Merge pull request #1120 from borglab/ta-seed
Using a random number generator in translation averagingrelease/4.3a0
commit
a0d64a9448
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@ -300,6 +300,7 @@ class GTSAM_EXPORT ShonanAveraging {
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/**
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* Create initial Values of type SO(p)
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* @param p the dimensionality of the rotation manifold
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* @param rng random number generator
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*/
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Values initializeRandomlyAt(size_t p, std::mt19937 &rng) const;
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@ -35,6 +35,9 @@
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using namespace gtsam;
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using namespace std;
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// In Wrappers we have no access to this so have a default ready.
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static std::mt19937 kRandomNumberGenerator(42);
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TranslationRecovery::TranslationRecovery(
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const TranslationRecovery::TranslationEdges &relativeTranslations,
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const LevenbergMarquardtParams &lmParams)
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@ -88,13 +91,15 @@ void TranslationRecovery::addPrior(
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edge->key2(), scale * edge->measured().point3(), edge->noiseModel());
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}
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Values TranslationRecovery::initalizeRandomly() const {
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Values TranslationRecovery::initializeRandomly(std::mt19937 *rng) const {
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uniform_real_distribution<double> randomVal(-1, 1);
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// Create a lambda expression that checks whether value exists and randomly
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// initializes if not.
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Values initial;
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auto insert = [&initial](Key j) {
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auto insert = [&](Key j) {
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if (!initial.exists(j)) {
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initial.insert<Point3>(j, Vector3::Random());
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initial.insert<Point3>(
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j, Point3(randomVal(*rng), randomVal(*rng), randomVal(*rng)));
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}
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};
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@ -115,10 +120,14 @@ Values TranslationRecovery::initalizeRandomly() const {
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return initial;
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}
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Values TranslationRecovery::initializeRandomly() const {
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return initializeRandomly(&kRandomNumberGenerator);
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}
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Values TranslationRecovery::run(const double scale) const {
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auto graph = buildGraph();
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addPrior(scale, &graph);
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const Values initial = initalizeRandomly();
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const Values initial = initializeRandomly();
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LevenbergMarquardtOptimizer lm(graph, initial, params_);
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Values result = lm.optimize();
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@ -16,18 +16,16 @@
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* @brief Recovering translations in an epipolar graph when rotations are given.
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*/
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#pragma once
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#include <gtsam/geometry/Unit3.h>
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#include <gtsam/nonlinear/LevenbergMarquardtOptimizer.h>
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#include <gtsam/nonlinear/Values.h>
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#include <gtsam/sfm/BinaryMeasurement.h>
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#include <map>
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#include <set>
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#include <utility>
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#include <vector>
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#include <gtsam/geometry/Unit3.h>
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#include <gtsam/nonlinear/LevenbergMarquardtOptimizer.h>
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#include <gtsam/nonlinear/Values.h>
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#include <gtsam/sfm/BinaryMeasurement.h>
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namespace gtsam {
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// Set up an optimization problem for the unknown translations Ti in the world
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@ -102,9 +100,17 @@ class TranslationRecovery {
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/**
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* @brief Create random initial translations.
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*
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* @param rng random number generator
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* @return Values
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*/
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Values initalizeRandomly() const;
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Values initializeRandomly(std::mt19937 *rng) const;
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/**
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* @brief Version of initializeRandomly with a fixed seed.
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*
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* @return Values
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*/
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Values initializeRandomly() const;
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/**
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* @brief Build and optimize factor graph.
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@ -115,8 +115,8 @@ TEST(TranslationRecovery, TwoPoseTest) {
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const auto result = algorithm.run(/*scale=*/3.0);
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// Check result for first two translations, determined by prior
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EXPECT(assert_equal(Point3(0, 0, 0), result.at<Point3>(0)));
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EXPECT(assert_equal(Point3(3, 0, 0), result.at<Point3>(1)));
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EXPECT(assert_equal(Point3(0, 0, 0), result.at<Point3>(0), 1e-8));
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EXPECT(assert_equal(Point3(3, 0, 0), result.at<Point3>(1), 1e-8));
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}
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TEST(TranslationRecovery, ThreePoseTest) {
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@ -152,9 +152,9 @@ TEST(TranslationRecovery, ThreePoseTest) {
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const auto result = algorithm.run(/*scale=*/3.0);
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// Check result
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EXPECT(assert_equal(Point3(0, 0, 0), result.at<Point3>(0)));
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EXPECT(assert_equal(Point3(3, 0, 0), result.at<Point3>(1)));
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EXPECT(assert_equal(Point3(1.5, -1.5, 0), result.at<Point3>(3)));
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EXPECT(assert_equal(Point3(0, 0, 0), result.at<Point3>(0), 1e-8));
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EXPECT(assert_equal(Point3(3, 0, 0), result.at<Point3>(1), 1e-8));
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EXPECT(assert_equal(Point3(1.5, -1.5, 0), result.at<Point3>(3), 1e-8));
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}
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TEST(TranslationRecovery, ThreePosesIncludingZeroTranslation) {
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@ -189,9 +189,9 @@ TEST(TranslationRecovery, ThreePosesIncludingZeroTranslation) {
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const auto result = algorithm.run(/*scale=*/3.0);
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// Check result
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EXPECT(assert_equal(Point3(0, 0, 0), result.at<Point3>(0)));
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EXPECT(assert_equal(Point3(3, 0, 0), result.at<Point3>(1)));
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EXPECT(assert_equal(Point3(3, 0, 0), result.at<Point3>(2)));
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EXPECT(assert_equal(Point3(0, 0, 0), result.at<Point3>(0), 1e-8));
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EXPECT(assert_equal(Point3(3, 0, 0), result.at<Point3>(1), 1e-8));
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EXPECT(assert_equal(Point3(3, 0, 0), result.at<Point3>(2), 1e-8));
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}
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TEST(TranslationRecovery, FourPosesIncludingZeroTranslation) {
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@ -230,10 +230,10 @@ TEST(TranslationRecovery, FourPosesIncludingZeroTranslation) {
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const auto result = algorithm.run(/*scale=*/4.0);
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// Check result
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EXPECT(assert_equal(Point3(0, 0, 0), result.at<Point3>(0)));
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EXPECT(assert_equal(Point3(4, 0, 0), result.at<Point3>(1)));
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EXPECT(assert_equal(Point3(4, 0, 0), result.at<Point3>(2)));
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EXPECT(assert_equal(Point3(2, -2, 0), result.at<Point3>(3)));
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EXPECT(assert_equal(Point3(0, 0, 0), result.at<Point3>(0), 1e-8));
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EXPECT(assert_equal(Point3(4, 0, 0), result.at<Point3>(1), 1e-8));
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EXPECT(assert_equal(Point3(4, 0, 0), result.at<Point3>(2), 1e-8));
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EXPECT(assert_equal(Point3(2, -2, 0), result.at<Point3>(3), 1e-8));
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}
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TEST(TranslationRecovery, ThreePosesWithZeroTranslation) {
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@ -260,9 +260,9 @@ TEST(TranslationRecovery, ThreePosesWithZeroTranslation) {
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const auto result = algorithm.run(/*scale=*/4.0);
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// Check result
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EXPECT(assert_equal(Point3(0, 0, 0), result.at<Point3>(0)));
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EXPECT(assert_equal(Point3(0, 0, 0), result.at<Point3>(1)));
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EXPECT(assert_equal(Point3(0, 0, 0), result.at<Point3>(2)));
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EXPECT(assert_equal(Point3(0, 0, 0), result.at<Point3>(0), 1e-8));
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EXPECT(assert_equal(Point3(0, 0, 0), result.at<Point3>(1), 1e-8));
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EXPECT(assert_equal(Point3(0, 0, 0), result.at<Point3>(2), 1e-8));
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}
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/* ************************************************************************* */
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