// This file is part of OpenCV project. // It is subject to the license terms in the LICENSE file found in the top-level directory // of this distribution and at http://opencv.org/license.html. // // Copyright (C) 2022, Wanli Zhong #include "test_precomp.hpp" #include "test_ptcloud_utils.hpp" #include "opencv2/flann.hpp" namespace opencv_test { namespace { TEST(NormalEstimationTest, PlaneNormalEstimation) { // generate a plane for test Mat plane_pts; vector model({1, 2, 3, 4}); float thr = 0.f; int num = 1000; vector limit({5, 55, 5, 55, 0, 0}); generatePlane(plane_pts, model, thr, num, limit); // get knn search result int k = 10; Mat knn_idx(num, k, CV_32S); // build kdtree flann::Index tree(plane_pts, flann::KDTreeIndexParams()); tree.knnSearch(plane_pts, knn_idx, noArray(), k); // estimate normal and curvature vector normals; vector curvatures; normalEstimate(normals, curvatures, plane_pts, knn_idx, k); float theta_thr = 1.f; // threshold for degree of angle between normal of plane and normal of point float curvature_thr = 0.01f; // threshold for curvature and actual curvature of the point float actual_curvature = 0.f; Point3f n1(model[0], model[1], model[2]); float n1m = n1.dot(n1); float total_theta = 0.f; float total_diff_curvature = 0.f; for (int i = 0; i < num; ++i) { float n12 = n1.dot(normals[i]); float n2m = normals[i].dot(normals[i]); float cos_theta = n12 / sqrt(n1m * n2m); // accuracy problems caused by float numbers, need to be fixed cos_theta = cos_theta > 1 ? 1 : cos_theta; cos_theta = cos_theta < -1 ? -1 : cos_theta; float theta = acos(abs(cos_theta)); total_theta += theta; total_diff_curvature += abs(curvatures[i] - actual_curvature); } float avg_theta = total_theta / (float) num; ASSERT_LE(avg_theta, theta_thr); float avg_diff_curvature = total_diff_curvature / (float) num; ASSERT_LE(avg_diff_curvature, curvature_thr); } } // namespace } // opencv_test