KarcherMeanFactor.h
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1 /* ----------------------------------------------------------------------------
2 
3  * GTSAM Copyright 2010, Georgia Tech Research Corporation,
4  * Atlanta, Georgia 30332-0415
5  * All Rights Reserved
6  * Authors: Frank Dellaert, et al. (see THANKS for the full author list)
7 
8  * See LICENSE for the license information
9 
10  * -------------------------------------------------------------------------- */
11 
12 /*
13  * @file KarcherMeanFactor.h
14  * @author Frank Dellaert
15  * @date March 2019
16  */
17 
18 #pragma once
19 
20 #include <gtsam/base/Matrix.h>
22 
23 #include <map>
24 #include <vector>
25 #include <optional>
26 
27 namespace gtsam {
33 template <class T>
34 T FindKarcherMean(const std::vector<T, Eigen::aligned_allocator<T>> &rotations);
35 
36 template <class T> T FindKarcherMean(std::initializer_list<T> &&rotations);
37 
46 template <class T> class KarcherMeanFactor : public NonlinearFactor {
47  // Compile time dimension: can be -1
48  enum { D = traits<T>::dimension };
49 
50  // Runtime dimension: always >=0
51  size_t d_;
52 
54  std::shared_ptr<JacobianFactor> whitenedJacobian_;
55 
56 public:
62  template <typename CONTAINER>
63  KarcherMeanFactor(const CONTAINER &keys, int d = D,
64  std::optional<double> beta = {});
65 
67  ~KarcherMeanFactor() override {}
68 
70  double error(const Values &c) const override { return 0; }
71 
73  size_t dim() const override { return d_; }
74 
76  std::shared_ptr<GaussianFactor> linearize(const Values &c) const override {
77  return whitenedJacobian_;
78  }
79 };
80 // \KarcherMeanFactor
81 } // namespace gtsam
T FindKarcherMean(const std::vector< T > &rotations)
Scalar Scalar * c
Definition: benchVecAdd.cpp:17
std::shared_ptr< GaussianFactor > linearize(const Values &c) const override
linearize to a GaussianFactor
KarcherMeanFactor(const CONTAINER &keys, int d=D, std::optional< double > beta={})
STL compatible allocator to use with types requiring a non standrad alignment.
Definition: Memory.h:878
size_t dim() const override
get the dimension of the factor (number of rows on linearization)
~KarcherMeanFactor() override
Destructor.
traits
Definition: chartTesting.h:28
const KeyVector & keys() const
Access the factor&#39;s involved variable keys.
Definition: Factor.h:142
std::shared_ptr< JacobianFactor > whitenedJacobian_
Constant Jacobian made of d*d identity matrices.
double error(const Values &c) const override
Calculate the error of the factor: always zero.


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autogenerated on Tue Jul 4 2023 02:34:29