Files
ceres-solver/internal/ceres/covariance.cc
T
Wannes Van Loock b0bf9fd2a9 Add covariance matrix for a vector of parameters
Computing the covariance matrix for a number of parameter blocks
previously required adding all parameter blocks to the computation and
subsequently assembling the matrix by concatenating all the blocks.

This patch adds the computation of the covariance matrix for a vector
of parameter blocks. All covariance block pairs are added automatically
and the resulting covariance matrix is assembled in the order the
parameter blocks appear.

Change-Id: I3b70c63f16862adc23a1d7fb7a21dde4e68abe9a
2016-01-04 20:26:40 +00:00

100 lines
4.1 KiB
C++

// 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
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// POSSIBILITY OF SUCH DAMAGE.
//
// Author: sameeragarwal@google.com (Sameer Agarwal)
#include "ceres/covariance.h"
#include <utility>
#include <vector>
#include "ceres/covariance_impl.h"
#include "ceres/problem.h"
#include "ceres/problem_impl.h"
namespace ceres {
using std::make_pair;
using std::pair;
using std::vector;
Covariance::Covariance(const Covariance::Options& options) {
impl_.reset(new internal::CovarianceImpl(options));
}
Covariance::~Covariance() {
}
bool Covariance::Compute(
const vector<pair<const double*, const double*> >& covariance_blocks,
Problem* problem) {
return impl_->Compute(covariance_blocks, problem->problem_impl_.get());
}
bool Covariance::Compute(
const vector<const double*>& parameter_blocks,
Problem* problem) {
return impl_->Compute(parameter_blocks, problem->problem_impl_.get());
}
bool Covariance::GetCovarianceBlock(const double* parameter_block1,
const double* parameter_block2,
double* covariance_block) const {
return impl_->GetCovarianceBlockInTangentOrAmbientSpace(parameter_block1,
parameter_block2,
true, // ambient
covariance_block);
}
bool Covariance::GetCovarianceBlockInTangentSpace(
const double* parameter_block1,
const double* parameter_block2,
double* covariance_block) const {
return impl_->GetCovarianceBlockInTangentOrAmbientSpace(parameter_block1,
parameter_block2,
false, // tangent
covariance_block);
}
bool Covariance::GetCovarianceMatrix(
const vector<const double*>& parameter_blocks,
double* covariance_matrix) {
return impl_->GetCovarianceMatrixInTangentOrAmbientSpace(parameter_blocks,
true, // ambient
covariance_matrix);
}
bool Covariance::GetCovarianceMatrixInTangentSpace(
const std::vector<const double *>& parameter_blocks,
double *covariance_matrix) {
return impl_->GetCovarianceMatrixInTangentOrAmbientSpace(parameter_blocks,
false, // tangent
covariance_matrix);
}
} // namespace ceres