mirror of
https://github.com/ceres-solver/ceres-solver.git
synced 2026-08-29 08:34:37 +08:00
b0aef211db
Change-Id: I32df7afab3a195efb0407b0d8f35dcd2d7cb95d2
945 lines
32 KiB
C++
945 lines
32 KiB
C++
// Ceres Solver - A fast non-linear least squares minimizer
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// Copyright 2022 Google Inc. All rights reserved.
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// http://ceres-solver.org/
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//
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// Redistribution and use in source and binary forms, with or without
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// modification, are permitted provided that the following conditions are met:
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//
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// * Redistributions of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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// * Redistributions in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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// * Neither the name of Google Inc. nor the names of its contributors may be
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// used to endorse or promote products derived from this software without
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// specific prior written permission.
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//
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// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
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// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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// POSSIBILITY OF SUCH DAMAGE.
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//
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// Author: sameeragarwal@google.com (Sameer Agarwal)
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#include "ceres/manifold.h"
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#include <cmath>
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#include <limits>
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#include <memory>
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#include "Eigen/Geometry"
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#include "ceres/dynamic_numeric_diff_cost_function.h"
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#include "ceres/internal/eigen.h"
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#include "ceres/internal/port.h"
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#include "ceres/line_manifold.h"
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#include "ceres/manifold_test_utils.h"
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#include "ceres/numeric_diff_options.h"
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#include "ceres/product_manifold.h"
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#include "ceres/rotation.h"
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#include "ceres/sphere_manifold.h"
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#include "ceres/types.h"
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#include "gmock/gmock.h"
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#include "gtest/gtest.h"
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namespace ceres {
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namespace internal {
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constexpr int kNumTrials = 1000;
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constexpr double kTolerance = 1e-9;
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TEST(EuclideanManifold, StaticNormalFunctionTest) {
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EuclideanManifold<3> manifold;
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EXPECT_EQ(manifold.AmbientSize(), 3);
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EXPECT_EQ(manifold.TangentSize(), 3);
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Vector zero_tangent = Vector::Zero(manifold.TangentSize());
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for (int trial = 0; trial < kNumTrials; ++trial) {
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const Vector x = Vector::Random(manifold.AmbientSize());
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const Vector y = Vector::Random(manifold.AmbientSize());
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Vector delta = Vector::Random(manifold.TangentSize());
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Vector x_plus_delta = Vector::Zero(manifold.AmbientSize());
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manifold.Plus(x.data(), delta.data(), x_plus_delta.data());
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EXPECT_NEAR((x_plus_delta - x - delta).norm() / (x + delta).norm(),
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0.0,
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kTolerance);
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EXPECT_THAT_MANIFOLD_INVARIANTS_HOLD(manifold, x, delta, y, kTolerance);
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}
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}
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TEST(EuclideanManifold, DynamicNormalFunctionTest) {
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EuclideanManifold<DYNAMIC> manifold(3);
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EXPECT_EQ(manifold.AmbientSize(), 3);
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EXPECT_EQ(manifold.TangentSize(), 3);
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Vector zero_tangent = Vector::Zero(manifold.TangentSize());
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for (int trial = 0; trial < kNumTrials; ++trial) {
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const Vector x = Vector::Random(manifold.AmbientSize());
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const Vector y = Vector::Random(manifold.AmbientSize());
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Vector delta = Vector::Random(manifold.TangentSize());
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Vector x_plus_delta = Vector::Zero(manifold.AmbientSize());
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manifold.Plus(x.data(), delta.data(), x_plus_delta.data());
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EXPECT_NEAR((x_plus_delta - x - delta).norm() / (x + delta).norm(),
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0.0,
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kTolerance);
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EXPECT_THAT_MANIFOLD_INVARIANTS_HOLD(manifold, x, delta, y, kTolerance);
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}
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}
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TEST(SubsetManifold, EmptyConstantParameters) {
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SubsetManifold manifold(3, {});
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for (int trial = 0; trial < kNumTrials; ++trial) {
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const Vector x = Vector::Random(3);
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const Vector y = Vector::Random(3);
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Vector delta = Vector::Random(3);
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Vector x_plus_delta = Vector::Zero(3);
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manifold.Plus(x.data(), delta.data(), x_plus_delta.data());
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EXPECT_NEAR((x_plus_delta - x - delta).norm() / (x + delta).norm(),
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0.0,
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kTolerance);
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EXPECT_THAT_MANIFOLD_INVARIANTS_HOLD(manifold, x, delta, y, kTolerance);
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}
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}
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TEST(SubsetManifold, NegativeParameterIndexDeathTest) {
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EXPECT_DEATH_IF_SUPPORTED(SubsetManifold manifold(2, {-1}),
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"greater than equal to zero");
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}
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TEST(SubsetManifold, GreaterThanSizeParameterIndexDeathTest) {
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EXPECT_DEATH_IF_SUPPORTED(SubsetManifold manifold(2, {2}),
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"less than the size");
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}
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TEST(SubsetManifold, DuplicateParametersDeathTest) {
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EXPECT_DEATH_IF_SUPPORTED(SubsetManifold manifold(2, {1, 1}), "duplicates");
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}
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TEST(SubsetManifold, NormalFunctionTest) {
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const int kAmbientSize = 4;
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const int kTangentSize = 3;
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for (int i = 0; i < kAmbientSize; ++i) {
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SubsetManifold manifold_with_ith_parameter_constant(kAmbientSize, {i});
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for (int trial = 0; trial < kNumTrials; ++trial) {
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const Vector x = Vector::Random(kAmbientSize);
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Vector y = Vector::Random(kAmbientSize);
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// x and y must have the same i^th coordinate to be on the manifold.
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y[i] = x[i];
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Vector delta = Vector::Random(kTangentSize);
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Vector x_plus_delta = Vector::Zero(kAmbientSize);
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x_plus_delta.setZero();
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manifold_with_ith_parameter_constant.Plus(
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x.data(), delta.data(), x_plus_delta.data());
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int k = 0;
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for (int j = 0; j < kAmbientSize; ++j) {
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if (j == i) {
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EXPECT_EQ(x_plus_delta[j], x[j]);
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} else {
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EXPECT_EQ(x_plus_delta[j], x[j] + delta[k++]);
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}
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}
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EXPECT_THAT_MANIFOLD_INVARIANTS_HOLD(
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manifold_with_ith_parameter_constant, x, delta, y, kTolerance);
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}
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}
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}
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TEST(ProductManifold, Size2) {
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SubsetManifold manifold1(5, {2});
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SubsetManifold manifold2(3, {0, 1});
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ProductManifold<SubsetManifold, SubsetManifold> manifold(manifold1,
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manifold2);
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EXPECT_EQ(manifold.AmbientSize(),
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manifold1.AmbientSize() + manifold2.AmbientSize());
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EXPECT_EQ(manifold.TangentSize(),
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manifold1.TangentSize() + manifold2.TangentSize());
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}
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TEST(ProductManifold, Size3) {
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SubsetManifold manifold1(5, {2});
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SubsetManifold manifold2(3, {0, 1});
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SubsetManifold manifold3(4, {1});
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ProductManifold<SubsetManifold, SubsetManifold, SubsetManifold> manifold(
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manifold1, manifold2, manifold3);
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EXPECT_EQ(manifold.AmbientSize(),
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manifold1.AmbientSize() + manifold2.AmbientSize() +
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manifold3.AmbientSize());
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EXPECT_EQ(manifold.TangentSize(),
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manifold1.TangentSize() + manifold2.TangentSize() +
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manifold3.TangentSize());
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}
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TEST(ProductManifold, Size4) {
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SubsetManifold manifold1(5, {2});
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SubsetManifold manifold2(3, {0, 1});
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SubsetManifold manifold3(4, {1});
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SubsetManifold manifold4(2, {0});
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ProductManifold<SubsetManifold,
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SubsetManifold,
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SubsetManifold,
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SubsetManifold>
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manifold(manifold1, manifold2, manifold3, manifold4);
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EXPECT_EQ(manifold.AmbientSize(),
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manifold1.AmbientSize() + manifold2.AmbientSize() +
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manifold3.AmbientSize() + manifold4.AmbientSize());
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EXPECT_EQ(manifold.TangentSize(),
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manifold1.TangentSize() + manifold2.TangentSize() +
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manifold3.TangentSize() + manifold4.TangentSize());
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}
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TEST(ProductManifold, NormalFunctionTest) {
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SubsetManifold manifold1(5, {2});
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SubsetManifold manifold2(3, {0, 1});
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SubsetManifold manifold3(4, {1});
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SubsetManifold manifold4(2, {0});
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ProductManifold<SubsetManifold,
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SubsetManifold,
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SubsetManifold,
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SubsetManifold>
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manifold(manifold1, manifold2, manifold3, manifold4);
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for (int trial = 0; trial < kNumTrials; ++trial) {
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const Vector x = Vector::Random(manifold.AmbientSize());
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Vector delta = Vector::Random(manifold.TangentSize());
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Vector x_plus_delta = Vector::Zero(manifold.AmbientSize());
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Vector x_plus_delta_expected = Vector::Zero(manifold.AmbientSize());
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EXPECT_TRUE(manifold.Plus(x.data(), delta.data(), x_plus_delta.data()));
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int ambient_cursor = 0;
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int tangent_cursor = 0;
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EXPECT_TRUE(manifold1.Plus(&x[ambient_cursor],
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&delta[tangent_cursor],
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&x_plus_delta_expected[ambient_cursor]));
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ambient_cursor += manifold1.AmbientSize();
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tangent_cursor += manifold1.TangentSize();
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EXPECT_TRUE(manifold2.Plus(&x[ambient_cursor],
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&delta[tangent_cursor],
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&x_plus_delta_expected[ambient_cursor]));
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ambient_cursor += manifold2.AmbientSize();
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tangent_cursor += manifold2.TangentSize();
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EXPECT_TRUE(manifold3.Plus(&x[ambient_cursor],
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&delta[tangent_cursor],
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&x_plus_delta_expected[ambient_cursor]));
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ambient_cursor += manifold3.AmbientSize();
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tangent_cursor += manifold3.TangentSize();
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EXPECT_TRUE(manifold4.Plus(&x[ambient_cursor],
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&delta[tangent_cursor],
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&x_plus_delta_expected[ambient_cursor]));
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ambient_cursor += manifold4.AmbientSize();
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tangent_cursor += manifold4.TangentSize();
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for (int i = 0; i < x.size(); ++i) {
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EXPECT_EQ(x_plus_delta[i], x_plus_delta_expected[i]);
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}
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EXPECT_THAT_MANIFOLD_INVARIANTS_HOLD(
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manifold, x, delta, x_plus_delta, kTolerance);
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}
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}
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TEST(ProductManifold, ZeroTangentSizeAndEuclidean) {
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SubsetManifold subset_manifold(1, {0});
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EuclideanManifold<2> euclidean_manifold;
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ProductManifold<SubsetManifold, EuclideanManifold<2>> manifold(
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subset_manifold, euclidean_manifold);
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EXPECT_EQ(manifold.AmbientSize(), 3);
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EXPECT_EQ(manifold.TangentSize(), 2);
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for (int trial = 0; trial < kNumTrials; ++trial) {
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const Vector x = Vector::Random(3);
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Vector y = Vector::Random(3);
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y[0] = x[0];
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Vector delta = Vector::Random(2);
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Vector x_plus_delta = Vector::Zero(3);
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EXPECT_TRUE(manifold.Plus(x.data(), delta.data(), x_plus_delta.data()));
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EXPECT_EQ(x_plus_delta[0], x[0]);
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EXPECT_EQ(x_plus_delta[1], x[1] + delta[0]);
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EXPECT_EQ(x_plus_delta[2], x[2] + delta[1]);
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EXPECT_THAT_MANIFOLD_INVARIANTS_HOLD(manifold, x, delta, y, kTolerance);
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}
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}
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TEST(ProductManifold, EuclideanAndZeroTangentSize) {
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SubsetManifold subset_manifold(1, {0});
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EuclideanManifold<2> euclidean_manifold;
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ProductManifold<EuclideanManifold<2>, SubsetManifold> manifold(
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euclidean_manifold, subset_manifold);
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EXPECT_EQ(manifold.AmbientSize(), 3);
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EXPECT_EQ(manifold.TangentSize(), 2);
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for (int trial = 0; trial < kNumTrials; ++trial) {
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const Vector x = Vector::Random(3);
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Vector y = Vector::Random(3);
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y[2] = x[2];
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Vector delta = Vector::Random(2);
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Vector x_plus_delta = Vector::Zero(3);
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EXPECT_TRUE(manifold.Plus(x.data(), delta.data(), x_plus_delta.data()));
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EXPECT_EQ(x_plus_delta[0], x[0] + delta[0]);
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EXPECT_EQ(x_plus_delta[1], x[1] + delta[1]);
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EXPECT_EQ(x_plus_delta[2], x[2]);
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EXPECT_THAT_MANIFOLD_INVARIANTS_HOLD(manifold, x, delta, y, kTolerance);
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}
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}
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struct CopyableManifold : ceres::Manifold {
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CopyableManifold() = default;
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CopyableManifold(const CopyableManifold&) = default;
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// Do not care about copy-assignment
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CopyableManifold& operator=(const CopyableManifold&) = delete;
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// Not moveable
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CopyableManifold(CopyableManifold&&) = delete;
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CopyableManifold& operator=(CopyableManifold&&) = delete;
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int AmbientSize() const override { return 3; }
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int TangentSize() const override { return 2; }
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bool Plus(const double* x,
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const double* delta,
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double* x_plus_delta) const override {
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return true;
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}
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bool PlusJacobian(const double* x, double* jacobian) const override {
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return true;
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}
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bool RightMultiplyByPlusJacobian(const double* x,
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const int num_rows,
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const double* ambient_matrix,
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double* tangent_matrix) const override {
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return true;
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}
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bool Minus(const double* y,
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const double* x,
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double* y_minus_x) const override {
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return true;
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}
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bool MinusJacobian(const double* x, double* jacobian) const override {
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return true;
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}
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};
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struct MoveableManifold : ceres::Manifold {
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MoveableManifold() = default;
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MoveableManifold(MoveableManifold&&) = default;
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// Do not care about move-assignment
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MoveableManifold& operator=(MoveableManifold&&) = delete;
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// Not copyable
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MoveableManifold(const MoveableManifold&) = delete;
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MoveableManifold& operator=(const MoveableManifold&) = delete;
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int AmbientSize() const override { return 3; }
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int TangentSize() const override { return 2; }
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bool Plus(const double* x,
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const double* delta,
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double* x_plus_delta) const override {
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return true;
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}
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bool PlusJacobian(const double* x, double* jacobian) const override {
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return true;
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}
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bool RightMultiplyByPlusJacobian(const double* x,
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const int num_rows,
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const double* ambient_matrix,
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double* tangent_matrix) const override {
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return true;
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}
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bool Minus(const double* y,
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const double* x,
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double* y_minus_x) const override {
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return true;
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}
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bool MinusJacobian(const double* x, double* jacobian) const override {
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return true;
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}
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};
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TEST(ProductManifold, CopyableOnly) {
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ProductManifold<CopyableManifold, EuclideanManifold<3>> manifold1{
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CopyableManifold{}, EuclideanManifold<3>{}};
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CopyableManifold inner2;
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ProductManifold<CopyableManifold, EuclideanManifold<3>> manifold2{
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inner2, EuclideanManifold<3>{}};
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EXPECT_EQ(manifold1.AmbientSize(), manifold2.AmbientSize());
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EXPECT_EQ(manifold1.TangentSize(), manifold2.TangentSize());
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}
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TEST(ProductManifold, MoveableOnly) {
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ProductManifold<MoveableManifold, EuclideanManifold<3>> manifold1{
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MoveableManifold{}, EuclideanManifold<3>{}};
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MoveableManifold inner2;
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ProductManifold<MoveableManifold, EuclideanManifold<3>> manifold2{
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std::move(inner2), EuclideanManifold<3>{}};
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EXPECT_EQ(manifold1.AmbientSize(), manifold2.AmbientSize());
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EXPECT_EQ(manifold1.TangentSize(), manifold2.TangentSize());
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}
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TEST(ProductManifold, CopyableOrMoveable) {
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const CopyableManifold inner12{};
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ProductManifold<MoveableManifold, CopyableManifold> manifold1{
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MoveableManifold{}, inner12};
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MoveableManifold inner21;
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CopyableManifold inner22;
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ProductManifold<MoveableManifold, CopyableManifold> manifold2{
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std::move(inner21), inner22};
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EXPECT_EQ(manifold1.AmbientSize(), manifold2.AmbientSize());
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EXPECT_EQ(manifold1.TangentSize(), manifold2.TangentSize());
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}
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struct NonDefaultConstructibleManifold : ceres::Manifold {
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NonDefaultConstructibleManifold(int, int) {}
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int AmbientSize() const override { return 4; }
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int TangentSize() const override { return 3; }
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bool Plus(const double* x,
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const double* delta,
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double* x_plus_delta) const override {
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return true;
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}
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bool PlusJacobian(const double* x, double* jacobian) const override {
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return true;
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}
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bool RightMultiplyByPlusJacobian(const double* x,
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const int num_rows,
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const double* ambient_matrix,
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double* tangent_matrix) const override {
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return true;
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}
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bool Minus(const double* y,
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const double* x,
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double* y_minus_x) const override {
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return true;
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}
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bool MinusJacobian(const double* x, double* jacobian) const override {
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return true;
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}
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};
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TEST(ProductManifold, NonDefaultConstructible) {
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ProductManifold<NonDefaultConstructibleManifold, QuaternionManifold>
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manifold1{NonDefaultConstructibleManifold{1, 2}, QuaternionManifold{}};
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ProductManifold<QuaternionManifold, NonDefaultConstructibleManifold>
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manifold2{QuaternionManifold{}, NonDefaultConstructibleManifold{1, 2}};
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EXPECT_EQ(manifold1.AmbientSize(), manifold2.AmbientSize());
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EXPECT_EQ(manifold1.TangentSize(), manifold2.TangentSize());
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}
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|
|
|
TEST(ProductManifold, DefaultConstructible) {
|
|
ProductManifold<EuclideanManifold<3>, SphereManifold<4>> manifold1;
|
|
ProductManifold<SphereManifold<4>, EuclideanManifold<3>> manifold2;
|
|
|
|
EXPECT_EQ(manifold1.AmbientSize(), manifold2.AmbientSize());
|
|
EXPECT_EQ(manifold1.TangentSize(), manifold2.TangentSize());
|
|
}
|
|
|
|
TEST(ProductManifold, Pointers) {
|
|
auto p = std::make_unique<QuaternionManifold>();
|
|
auto q = std::make_shared<EuclideanManifold<3>>();
|
|
|
|
ProductManifold<std::unique_ptr<Manifold>,
|
|
EuclideanManifold<3>,
|
|
std::shared_ptr<EuclideanManifold<3>>>
|
|
manifold1{
|
|
std::make_unique<QuaternionManifold>(), EuclideanManifold<3>{}, q};
|
|
ProductManifold<QuaternionManifold*,
|
|
EuclideanManifold<3>,
|
|
std::shared_ptr<EuclideanManifold<3>>>
|
|
manifold2{p.get(), EuclideanManifold<3>{}, q};
|
|
|
|
EXPECT_EQ(manifold1.AmbientSize(), manifold2.AmbientSize());
|
|
EXPECT_EQ(manifold1.TangentSize(), manifold2.TangentSize());
|
|
}
|
|
|
|
TEST(QuaternionManifold, PlusPiBy2) {
|
|
QuaternionManifold manifold;
|
|
Vector x = Vector::Zero(4);
|
|
x[0] = 1.0;
|
|
|
|
for (int i = 0; i < 3; ++i) {
|
|
Vector delta = Vector::Zero(3);
|
|
delta[i] = M_PI / 2;
|
|
Vector x_plus_delta = Vector::Zero(4);
|
|
EXPECT_TRUE(manifold.Plus(x.data(), delta.data(), x_plus_delta.data()));
|
|
|
|
// Expect that the element corresponding to pi/2 is +/- 1. All other
|
|
// elements should be zero.
|
|
for (int j = 0; j < 4; ++j) {
|
|
if (i == (j - 1)) {
|
|
EXPECT_LT(std::abs(x_plus_delta[j]) - 1,
|
|
std::numeric_limits<double>::epsilon())
|
|
<< "\ndelta = " << delta.transpose()
|
|
<< "\nx_plus_delta = " << x_plus_delta.transpose()
|
|
<< "\n expected the " << j
|
|
<< "th element of x_plus_delta to be +/- 1.";
|
|
} else {
|
|
EXPECT_LT(std::abs(x_plus_delta[j]),
|
|
std::numeric_limits<double>::epsilon())
|
|
<< "\ndelta = " << delta.transpose()
|
|
<< "\nx_plus_delta = " << x_plus_delta.transpose()
|
|
<< "\n expected the " << j << "th element of x_plus_delta to be 0.";
|
|
}
|
|
}
|
|
EXPECT_THAT_MANIFOLD_INVARIANTS_HOLD(
|
|
manifold, x, delta, x_plus_delta, kTolerance);
|
|
}
|
|
}
|
|
|
|
// Compute the expected value of QuaternionManifold::Plus via functions in
|
|
// rotation.h and compares it to the one computed by QuaternionManifold::Plus.
|
|
MATCHER_P2(QuaternionManifoldPlusIsCorrectAt, x, delta, "") {
|
|
// This multiplication by 2 is needed because AngleAxisToQuaternion uses
|
|
// |delta|/2 as the angle of rotation where as in the implementation of
|
|
// QuaternionManifold for historical reasons we use |delta|.
|
|
const Vector two_delta = delta * 2;
|
|
Vector delta_q(4);
|
|
AngleAxisToQuaternion(two_delta.data(), delta_q.data());
|
|
|
|
Vector expected(4);
|
|
QuaternionProduct(delta_q.data(), x.data(), expected.data());
|
|
Vector actual(4);
|
|
EXPECT_TRUE(arg.Plus(x.data(), delta.data(), actual.data()));
|
|
|
|
const double n = (actual - expected).norm();
|
|
const double d = expected.norm();
|
|
const double diffnorm = n / d;
|
|
if (diffnorm > kTolerance) {
|
|
*result_listener << "\nx: " << x.transpose()
|
|
<< "\ndelta: " << delta.transpose()
|
|
<< "\nexpected: " << expected.transpose()
|
|
<< "\nactual: " << actual.transpose()
|
|
<< "\ndiff: " << (expected - actual).transpose()
|
|
<< "\ndiffnorm : " << diffnorm;
|
|
return false;
|
|
}
|
|
return true;
|
|
}
|
|
|
|
static Vector RandomQuaternion() {
|
|
Vector x = Vector::Random(4);
|
|
x.normalize();
|
|
return x;
|
|
}
|
|
|
|
TEST(QuaternionManifold, GenericDelta) {
|
|
QuaternionManifold manifold;
|
|
for (int trial = 0; trial < kNumTrials; ++trial) {
|
|
const Vector x = RandomQuaternion();
|
|
const Vector y = RandomQuaternion();
|
|
Vector delta = Vector::Random(3);
|
|
EXPECT_THAT(manifold, QuaternionManifoldPlusIsCorrectAt(x, delta));
|
|
EXPECT_THAT_MANIFOLD_INVARIANTS_HOLD(manifold, x, delta, y, kTolerance);
|
|
}
|
|
}
|
|
|
|
TEST(QuaternionManifold, SmallDelta) {
|
|
QuaternionManifold manifold;
|
|
for (int trial = 0; trial < kNumTrials; ++trial) {
|
|
const Vector x = RandomQuaternion();
|
|
const Vector y = RandomQuaternion();
|
|
Vector delta = Vector::Random(3);
|
|
delta.normalize();
|
|
delta *= 1e-6;
|
|
EXPECT_THAT(manifold, QuaternionManifoldPlusIsCorrectAt(x, delta));
|
|
EXPECT_THAT_MANIFOLD_INVARIANTS_HOLD(manifold, x, delta, y, kTolerance);
|
|
}
|
|
}
|
|
|
|
TEST(QuaternionManifold, DeltaJustBelowPi) {
|
|
QuaternionManifold manifold;
|
|
for (int trial = 0; trial < kNumTrials; ++trial) {
|
|
const Vector x = RandomQuaternion();
|
|
const Vector y = RandomQuaternion();
|
|
Vector delta = Vector::Random(3);
|
|
delta.normalize();
|
|
delta *= (M_PI - 1e-6);
|
|
EXPECT_THAT(manifold, QuaternionManifoldPlusIsCorrectAt(x, delta));
|
|
EXPECT_THAT_MANIFOLD_INVARIANTS_HOLD(manifold, x, delta, y, kTolerance);
|
|
}
|
|
}
|
|
|
|
// Compute the expected value of EigenQuaternionManifold::Plus using Eigen and
|
|
// compares it to the one computed by QuaternionManifold::Plus.
|
|
MATCHER_P2(EigenQuaternionManifoldPlusIsCorrectAt, x, delta, "") {
|
|
// This multiplication by 2 is needed because AngleAxisToQuaternion uses
|
|
// |delta|/2 as the angle of rotation where as in the implementation of
|
|
// Quaternion for historical reasons we use |delta|.
|
|
const Vector two_delta = delta * 2;
|
|
Vector delta_q(4);
|
|
AngleAxisToQuaternion(two_delta.data(), delta_q.data());
|
|
Eigen::Quaterniond delta_eigen_q(
|
|
delta_q[0], delta_q[1], delta_q[2], delta_q[3]);
|
|
|
|
Eigen::Map<const Eigen::Quaterniond> x_eigen_q(x.data());
|
|
|
|
Eigen::Quaterniond expected = delta_eigen_q * x_eigen_q;
|
|
double actual[4];
|
|
EXPECT_TRUE(arg.Plus(x.data(), delta.data(), actual));
|
|
Eigen::Map<Eigen::Quaterniond> actual_eigen_q(actual);
|
|
|
|
const double n = (actual_eigen_q.coeffs() - expected.coeffs()).norm();
|
|
const double d = expected.norm();
|
|
const double diffnorm = n / d;
|
|
if (diffnorm > kTolerance) {
|
|
*result_listener
|
|
<< "\nx: " << x.transpose() << "\ndelta: " << delta.transpose()
|
|
<< "\nexpected: " << expected.coeffs().transpose()
|
|
<< "\nactual: " << actual_eigen_q.coeffs().transpose() << "\ndiff: "
|
|
<< (expected.coeffs() - actual_eigen_q.coeffs()).transpose()
|
|
<< "\ndiffnorm : " << diffnorm;
|
|
return false;
|
|
}
|
|
return true;
|
|
}
|
|
|
|
TEST(EigenQuaternionManifold, GenericDelta) {
|
|
EigenQuaternionManifold manifold;
|
|
for (int trial = 0; trial < kNumTrials; ++trial) {
|
|
const Vector x = RandomQuaternion();
|
|
const Vector y = RandomQuaternion();
|
|
Vector delta = Vector::Random(3);
|
|
EXPECT_THAT(manifold, EigenQuaternionManifoldPlusIsCorrectAt(x, delta));
|
|
EXPECT_THAT_MANIFOLD_INVARIANTS_HOLD(manifold, x, delta, y, kTolerance);
|
|
}
|
|
}
|
|
|
|
TEST(EigenQuaternionManifold, SmallDelta) {
|
|
EigenQuaternionManifold manifold;
|
|
for (int trial = 0; trial < kNumTrials; ++trial) {
|
|
const Vector x = RandomQuaternion();
|
|
const Vector y = RandomQuaternion();
|
|
Vector delta = Vector::Random(3);
|
|
delta.normalize();
|
|
delta *= 1e-6;
|
|
EXPECT_THAT(manifold, EigenQuaternionManifoldPlusIsCorrectAt(x, delta));
|
|
EXPECT_THAT_MANIFOLD_INVARIANTS_HOLD(manifold, x, delta, y, kTolerance);
|
|
}
|
|
}
|
|
|
|
TEST(EigenQuaternionManifold, DeltaJustBelowPi) {
|
|
EigenQuaternionManifold manifold;
|
|
for (int trial = 0; trial < kNumTrials; ++trial) {
|
|
const Vector x = RandomQuaternion();
|
|
const Vector y = RandomQuaternion();
|
|
Vector delta = Vector::Random(3);
|
|
delta.normalize();
|
|
delta *= (M_PI - 1e-6);
|
|
EXPECT_THAT(manifold, EigenQuaternionManifoldPlusIsCorrectAt(x, delta));
|
|
EXPECT_THAT_MANIFOLD_INVARIANTS_HOLD(manifold, x, delta, y, kTolerance);
|
|
}
|
|
}
|
|
|
|
using Eigen::Vector2d;
|
|
using Eigen::Vector3d;
|
|
using Vector6d = Eigen::Matrix<double, 6, 1>;
|
|
|
|
// Ensure memory allocated using new in AVX2 builds is correctly aligned which
|
|
// is only guaranteed starting with C++17. Otherwise, use unaligned memory.
|
|
// This avoids a segmentation fault in tests that use
|
|
// EXPECT_THAT_MANIFOLD_INVARIANTS_HOLD and fixed-size Eigen vectors.
|
|
#ifdef CERES_HAS_CPP17
|
|
using Eigen::Vector4d;
|
|
using Vector8d = Eigen::Matrix<double, 8, 1>;
|
|
#else
|
|
using Vector4d = Eigen::Matrix<double, 4, 1, Eigen::DontAlign>;
|
|
using Vector8d = Eigen::Matrix<double, 8, 1, Eigen::DontAlign>;
|
|
#endif
|
|
|
|
TEST(SphereManifold, ZeroTest) {
|
|
Vector4d x{0.0, 0.0, 0.0, 1.0};
|
|
Vector3d delta = Vector3d::Zero();
|
|
Vector4d y = Vector4d::Zero();
|
|
|
|
SphereManifold<4> manifold;
|
|
manifold.Plus(x.data(), delta.data(), y.data());
|
|
EXPECT_THAT_MANIFOLD_INVARIANTS_HOLD(manifold, x, delta, y, kTolerance);
|
|
}
|
|
|
|
TEST(SphereManifold, NearZeroTest1) {
|
|
Vector4d x{1e-5, 1e-5, 1e-5, 1.0};
|
|
x.normalize();
|
|
Vector3d delta{0.0, 1.0, 0.0};
|
|
Vector4d y = Vector4d::Zero();
|
|
|
|
SphereManifold<4> manifold;
|
|
manifold.Plus(x.data(), delta.data(), y.data());
|
|
EXPECT_THAT_MANIFOLD_INVARIANTS_HOLD(manifold, x, delta, y, kTolerance);
|
|
}
|
|
|
|
TEST(SphereManifold, NearZeroTest2) {
|
|
Vector4d x{0.001, 0.0, 0.0, 0.0};
|
|
Vector3d delta{0.0, 1.0, 0.0};
|
|
Vector4d y = Vector4d::Zero();
|
|
SphereManifold<4> manifold;
|
|
manifold.Plus(x.data(), delta.data(), y.data());
|
|
EXPECT_THAT_MANIFOLD_INVARIANTS_HOLD(manifold, x, delta, y, kTolerance);
|
|
}
|
|
|
|
TEST(SphereManifold, Plus) {
|
|
Eigen::Vector3d x{0.0, 0.0, 1.0};
|
|
SphereManifold<3> manifold;
|
|
|
|
{
|
|
Eigen::Vector2d delta{M_PI, 0.0};
|
|
Eigen::Vector3d y = Eigen::Vector3d::Zero();
|
|
EXPECT_TRUE(manifold.Plus(x.data(), delta.data(), y.data()));
|
|
const Eigen::Vector3d gtY = Eigen::Vector3d::UnitX();
|
|
EXPECT_LT((y - gtY).norm(), kTolerance);
|
|
}
|
|
|
|
{
|
|
Eigen::Vector2d delta{0.0, M_PI};
|
|
Eigen::Vector3d y = Eigen::Vector3d::Zero();
|
|
EXPECT_TRUE(manifold.Plus(x.data(), delta.data(), y.data()));
|
|
const Eigen::Vector3d gtY = Eigen::Vector3d::UnitY();
|
|
EXPECT_LT((y - gtY).norm(), kTolerance);
|
|
}
|
|
|
|
{
|
|
Eigen::Vector2d delta = Eigen::Vector2d(1, 1).normalized() * M_PI;
|
|
Eigen::Vector3d y = Eigen::Vector3d::Zero();
|
|
EXPECT_TRUE(manifold.Plus(x.data(), delta.data(), y.data()));
|
|
const Eigen::Vector3d gtY(std::sqrt(2.0) / 2.0, std::sqrt(2.0) / 2.0, 0.0);
|
|
EXPECT_LT((y - gtY).norm(), kTolerance);
|
|
}
|
|
}
|
|
|
|
TEST(SphereManifold, DeathTests) {
|
|
EXPECT_DEATH_IF_SUPPORTED(SphereManifold<Eigen::Dynamic> x(1), "size");
|
|
}
|
|
|
|
TEST(SphereManifold, NormalFunctionTest) {
|
|
SphereManifold<4> manifold;
|
|
EXPECT_EQ(manifold.AmbientSize(), 4);
|
|
EXPECT_EQ(manifold.TangentSize(), 3);
|
|
|
|
Vector zero_tangent = Vector::Zero(manifold.TangentSize());
|
|
for (int trial = 0; trial < kNumTrials; ++trial) {
|
|
const Vector x = Vector::Random(manifold.AmbientSize());
|
|
Vector y = Vector::Random(manifold.AmbientSize());
|
|
Vector delta = Vector::Random(manifold.TangentSize());
|
|
|
|
if (x.norm() == 0.0 || y.norm() == 0.0) {
|
|
continue;
|
|
}
|
|
|
|
// X and y need to have the same length.
|
|
y *= x.norm() / y.norm();
|
|
|
|
EXPECT_THAT_MANIFOLD_INVARIANTS_HOLD(manifold, x, delta, y, kTolerance);
|
|
}
|
|
}
|
|
|
|
TEST(SphereManifold, NormalFunctionTestDynamic) {
|
|
SphereManifold<ceres::DYNAMIC> manifold(5);
|
|
EXPECT_EQ(manifold.AmbientSize(), 5);
|
|
EXPECT_EQ(manifold.TangentSize(), 4);
|
|
|
|
Vector zero_tangent = Vector::Zero(manifold.TangentSize());
|
|
for (int trial = 0; trial < kNumTrials; ++trial) {
|
|
const Vector x = Vector::Random(manifold.AmbientSize());
|
|
Vector y = Vector::Random(manifold.AmbientSize());
|
|
Vector delta = Vector::Random(manifold.TangentSize());
|
|
|
|
if (x.norm() == 0.0 || y.norm() == 0.0) {
|
|
continue;
|
|
}
|
|
|
|
// X and y need to have the same length.
|
|
y *= x.norm() / y.norm();
|
|
|
|
EXPECT_THAT_MANIFOLD_INVARIANTS_HOLD(manifold, x, delta, y, kTolerance);
|
|
}
|
|
}
|
|
|
|
TEST(LineManifold, ZeroTest3D) {
|
|
const Vector6d x = Vector6d::Unit(5);
|
|
const Vector4d delta = Vector4d::Zero();
|
|
Vector6d y = Vector6d::Zero();
|
|
|
|
LineManifold<3> manifold;
|
|
EXPECT_TRUE(manifold.Plus(x.data(), delta.data(), y.data()));
|
|
EXPECT_THAT_MANIFOLD_INVARIANTS_HOLD(manifold, x, delta, y, kTolerance);
|
|
}
|
|
|
|
TEST(LineManifold, ZeroTest4D) {
|
|
const Vector8d x = Vector8d::Unit(7);
|
|
const Vector6d delta = Vector6d::Zero();
|
|
Vector8d y = Vector8d::Zero();
|
|
|
|
LineManifold<4> manifold;
|
|
EXPECT_TRUE(manifold.Plus(x.data(), delta.data(), y.data()));
|
|
EXPECT_THAT_MANIFOLD_INVARIANTS_HOLD(manifold, x, delta, y, kTolerance);
|
|
}
|
|
|
|
TEST(LineManifold, ZeroOriginPointTest3D) {
|
|
const Vector6d x = Vector6d::Unit(5);
|
|
Vector4d delta;
|
|
delta << 0.0, 0.0, 1.0, 2.0;
|
|
Vector6d y = Vector6d::Zero();
|
|
|
|
LineManifold<3> manifold;
|
|
EXPECT_TRUE(manifold.Plus(x.data(), delta.data(), y.data()));
|
|
EXPECT_THAT_MANIFOLD_INVARIANTS_HOLD(manifold, x, delta, y, kTolerance);
|
|
}
|
|
|
|
TEST(LineManifold, ZeroOriginPointTest4D) {
|
|
const Vector8d x = Vector8d::Unit(7);
|
|
Vector6d delta;
|
|
delta << 0.0, 0.0, 0.0, 1.0, 2.0, 3.0;
|
|
Vector8d y = Vector8d::Zero();
|
|
|
|
LineManifold<4> manifold;
|
|
EXPECT_TRUE(manifold.Plus(x.data(), delta.data(), y.data()));
|
|
EXPECT_THAT_MANIFOLD_INVARIANTS_HOLD(manifold, x, delta, y, kTolerance);
|
|
}
|
|
|
|
TEST(LineManifold, ZeroDirTest3D) {
|
|
Vector6d x = Vector6d::Unit(5);
|
|
Vector4d delta;
|
|
delta << 3.0, 2.0, 0.0, 0.0;
|
|
Vector6d y = Vector6d::Zero();
|
|
|
|
LineManifold<3> manifold;
|
|
EXPECT_TRUE(manifold.Plus(x.data(), delta.data(), y.data()));
|
|
EXPECT_THAT_MANIFOLD_INVARIANTS_HOLD(manifold, x, delta, y, kTolerance);
|
|
}
|
|
|
|
TEST(LineManifold, ZeroDirTest4D) {
|
|
Vector8d x = Vector8d::Unit(7);
|
|
Vector6d delta;
|
|
delta << 3.0, 2.0, 1.0, 0.0, 0.0, 0.0;
|
|
Vector8d y = Vector8d::Zero();
|
|
|
|
LineManifold<4> manifold;
|
|
EXPECT_TRUE(manifold.Plus(x.data(), delta.data(), y.data()));
|
|
EXPECT_THAT_MANIFOLD_INVARIANTS_HOLD(manifold, x, delta, y, kTolerance);
|
|
}
|
|
|
|
TEST(LineManifold, Plus) {
|
|
Vector6d x = Vector6d::Unit(5);
|
|
LineManifold<3> manifold;
|
|
|
|
{
|
|
Vector4d delta{0.0, 4.0, M_PI, 0.0};
|
|
Vector6d y = Vector6d::Random();
|
|
EXPECT_TRUE(manifold.Plus(x.data(), delta.data(), y.data()));
|
|
Vector6d gtY;
|
|
gtY << 2.0 * Vector3d::UnitY(), Vector3d::UnitX();
|
|
EXPECT_LT((y - gtY).norm(), kTolerance);
|
|
}
|
|
|
|
{
|
|
Vector4d delta{6.0, 0.0, 0.0, M_PI};
|
|
Vector6d y = Vector6d::Zero();
|
|
EXPECT_TRUE(manifold.Plus(x.data(), delta.data(), y.data()));
|
|
Vector6d gtY;
|
|
gtY << 3.0 * Vector3d::UnitX(), Vector3d::UnitY();
|
|
EXPECT_LT((y - gtY).norm(), kTolerance);
|
|
}
|
|
|
|
{
|
|
Vector4d delta;
|
|
delta << Vector2d(2.0, 4.0), Vector2d(1, 1).normalized() * M_PI;
|
|
Vector6d y = Vector6d::Zero();
|
|
EXPECT_TRUE(manifold.Plus(x.data(), delta.data(), y.data()));
|
|
Vector6d gtY;
|
|
gtY << Vector3d(1.0, 2.0, 0.0),
|
|
Vector3d(std::sqrt(2.0) / 2.0, std::sqrt(2.0) / 2.0, 0.0);
|
|
EXPECT_LT((y - gtY).norm(), kTolerance);
|
|
}
|
|
}
|
|
|
|
TEST(LineManifold, NormalFunctionTest) {
|
|
LineManifold<3> manifold;
|
|
EXPECT_EQ(manifold.AmbientSize(), 6);
|
|
EXPECT_EQ(manifold.TangentSize(), 4);
|
|
|
|
Vector zero_tangent = Vector::Zero(manifold.TangentSize());
|
|
for (int trial = 0; trial < kNumTrials; ++trial) {
|
|
Vector x = Vector::Random(manifold.AmbientSize());
|
|
Vector y = Vector::Random(manifold.AmbientSize());
|
|
Vector delta = Vector::Random(manifold.TangentSize());
|
|
|
|
if (x.tail<3>().norm() == 0.0) {
|
|
continue;
|
|
}
|
|
|
|
x.tail<3>().normalize();
|
|
manifold.Plus(x.data(), delta.data(), y.data());
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|
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EXPECT_THAT_MANIFOLD_INVARIANTS_HOLD(manifold, x, delta, y, kTolerance);
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}
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}
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TEST(LineManifold, NormalFunctionTestDynamic) {
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LineManifold<ceres::DYNAMIC> manifold(3);
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EXPECT_EQ(manifold.AmbientSize(), 6);
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EXPECT_EQ(manifold.TangentSize(), 4);
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|
|
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Vector zero_tangent = Vector::Zero(manifold.TangentSize());
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for (int trial = 0; trial < kNumTrials; ++trial) {
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Vector x = Vector::Random(manifold.AmbientSize());
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Vector y = Vector::Random(manifold.AmbientSize());
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Vector delta = Vector::Random(manifold.TangentSize());
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|
|
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if (x.tail<3>().norm() == 0.0) {
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continue;
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|
}
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|
|
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x.tail<3>().normalize();
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manifold.Plus(x.data(), delta.data(), y.data());
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|
|
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EXPECT_THAT_MANIFOLD_INVARIANTS_HOLD(manifold, x, delta, y, kTolerance);
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}
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|
}
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|
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} // namespace internal
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} // namespace ceres
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