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- // Ceres Solver - A fast non-linear least squares minimizer
- // Copyright 2015 Google Inc. All rights reserved.
- // http://ceres-solver.org/
- //
- // Redistribution and use in source and binary forms, with or without
- // modification, are permitted provided that the following conditions are met:
- //
- // * Redistributions of source code must retain the above copyright notice,
- // this list of conditions and the following disclaimer.
- // * Redistributions in binary form must reproduce the above copyright notice,
- // this list of conditions and the following disclaimer in the documentation
- // and/or other materials provided with the distribution.
- // * Neither the name of Google Inc. nor the names of its contributors may be
- // used to endorse or promote products derived from this software without
- // specific prior written permission.
- //
- // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
- // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
- // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
- // ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
- // LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
- // CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
- // SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
- // INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
- // CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
- // ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
- // POSSIBILITY OF SUCH DAMAGE.
- //
- // Author: sameeragarwal@google.com (Sameer Agarwal)
- #ifndef CERES_INTERNAL_FAKE_BUNDLE_ADJUSTMENT_JACOBIAN
- #define CERES_INTERNAL_FAKE_BUNDLE_ADJUSTMENT_JACOBIAN
- #include <memory>
- #include <random>
- #include "ceres/block_sparse_matrix.h"
- #include "ceres/partitioned_matrix_view.h"
- namespace ceres::internal {
- std::unique_ptr<BlockSparseMatrix> CreateFakeBundleAdjustmentJacobian(
- int num_cameras,
- int num_points,
- int camera_size,
- int point_size,
- double visibility,
- std::mt19937& prng);
- template <int kEBlockSize = 3, int kFBlockSize = 6>
- std::pair<std::unique_ptr<PartitionedMatrixView<2, kEBlockSize, kFBlockSize>>,
- std::unique_ptr<BlockSparseMatrix>>
- CreateFakeBundleAdjustmentPartitionedJacobian(int num_cameras,
- int num_points,
- double visibility,
- std::mt19937& rng) {
- using PartitionedView = PartitionedMatrixView<2, kEBlockSize, kFBlockSize>;
- auto block_sparse_matrix = CreateFakeBundleAdjustmentJacobian(
- num_cameras, num_points, kFBlockSize, kEBlockSize, visibility, rng);
- auto partitioned_view =
- std::make_unique<PartitionedView>(*block_sparse_matrix, num_points);
- return std::make_pair(std::move(partitioned_view),
- std::move(block_sparse_matrix));
- }
- std::pair<
- std::unique_ptr<PartitionedMatrixView<2, Eigen::Dynamic, Eigen::Dynamic>>,
- std::unique_ptr<BlockSparseMatrix>>
- CreateFakeBundleAdjustmentPartitionedJacobian(int num_cameras,
- int num_points,
- int camera_size,
- int landmark_size,
- double visibility,
- std::mt19937& rng);
- } // namespace ceres::internal
- #endif // CERES_INTERNAL_FAKE_BUNDLE_ADJUSTMENT_JACOBIAN
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