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// ----------------------------------------------------------------------------
// - Open3D: www.open3d.org -
// ----------------------------------------------------------------------------
// Copyright (c) 2018-2024 www.open3d.org
// SPDX-License-Identifier: MIT
// ----------------------------------------------------------------------------
#include "open3d/t/pipelines/registration/TransformationEstimation.h"
#include "core/CoreTest.h"
#include "open3d/core/Tensor.h"
#include "open3d/t/pipelines/registration/Registration.h"
#include "tests/Tests.h"
namespace open3d {
namespace tests {
class TransformationEstimationPermuteDevices : public PermuteDevices {};
INSTANTIATE_TEST_SUITE_P(TransformationEstimation,
TransformationEstimationPermuteDevices,
testing::ValuesIn(PermuteDevices::TestCases()));
static std::
tuple<t::geometry::PointCloud, t::geometry::PointCloud, core::Tensor>
GetTestPointCloudsAndCorrespondences(const core::Dtype& dtype,
const core::Device& device) {
core::Tensor source_points =
core::Tensor::Init<double>({{1.15495, 2.40671, 1.15061},
{1.81481, 2.06281, 1.71927},
{0.888322, 2.05068, 2.04879},
{3.78842, 1.70788, 1.30246},
{1.8437, 2.22894, 0.986237},
{2.95706, 2.20180, 0.987878},
{1.72644, 1.24356, 1.93486},
{0.922024, 1.14872, 2.34317},
{3.70293, 1.85134, 1.15357},
{3.06505, 1.30386, 1.55279},
{0.634826, 1.04995, 2.47046},
{1.40107, 1.37469, 1.09687},
{2.93002, 1.96242, 1.48532},
{3.74384, 1.30258, 1.30244}},
device);
t::geometry::PointCloud source(source_points.To(device, dtype));
core::Tensor target_points =
core::Tensor::Init<double>({{2.41766, 2.05397, 1.74994},
{1.37848, 2.19793, 1.66553},
{2.24325, 2.27183, 1.33708},
{3.09898, 1.98482, 1.77401},
{1.81615, 1.48337, 1.49697},
{3.01758, 2.20312, 1.51502},
{2.38836, 1.39096, 1.74914},
{1.30911, 1.4252, 1.37429},
{3.16847, 1.39194, 1.90959},
{1.59412, 1.53304, 1.58040},
{1.34342, 2.19027, 1.30075}},
device);
core::Tensor target_normals =
core::Tensor::Init<double>({{-0.00850160, -0.22355, -0.519574},
{0.257463, -0.0738755, -0.698319},
{0.0574301, -0.484248, -0.409929},
{-0.0123503, -0.230172, -0.520720},
{0.355904, -0.142007, -0.720467},
{0.0674038, -0.418757, -0.458602},
{0.226091, 0.258253, -0.874024},
{0.43979, 0.122441, -0.574998},
{0.109144, 0.180992, -0.762368},
{0.273325, 0.292013, -0.903111},
{0.385407, -0.212348, -0.277818}},
device);
t::geometry::PointCloud target(target_points.To(device, dtype));
target.SetPointNormals(target_normals.To(device, dtype));
core::Tensor corres = core::Tensor::Init<int64_t>(
{10, 1, 1, 3, 2, 5, 9, 7, 5, 8, 7, 7, 5, 8}, device);
return std::make_tuple(source, target, corres);
}
TEST_P(TransformationEstimationPermuteDevices, ComputeRMSEPointToPoint) {
core::Device device = GetParam();
for (auto dtype : {core::Float32, core::Float64}) {
t::geometry::PointCloud source_pcd(device), target_pcd(device);
core::Tensor corres;
std::tie(source_pcd, target_pcd, corres) =
GetTestPointCloudsAndCorrespondences(dtype, device);
t::pipelines::registration::TransformationEstimationPointToPoint
estimation_p2p;
double p2p_rmse =
estimation_p2p.ComputeRMSE(source_pcd, target_pcd, corres);
EXPECT_NEAR(p2p_rmse, 0.706437, 0.0001);
}
}
TEST_P(TransformationEstimationPermuteDevices,
ComputeTransformationPointToPoint) {
core::Device device = GetParam();
for (auto dtype : {core::Float32, core::Float64}) {
t::geometry::PointCloud source_pcd(device), target_pcd(device);
core::Tensor corres;
std::tie(source_pcd, target_pcd, corres) =
GetTestPointCloudsAndCorrespondences(dtype, device);
t::pipelines::registration::TransformationEstimationPointToPoint
estimation_p2p;
// Get transform.
core::Tensor p2p_transform = estimation_p2p.ComputeTransformation(
source_pcd, target_pcd, corres);
// Apply transform.
t::geometry::PointCloud source_transformed_p2p = source_pcd.Clone();
source_transformed_p2p.Transform(p2p_transform);
double p2p_rmse_ = estimation_p2p.ComputeRMSE(source_transformed_p2p,
target_pcd, corres);
// Compare the new RMSE after transformation.
EXPECT_NEAR(p2p_rmse_, 0.578255, 0.0001);
}
}
TEST_P(TransformationEstimationPermuteDevices, ComputeRMSEPointToPlane) {
core::Device device = GetParam();
for (auto dtype : {core::Float32, core::Float64}) {
t::geometry::PointCloud source_pcd(device), target_pcd(device);
core::Tensor corres;
std::tie(source_pcd, target_pcd, corres) =
GetTestPointCloudsAndCorrespondences(dtype, device);
t::pipelines::registration::TransformationEstimationPointToPlane
estimation_p2plane;
double p2plane_rmse =
estimation_p2plane.ComputeRMSE(source_pcd, target_pcd, corres);
EXPECT_NEAR(p2plane_rmse, 0.335499, 0.0001);
}
}
TEST_P(TransformationEstimationPermuteDevices,
ComputeTransformationPointToPlane) {
core::Device device = GetParam();
for (auto dtype : {core::Float32, core::Float64}) {
t::geometry::PointCloud source_pcd(device), target_pcd(device);
core::Tensor corres;
std::tie(source_pcd, target_pcd, corres) =
GetTestPointCloudsAndCorrespondences(dtype, device);
t::pipelines::registration::TransformationEstimationPointToPlane
estimation_p2plane;
// Get transform.
core::Tensor p2plane_transform =
estimation_p2plane.ComputeTransformation(source_pcd, target_pcd,
corres);
// Apply transform.
t::geometry::PointCloud source_transformed_p2plane = source_pcd.Clone();
source_transformed_p2plane.Transform(p2plane_transform);
double p2plane_rmse_ = estimation_p2plane.ComputeRMSE(
source_transformed_p2plane, target_pcd, corres);
// Compare the new RMSE after transformation.
EXPECT_NEAR(p2plane_rmse_, 0.601422, 0.0001);
}
}
} // namespace tests
} // namespace open3d
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