#include <KarcherMeanFactor.h>
Public Member Functions | |
size_t | dim () const override |
get the dimension of the factor (number of rows on linearization) More... | |
double | error (const Values &c) const override |
Calculate the error of the factor: always zero. More... | |
template<typename CONTAINER > | |
KarcherMeanFactor (const CONTAINER &keys, int d=D, std::optional< double > beta={}) | |
std::shared_ptr< GaussianFactor > | linearize (const Values &c) const override |
linearize to a GaussianFactor More... | |
~KarcherMeanFactor () override | |
Destructor. More... | |
Public Member Functions inherited from gtsam::NonlinearFactor | |
NonlinearFactor () | |
template<typename CONTAINER > | |
NonlinearFactor (const CONTAINER &keys) | |
void | print (const std::string &s="", const KeyFormatter &keyFormatter=DefaultKeyFormatter) const override |
virtual bool | equals (const NonlinearFactor &f, double tol=1e-9) const |
double | error (const HybridValues &c) const override |
virtual bool | active (const Values &) const |
virtual shared_ptr | clone () const |
virtual shared_ptr | rekey (const std::map< Key, Key > &rekey_mapping) const |
virtual shared_ptr | rekey (const KeyVector &new_keys) const |
virtual bool | sendable () const |
Public Member Functions inherited from gtsam::Factor | |
virtual | ~Factor ()=default |
Default destructor. More... | |
bool | empty () const |
Whether the factor is empty (involves zero variables). More... | |
Key | front () const |
First key. More... | |
Key | back () const |
Last key. More... | |
const_iterator | find (Key key) const |
find More... | |
const KeyVector & | keys () const |
Access the factor's involved variable keys. More... | |
const_iterator | begin () const |
const_iterator | end () const |
size_t | size () const |
virtual void | printKeys (const std::string &s="Factor", const KeyFormatter &formatter=DefaultKeyFormatter) const |
print only keys More... | |
bool | equals (const This &other, double tol=1e-9) const |
check equality More... | |
KeyVector & | keys () |
iterator | begin () |
iterator | end () |
Private Types | |
enum | { D = traits<T>::dimension } |
Private Attributes | |
size_t | d_ |
std::shared_ptr< JacobianFactor > | whitenedJacobian_ |
Constant Jacobian made of d*d identity matrices. More... | |
Additional Inherited Members | |
Public Types inherited from gtsam::NonlinearFactor | |
typedef std::shared_ptr< This > | shared_ptr |
Public Types inherited from gtsam::Factor | |
typedef KeyVector::const_iterator | const_iterator |
Const iterator over keys. More... | |
typedef KeyVector::iterator | iterator |
Iterator over keys. More... | |
Protected Types inherited from gtsam::NonlinearFactor | |
typedef Factor | Base |
typedef NonlinearFactor | This |
Protected Member Functions inherited from gtsam::Factor | |
Factor () | |
template<typename CONTAINER > | |
Factor (const CONTAINER &keys) | |
template<typename ITERATOR > | |
Factor (ITERATOR first, ITERATOR last) | |
Static Protected Member Functions inherited from gtsam::Factor | |
template<typename CONTAINER > | |
static Factor | FromKeys (const CONTAINER &keys) |
template<typename ITERATOR > | |
static Factor | FromIterators (ITERATOR first, ITERATOR last) |
Protected Attributes inherited from gtsam::Factor | |
KeyVector | keys_ |
The keys involved in this factor. More... | |
The KarcherMeanFactor creates a constraint on all SO(n) variables with given keys that the Karcher mean (see above) will stay the same. Note the mean itself is irrelevant to the constraint and is not a parameter: the constraint is implemented as enforcing that the sum of local updates is equal to zero, hence creating a rank-dim constraint. Note it is implemented as a soft constraint, as typically it is used to fix a gauge freedom.
Definition at line 46 of file KarcherMeanFactor.h.
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private |
Enumerator | |
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D |
Definition at line 48 of file KarcherMeanFactor.h.
gtsam::KarcherMeanFactor< T >::KarcherMeanFactor | ( | const CONTAINER & | keys, |
int | d = D , |
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std::optional< double > | beta = {} |
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Construct from given keys. If parameter beta is given, it acts as a precision = 1/sigma^2, and the Jacobian will be multiplied with 1/sigma = sqrt(beta).
Definition at line 61 of file KarcherMeanFactor-inl.h.
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inlineoverride |
Destructor.
Definition at line 67 of file KarcherMeanFactor.h.
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inlineoverridevirtual |
get the dimension of the factor (number of rows on linearization)
Implements gtsam::NonlinearFactor.
Definition at line 73 of file KarcherMeanFactor.h.
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inlineoverridevirtual |
Calculate the error of the factor: always zero.
Reimplemented from gtsam::NonlinearFactor.
Definition at line 70 of file KarcherMeanFactor.h.
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inlineoverridevirtual |
linearize to a GaussianFactor
Implements gtsam::NonlinearFactor.
Definition at line 76 of file KarcherMeanFactor.h.
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private |
Definition at line 51 of file KarcherMeanFactor.h.
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private |
Constant Jacobian made of d*d identity matrices.
Definition at line 54 of file KarcherMeanFactor.h.