点云平面合并
作者:互联网
//优化平面,Ransac的反复提取,冗余 template <typename Kernel> void Hypothesis<Kernel>::refine_planes() { std::vector< Planar_segment* >& segments = point_set_->planar_segments(); const typename Point_set_with_planes::Point_map& points = point_set_->point_map(); FT avg_max_dist = 0; for (std::size_t i = 0; i < segments.size(); ++i) { Planar_segment* s = segments[i]; const Plane* plane = s->fit_supporting_plane(); // user may provide invalid plane fitting (we always fit) FT max_dist = -(std::numeric_limits<FT>::max)(); for (std::size_t j = 0; j < s->size(); ++j) { std::size_t idx = s->at(j); const Point& p = points[idx]; FT sdist = CGAL::squared_distance(*plane, p); max_dist = (std::max)(max_dist, std::sqrt(sdist)); } avg_max_dist += max_dist; } avg_max_dist /= segments.size(); avg_max_dist /= FT(2.0); FT theta = static_cast<FT>(CGAL_PI * 10.0 / FT(180.0)); // in radian bool merged = false; do { merged = false; // Segments with less points have less confidences and thus should be merged first. // So we sort the segments according to their sizes. std::sort(segments.begin(), segments.end(), internal::SegmentSizeIncreasing<Planar_segment>()); for (std::size_t i = 0; i < segments.size(); ++i) { Planar_segment* s1 = segments[i]; const Plane* plane1 = s1->supporting_plane(); Vector n1 = plane1->orthogonal_vector(); internal::normalize<FT, Vector>(n1); FT num_threshold = s1->size() / FT(5.0); for (std::size_t j = i + 1; j < segments.size(); ++j) { Planar_segment* s2 = segments[j]; const Plane* plane2 = s2->supporting_plane(); Vector n2 = plane2->orthogonal_vector(); internal::normalize<FT, Vector>(n2); if (std::abs(n1 * n2) > std::cos(theta)) { std::size_t set1on2 = number_of_points_on_plane(s1, plane2, avg_max_dist); std::size_t set2on1 = number_of_points_on_plane(s2, plane1, avg_max_dist); if (set1on2 > num_threshold || set2on1 > num_threshold) { merge(s1, s2); merged = true; break; } } } if (merged) break; } } while (merged); std::sort(segments.begin(), segments.end(), internal::SegmentSizeDecreasing<Planar_segment>()); // Stores all the supporting planes for (std::size_t i = 0; i < segments.size(); ++i) { Planar_segment* s = segments[i]; const Plane* plane = s->supporting_plane(); supporting_planes_.push_back(plane); } }
标签:std,dist,max,segments,合并,plane,点云,平面,size 来源: https://www.cnblogs.com/yhlx125/p/16183255.html