sets of points"""
    tgt_pts = np.random.uniform(size=(6, 3))

    # rotation only
    trans = rotation(2, 6, 3)
    src_pts = apply_trans(trans, tgt_pts)
    trans_est = fit_matched_points(src_pts,
                                   tgt_pts,
                                   translate=False,
                                   out='trans')
    est_pts = apply_trans(trans_est, src_pts)
    assert_array_almost_equal(tgt_pts, est_pts, 2, "fit_matched_points with "
                              "rotation")

    # rotation & scaling
    trans = np.dot(rotation(2, 6, 3), scaling(.5, .5, .5))
    src_pts = apply_trans(trans, tgt_pts)
    trans_est = fit_matched_points(src_pts,
                                   tgt_pts,
                                   translate=False,
                                   scale=1,
                                   out='trans')
    est_pts = apply_trans(trans_est, src_pts)
    assert_array_almost_equal(
        tgt_pts, est_pts, 2, "fit_matched_points with "
        "rotation and scaling.")

    # rotation & translation
    trans = np.dot(translation(2, -6, 3), rotation(2, 6, 3))
    src_pts = apply_trans(trans, tgt_pts)
    trans_est = fit_matched_points(src_pts, tgt_pts, out='trans')
    est_pts = apply_trans(trans_est, src_pts)
    assert_array_almost_equal(
        tgt_pts, est_pts, 2, "fit_matched_points with "
        "rotation and translation.")

    # rotation & translation & scaling
    trans = reduce(
        np.dot,
        (translation(2, -6, 3), rotation(1.5, .3, 1.4), scaling(.5, .5, .5)))
    src_pts = apply_trans(trans, tgt_pts)
    trans_est = fit_matched_points(src_pts, tgt_pts, scale=1, out='trans')
    est_pts = apply_trans(trans_est, src_pts)
    assert_array_almost_equal(
        tgt_pts, est_pts, 2, "fit_matched_points with "
        "rotation, translation and scaling.")

    # test exceeding tolerance
    tgt_pts[0, :] += 20
    assert_raises(RuntimeError, fit_matched_points, tgt_pts, src_pts, tol=10)