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RegistrationDopplerICP.cpp
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RegistrationDopplerICP.cpp
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// ----------------------------------------------------------------------------
// - Open3D: www.open3d.org -
// ----------------------------------------------------------------------------
// The MIT License (MIT)
//
// Copyright (c) 2018-2021 www.open3d.org
//
// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files (the "Software"), to deal
// in the Software without restriction, including without limitation the rights
// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the Software is
// furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in
// all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
// IN THE SOFTWARE.
// ----------------------------------------------------------------------------
#include <Eigen/Dense>
#include <iostream>
#include <memory>
#include "open3d/Open3D.h"
using namespace open3d;
using namespace open3d::pipelines::registration;
std::vector<Eigen::Vector3d> ComputeDirectionVectors(
const geometry::PointCloud &pcd) {
utility::LogDebug("ComputeDirectionVectors");
std::vector<Eigen::Vector3d> directions;
size_t n_points = pcd.points_.size();
directions.resize(n_points, Eigen::Vector3d::Zero());
#pragma omp parallel for schedule(static)
for (int i = 0; i < (int)pcd.points_.size(); ++i) {
directions[i] = pcd.points_[i].normalized();
}
return directions;
}
void VisualizeRegistration(const open3d::geometry::PointCloud &source,
const open3d::geometry::PointCloud &target,
const Eigen::Matrix4d &Transformation) {
std::shared_ptr<geometry::PointCloud> source_transformed_ptr(
new geometry::PointCloud);
std::shared_ptr<geometry::PointCloud> target_ptr(new geometry::PointCloud);
*source_transformed_ptr = source;
*target_ptr = target;
source_transformed_ptr->Transform(Transformation);
visualization::DrawGeometries({source_transformed_ptr, target_ptr},
"Registration result");
}
void PrintHelp() {
using namespace open3d;
PrintOpen3DVersion();
// clang-format off
utility::LogInfo("Usage:");
utility::LogInfo(" > RegistrationDopplerICP source_pcd target_pcd [--visualize]");
// clang-format on
utility::LogInfo("");
}
int main(int argc, char *argv[]) {
using namespace open3d;
utility::SetVerbosityLevel(utility::VerbosityLevel::Debug);
if (argc < 3 ||
utility::ProgramOptionExistsAny(argc, argv, {"-h", "--help"})) {
PrintHelp();
return 1;
}
bool visualize = false;
if (utility::ProgramOptionExists(argc, argv, "--visualize")) {
visualize = true;
}
// Prepare input.
std::shared_ptr<geometry::PointCloud> source =
open3d::io::CreatePointCloudFromFile(argv[1]);
std::shared_ptr<geometry::PointCloud> target =
open3d::io::CreatePointCloudFromFile(argv[2]);
if (source == nullptr || target == nullptr) {
utility::LogWarning("Unable to load source or target file.");
return -1;
}
// Configure DICP parameters.
const double max_neighbor_distance = {0.3};
const double lambda_doppler = {0.01};
const bool reject_dynamic_outliers = {false};
const double doppler_outlier_threshold = {2.0};
const size_t outlier_rejection_min_iteration = {2};
const size_t geometric_robust_loss_min_iteration = {0};
const size_t doppler_robust_loss_min_iteration = {2};
const double period = {0.1}; // seconds
const double convergence_threshold = {1e-6};
const size_t max_iters = {200};
std::shared_ptr<RobustKernel> geometric_kernel =
std::make_shared<TukeyLoss>(0.5);
std::shared_ptr<RobustKernel> doppler_kernel =
std::make_shared<TukeyLoss>(0.5);
std::vector<Eigen::Vector3d> source_directions =
ComputeDirectionVectors(*source);
Eigen::Matrix4d transform = Eigen::Matrix4d::Identity();
auto result = RegistrationDopplerICP(
*source, *target, source_directions, max_neighbor_distance,
transform,
TransformationEstimationForDopplerICP(
lambda_doppler, reject_dynamic_outliers,
doppler_outlier_threshold, outlier_rejection_min_iteration,
geometric_robust_loss_min_iteration,
doppler_robust_loss_min_iteration, geometric_kernel,
doppler_kernel),
ICPConvergenceCriteria(convergence_threshold, convergence_threshold,
max_iters),
period, transform);
transform = result.transformation_;
std::stringstream ss;
ss << transform;
utility::LogInfo("Final transformation = \n{}", ss.str());
if (visualize) {
VisualizeRegistration(*source, *target, transform);
}
return 0;
}