pnp_unittest.cpp

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/* +------------------------------------------------------------------------+
   |                     Mobile Robot Programming Toolkit (MRPT)            |
   |                          https://www.mrpt.org/                         |
   |                                                                        |
   | Copyright (c) 2005-2019, Individual contributors, see AUTHORS file     |
   | See: https://www.mrpt.org/Authors - All rights reserved.               |
   | Released under BSD License. See: https://www.mrpt.org/License          |
   +------------------------------------------------------------------------+ */
#include <gtest/gtest.h>
#include <mrpt/vision/pnp_algos.h>
#include <Eigen/Dense>
#include <iostream>

// Opencv 2.3 had a broken <opencv/eigen.h> in Ubuntu 14.04 Trusty => Disable
// PNP classes
#include <mrpt/config.h>
#if MRPT_HAS_OPENCV && MRPT_OPENCV_VERSION_NUM < 0x240
#undef MRPT_HAS_OPENCV
#define MRPT_HAS_OPENCV 0
#endif

#if MRPT_HAS_OPENCV

class CPnPTest : public ::testing::Test
{
   public:
    mrpt::vision::pnp::CPnP cpnp;

    Eigen::MatrixXd obj_pts, img_pts, pose_est;
    Eigen::Matrix3d R, I3, R_est;
    Eigen::Vector3d t, t_est;
    int n;

    void SetUp() override
    {
        n = 6;

        obj_pts = Eigen::MatrixXd::Zero(3, n);
        img_pts = Eigen::MatrixXd::Zero(3, n);
        obj_pts << 0, 20, 10, 15, 14, 16, 0, 0, -10, -5, -2, -5, 0, 40, 0, 24,
            21, 13;

        R << -0.3536, 0.3536, -0.8660, 0.9330, 0.0670, -0.3536, -0.0670,
            -0.9330, -0.3536;

        t << 20, -30, 100;

        for (int i = 0; i < n; i++)
        {
            img_pts.col(i) = (R * obj_pts.col(i) + t);
            img_pts.col(i) /= img_pts(2, i);
        }

        I3 = Eigen::MatrixXd::Identity(3, 3);

        pose_est = Eigen::MatrixXd::Zero(6, 1);
    }
    void TearDown() override {}
};

TEST_F(CPnPTest, p3p_TEST)
{
    cpnp.p3p(obj_pts, img_pts, n, I3, pose_est);

    t_est << pose_est(0), pose_est(1), pose_est(2);

    double err_t = (t - t_est).norm();

    EXPECT_LE(err_t, 2);
}

TEST_F(CPnPTest, rpnp_TEST)
{
    cpnp.rpnp(obj_pts, img_pts, n, I3, pose_est);

    t_est << pose_est(0), pose_est(1), pose_est(2);

    double err_t = (t - t_est).norm();

    EXPECT_LE(err_t, 2);
}

TEST_F(CPnPTest, ppnp_TEST)
{
    cpnp.ppnp(obj_pts, img_pts, n, I3, pose_est);

    t_est << pose_est(0), pose_est(1), pose_est(2);

    double err_t = (t - t_est).norm();

    EXPECT_LE(err_t, 2);
}

TEST_F(CPnPTest, posit_TEST)
{
    cpnp.posit(obj_pts, img_pts, n, I3, pose_est);

    t_est << pose_est(0), pose_est(1), pose_est(2);

    double err_t = (t - t_est).norm();

    EXPECT_LE(err_t, 2);
}

TEST_F(CPnPTest, lhm_TEST)
{
    cpnp.lhm(obj_pts, img_pts, n, I3, pose_est);

    t_est << pose_est(0), pose_est(1), pose_est(2);

    double err_t = (t - t_est).norm();

    EXPECT_LE(err_t, 2);
}

TEST_F(CPnPTest, dls_TEST)
{
    cpnp.dls(obj_pts, img_pts, n, I3, pose_est);

    t_est << pose_est(0), pose_est(1), pose_est(2);

    double err_t = (t - t_est).norm();

    EXPECT_LE(err_t, 2);
}

TEST_F(CPnPTest, epnp_TEST)
{
    cpnp.epnp(obj_pts, img_pts, n, I3, pose_est);

    t_est << pose_est(0), pose_est(1), pose_est(2);

    double err_t = (t - t_est).norm();

    EXPECT_LE(err_t, 2);
}

TEST_F(CPnPTest, DISABLED_upnp_TEST)
{
    cpnp.upnp(obj_pts, img_pts, n, I3, pose_est);

    t_est << pose_est(0), pose_est(1), pose_est(2);

    double err_t = (t - t_est).norm();

    EXPECT_LE(err_t, 2);
}

#endif