Public Types | Public Member Functions | Static Public Attributes | Protected Types | Private Member Functions | List of all members
gtsam::NoiseModelFactorN< ValueTypes > Class Template Referenceabstract

#include <NonlinearFactor.h>

Inheritance diagram for gtsam::NoiseModelFactorN< ValueTypes >:
Inheritance graph
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Public Types

template<int I, typename = IndexIsValid<I>>
using ValueType = typename std::tuple_element< I - 1, std::tuple< ValueTypes... > >::type
 
- Public Types inherited from gtsam::NoiseModelFactor
typedef std::shared_ptr< Thisshared_ptr
 
- Public Types inherited from gtsam::NonlinearFactor
typedef std::shared_ptr< Thisshared_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...
 

Public Member Functions

template<int I = 1>
Key key () const
 
virtual Vector unwhitenedError (const Values &x, OptionalMatrixVecType H=nullptr) const=0
 
Vector unwhitenedError (const Values &x, std::vector< Matrix > &H) const
 
 ~NoiseModelFactorN () override
 
Constructors
 NoiseModelFactorN ()
 Default Constructor for I/O. More...
 
 NoiseModelFactorN (const SharedNoiseModel &noiseModel, KeyType< ValueTypes >... keys)
 
template<typename CONTAINER = std::initializer_list<Key>, typename = IsContainerOfKeys<CONTAINER>>
 NoiseModelFactorN (const SharedNoiseModel &noiseModel, CONTAINER keys)
 
NoiseModelFactor methods
Vector unwhitenedError (const Values &x, OptionalMatrixVecType H=nullptr) const override
 
Virtual methods
virtual Vector evaluateError (const ValueTypes &... x, OptionalMatrixTypeT< ValueTypes >... H) const =0
 
Vector evaluateError (const ValueTypes &... x, MatrixTypeT< ValueTypes > &... H) const
 
Convenience method overloads
Vector evaluateError (const ValueTypes &... x) const
 
template<typename... OptionalJacArgs, typename = IndexIsValid<sizeof...(OptionalJacArgs) + 1>>
AreAllMatrixRefs< Vector, OptionalJacArgs... > evaluateError (const ValueTypes &... x, OptionalJacArgs &&... H) const
 
template<typename... OptionalJacArgs, typename = IndexIsValid<sizeof...(OptionalJacArgs) + 1>>
AreAllMatrixPtrs< Vector, OptionalJacArgs... > evaluateError (const ValueTypes &... x, OptionalJacArgs &&... H) const
 
Shortcut functions <tt>key1()</tt> -> <tt>key\<1\>()</tt>
Key key1 () const
 
template<int I = 2>
Key key2 () const
 
template<int I = 3>
Key key3 () const
 
template<int I = 4>
Key key4 () const
 
template<int I = 5>
Key key5 () const
 
template<int I = 6>
Key key6 () const
 
- Public Member Functions inherited from gtsam::NoiseModelFactor
shared_ptr cloneWithNewNoiseModel (const SharedNoiseModel newNoise) const
 
size_t dim () const override
 
bool equals (const NonlinearFactor &f, double tol=1e-9) const override
 
double error (const Values &c) const override
 
std::shared_ptr< GaussianFactorlinearize (const Values &x) const override
 
const SharedNoiseModelnoiseModel () const
 access to the noise model More...
 
 NoiseModelFactor ()
 
template<typename CONTAINER >
 NoiseModelFactor (const SharedNoiseModel &noiseModel, const CONTAINER &keys)
 
void print (const std::string &s="", const KeyFormatter &keyFormatter=DefaultKeyFormatter) const override
 
Vector unweightedWhitenedError (const Values &c) const
 
Vector unwhitenedError (const Values &x, std::vector< Matrix > &H) const
 
double weight (const Values &c) const
 
Vector whitenedError (const Values &c) const
 
 ~NoiseModelFactor () override
 
- Public Member Functions inherited from gtsam::NonlinearFactor
 NonlinearFactor ()
 
template<typename CONTAINER >
 NonlinearFactor (const CONTAINER &keys)
 
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 KeyVectorkeys () 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...
 
KeyVectorkeys ()
 
iterator begin ()
 
iterator end ()
 

Static Public Attributes

constexpr static auto N = sizeof...(ValueTypes)
 N is the number of variables (N-way factor) More...
 

Protected Types

using Base = NoiseModelFactor
 
template<typename T >
using KeyType = Key
 
template<typename T = void>
using MatrixTypeT = Matrix
 
template<typename T = void>
using OptionalMatrixTypeT = Matrix *
 
using This = NoiseModelFactorN< ValueTypes... >
 
SFINAE aliases
template<typename From , typename To >
using IsConvertible = typename std::enable_if< std::is_convertible< From, To >::value, void >::type
 
template<int I>
using IndexIsValid = typename std::enable_if<(I >=1) &&(I<=N), void >::type
 
template<typename Container >
using ContainerElementType = typename std::decay< decltype(*std::declval< Container >().begin())>::type
 
template<typename Container >
using IsContainerOfKeys = IsConvertible< ContainerElementType< Container >, Key >
 
template<typename Ret , typename ... Args>
using AreAllMatrixRefs = std::enable_if_t<(... &&std::is_convertible< Args, Matrix & >::value), Ret >
 
template<typename Arg >
using IsMatrixPointer = std::is_same< typename std::decay_t< Arg >, Matrix * >
 
template<typename Arg >
using IsNullpointer = std::is_same< typename std::decay_t< Arg >, std::nullptr_t >
 
template<typename Ret , typename ... Args>
using AreAllMatrixPtrs = std::enable_if_t<(... &&(IsMatrixPointer< Args >::value||IsNullpointer< Args >::value)), Ret >
 
- Protected Types inherited from gtsam::NoiseModelFactor
typedef NonlinearFactor Base
 
typedef NoiseModelFactor This
 
- Protected Types inherited from gtsam::NonlinearFactor
typedef Factor Base
 
typedef NonlinearFactor This
 

Private Member Functions

template<std::size_t... Indices>
Vector unwhitenedError (gtsam::index_sequence< Indices... >, const Values &x, OptionalMatrixVecType H=nullptr) const
 

Additional Inherited Members

- Protected Member Functions inherited from gtsam::NoiseModelFactor
 NoiseModelFactor (const SharedNoiseModel &noiseModel)
 
- 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::NoiseModelFactor
SharedNoiseModel noiseModel_
 
- Protected Attributes inherited from gtsam::Factor
KeyVector keys_
 The keys involved in this factor. More...
 

Detailed Description

template<class... ValueTypes>
class gtsam::NoiseModelFactorN< ValueTypes >

A convenient base class for creating your own NoiseModelFactor with n variables. To derive from this class, implement evaluateError().

For example, a 2-way factor that computes the difference in x-translation between a Pose3 and Point3 could be implemented like so:

class MyFactor : public NoiseModelFactorN<Pose3, Point3> {
public:
using Base = NoiseModelFactorN<Pose3, Point3>;
MyFactor(Key pose_key, Key point_key, const SharedNoiseModel& noiseModel)
: Base(noiseModel, pose_key, point_key) {}
const Pose3& T, const Point3& p,
OptionalMatrixType H_p = OptionalNone) const override {
Matrix36 t_H_T; // partial derivative of translation w.r.t. pose T
// Only compute t_H_T if needed:
Point3 t = T.translation(H_T ? &t_H_T : 0);
double a = t(0); // a_H_t = [1, 0, 0]
double b = p(0); // b_H_p = [1, 0, 0]
double error = a - b; // H_a = 1, H_b = -1
// H_T = H_a * a_H_t * t_H_T = the first row of t_H_T
if (H_T) *H_T = (Matrix(1, 6) << t_H_T.row(0)).finished();
// H_p = H_b * b_H_p = -1 * [1, 0, 0]
if (H_p) *H_p = (Matrix(1, 3) << -1., 0., 0.).finished();
return Vector1(error);
}
};
// Unit Test
EXPECT_DOUBLES_EQUAL(-8., f.evaluateError(Pose3(), Point3(8., 7., 6.))(0),
1e-9);
values.insert(X(1), Pose3(Rot3::RzRyRx(0.1, 0.2, 0.3), Point3(1, 2, 3)));
values.insert(X(2), Point3(1, 2, 3));
}

These factors are templated on a values structure type. The values structures are typically more general than just vectors, e.g., Rot3 or Pose3, which are objects in non-linear manifolds (Lie groups).

Definition at line 432 of file NonlinearFactor.h.

Member Typedef Documentation

◆ AreAllMatrixPtrs

template<class... ValueTypes>
template<typename Ret , typename ... Args>
using gtsam::NoiseModelFactorN< ValueTypes >::AreAllMatrixPtrs = std::enable_if_t<(... && (IsMatrixPointer<Args>::value || IsNullpointer<Args>::value)), Ret>
protected

A helper alias to check if a list of args are all pointers to a matrix or not. It will be used to choose the right overload of evaluateError.

Definition at line 482 of file NonlinearFactor.h.

◆ AreAllMatrixRefs

template<class... ValueTypes>
template<typename Ret , typename ... Args>
using gtsam::NoiseModelFactorN< ValueTypes >::AreAllMatrixRefs = std::enable_if_t<(... && std::is_convertible<Args, Matrix&>::value), Ret>
protected

A helper alias to check if a list of args are all references to a matrix or not. It will be used to choose the right overload of evaluateError.

Definition at line 468 of file NonlinearFactor.h.

◆ Base

template<class... ValueTypes>
using gtsam::NoiseModelFactorN< ValueTypes >::Base = NoiseModelFactor
protected

Definition at line 442 of file NonlinearFactor.h.

◆ ContainerElementType

template<class... ValueTypes>
template<typename Container >
using gtsam::NoiseModelFactorN< ValueTypes >::ContainerElementType = typename std::decay<decltype(*std::declval<Container>().begin())>::type
protected

Definition at line 458 of file NonlinearFactor.h.

◆ IndexIsValid

template<class... ValueTypes>
template<int I>
using gtsam::NoiseModelFactorN< ValueTypes >::IndexIsValid = typename std::enable_if<(I >= 1) && (I <= N), void>::type
protected

Definition at line 454 of file NonlinearFactor.h.

◆ IsContainerOfKeys

template<class... ValueTypes>
template<typename Container >
using gtsam::NoiseModelFactorN< ValueTypes >::IsContainerOfKeys = IsConvertible<ContainerElementType<Container>, Key>
protected

Definition at line 460 of file NonlinearFactor.h.

◆ IsConvertible

template<class... ValueTypes>
template<typename From , typename To >
using gtsam::NoiseModelFactorN< ValueTypes >::IsConvertible = typename std::enable_if<std::is_convertible<From, To>::value, void>::type
protected

Definition at line 450 of file NonlinearFactor.h.

◆ IsMatrixPointer

template<class... ValueTypes>
template<typename Arg >
using gtsam::NoiseModelFactorN< ValueTypes >::IsMatrixPointer = std::is_same<typename std::decay_t<Arg>, Matrix*>
protected

Definition at line 471 of file NonlinearFactor.h.

◆ IsNullpointer

template<class... ValueTypes>
template<typename Arg >
using gtsam::NoiseModelFactorN< ValueTypes >::IsNullpointer = std::is_same<typename std::decay_t<Arg>, std::nullptr_t>
protected

Definition at line 474 of file NonlinearFactor.h.

◆ KeyType

template<class... ValueTypes>
template<typename T >
using gtsam::NoiseModelFactorN< ValueTypes >::KeyType = Key
protected

Definition at line 495 of file NonlinearFactor.h.

◆ MatrixTypeT

template<class... ValueTypes>
template<typename T = void>
using gtsam::NoiseModelFactorN< ValueTypes >::MatrixTypeT = Matrix
protected

Definition at line 502 of file NonlinearFactor.h.

◆ OptionalMatrixTypeT

template<class... ValueTypes>
template<typename T = void>
using gtsam::NoiseModelFactorN< ValueTypes >::OptionalMatrixTypeT = Matrix*
protected

Definition at line 490 of file NonlinearFactor.h.

◆ This

template<class... ValueTypes>
using gtsam::NoiseModelFactorN< ValueTypes >::This = NoiseModelFactorN<ValueTypes...>
protected

Definition at line 443 of file NonlinearFactor.h.

◆ ValueType

template<class... ValueTypes>
template<int I, typename = IndexIsValid<I>>
using gtsam::NoiseModelFactorN< ValueTypes >::ValueType = typename std::tuple_element<I - 1, std::tuple<ValueTypes...> >::type

The type of the I'th template param can be obtained as ValueType. I is 1-indexed for backwards compatibility/consistency! So for example,

using Factor = NoiseModelFactorN<Pose3, Point3>;
Factor::ValueType<1> // Pose3
Factor::ValueType<2> // Point3
// Factor::ValueType<0> // ERROR! Will not compile.
// Factor::ValueType<3> // ERROR! Will not compile.

You can also use the shortcuts X1, ..., X6 which are the same as ValueType<1>, ..., ValueType<6> respectively (see detail::NoiseModelFactorAliases).

Note that, if your class is templated AND you want to use ValueType<1> inside your class, due to dependent types you need the template keyword: typename MyFactor<T>::template ValueType<1>.

Definition at line 526 of file NonlinearFactor.h.

Constructor & Destructor Documentation

◆ NoiseModelFactorN() [1/3]

template<class... ValueTypes>
gtsam::NoiseModelFactorN< ValueTypes >::NoiseModelFactorN ( )
inline

Default Constructor for I/O.

Definition at line 534 of file NonlinearFactor.h.

◆ NoiseModelFactorN() [2/3]

template<class... ValueTypes>
gtsam::NoiseModelFactorN< ValueTypes >::NoiseModelFactorN ( const SharedNoiseModel noiseModel,
KeyType< ValueTypes >...  keys 
)
inline

Constructor. Example usage: NoiseModelFactorN(noise, key1, key2, ..., keyN)

Parameters
noiseModelShared pointer to noise model.
keysKeys for the variables in this factor, passed in as separate arguments.

Definition at line 543 of file NonlinearFactor.h.

◆ NoiseModelFactorN() [3/3]

template<class... ValueTypes>
template<typename CONTAINER = std::initializer_list<Key>, typename = IsContainerOfKeys<CONTAINER>>
gtsam::NoiseModelFactorN< ValueTypes >::NoiseModelFactorN ( const SharedNoiseModel noiseModel,
CONTAINER  keys 
)
inline

Constructor. Example usage: NoiseModelFactorN(noise, {key1, key2, ..., keyN}) Example usage: NoiseModelFactorN(noise, keys) where keys is a vector<Key>

Parameters
noiseModelShared pointer to noise model.
keysA container of keys for the variables in this factor.

Definition at line 556 of file NonlinearFactor.h.

◆ ~NoiseModelFactorN()

template<class... ValueTypes>
gtsam::NoiseModelFactorN< ValueTypes >::~NoiseModelFactorN ( )
inlineoverride

Definition at line 566 of file NonlinearFactor.h.

Member Function Documentation

◆ evaluateError() [1/5]

template<class... ValueTypes>
Vector gtsam::NoiseModelFactorN< ValueTypes >::evaluateError ( const ValueTypes &...  x) const
inline

No-Jacobians requested function overload. This specializes the version below to avoid recursive calls since this is commonly used.

e.g. const Vector error = factor.evaluateError(pose, point);

Definition at line 664 of file NonlinearFactor.h.

◆ evaluateError() [2/5]

template<class... ValueTypes>
Vector gtsam::NoiseModelFactorN< ValueTypes >::evaluateError ( const ValueTypes &...  x,
MatrixTypeT< ValueTypes > &...  H 
) const
inline

If all the optional arguments are matrices then redirect the call to the one which takes pointers. To get access to this version of the function from derived classes one will need to use the "using" keyword and specify that like this: public: using NoiseModelFactorN<list the value types here>::evaluateError;

Definition at line 650 of file NonlinearFactor.h.

◆ evaluateError() [3/5]

template<class... ValueTypes>
template<typename... OptionalJacArgs, typename = IndexIsValid<sizeof...(OptionalJacArgs) + 1>>
AreAllMatrixRefs<Vector, OptionalJacArgs...> gtsam::NoiseModelFactorN< ValueTypes >::evaluateError ( const ValueTypes &...  x,
OptionalJacArgs &&...  H 
) const
inline

Some (but not all) optional Jacobians are omitted (function overload) and the jacobians are l-value references to matrices. e.g. const Vector error = factor.evaluateError(pose, point, Hpose);

Definition at line 673 of file NonlinearFactor.h.

◆ evaluateError() [4/5]

template<class... ValueTypes>
template<typename... OptionalJacArgs, typename = IndexIsValid<sizeof...(OptionalJacArgs) + 1>>
AreAllMatrixPtrs<Vector, OptionalJacArgs...> gtsam::NoiseModelFactorN< ValueTypes >::evaluateError ( const ValueTypes &...  x,
OptionalJacArgs &&...  H 
) const
inline

Some (but not all) optional Jacobians are omitted (function overload) and the jacobians are pointers to matrices. e.g. const Vector error = factor.evaluateError(pose, point, &Hpose);

Definition at line 683 of file NonlinearFactor.h.

◆ evaluateError() [5/5]

template<class... ValueTypes>
virtual Vector gtsam::NoiseModelFactorN< ValueTypes >::evaluateError ( const ValueTypes &...  x,
OptionalMatrixTypeT< ValueTypes >...  H 
) const
pure virtual

Override evaluateError to finish implementing an n-way factor.

Both the x and H arguments are written here as parameter packs, but when overriding this method, you probably want to explicitly write them out. For example, for a 2-way factor with variable types Pose3 and Point3, you should implement:

If any of the optional Matrix reference arguments are specified, it should compute both the function evaluation and its derivative(s) in the requested variables.

Parameters
xThe values of the variables to evaluate the error for. Passed in as separate arguments.
[out]HThe Jacobian with respect to each variable (optional).

◆ key()

template<class... ValueTypes>
template<int I = 1>
Key gtsam::NoiseModelFactorN< ValueTypes >::key ( ) const
inline

Returns a key. Usage: key<I>() returns the I'th key. I is 1-indexed for backwards compatibility/consistency! So for example,

NoiseModelFactorN<Pose3, Point3> factor(noise, key1, key2);
key<1>() // = key1
key<2>() // = key2
// key<0>() // ERROR! Will not compile
// key<3>() // ERROR! Will not compile

Note that, if your class is templated AND you are trying to call key<1> inside your class, due to dependent types you need the template keyword: this->key1().

Definition at line 583 of file NonlinearFactor.h.

◆ key1()

template<class... ValueTypes>
Key gtsam::NoiseModelFactorN< ValueTypes >::key1 ( ) const
inline

Definition at line 732 of file NonlinearFactor.h.

◆ key2()

template<class... ValueTypes>
template<int I = 2>
Key gtsam::NoiseModelFactorN< ValueTypes >::key2 ( ) const
inline

Definition at line 736 of file NonlinearFactor.h.

◆ key3()

template<class... ValueTypes>
template<int I = 3>
Key gtsam::NoiseModelFactorN< ValueTypes >::key3 ( ) const
inline

Definition at line 741 of file NonlinearFactor.h.

◆ key4()

template<class... ValueTypes>
template<int I = 4>
Key gtsam::NoiseModelFactorN< ValueTypes >::key4 ( ) const
inline

Definition at line 746 of file NonlinearFactor.h.

◆ key5()

template<class... ValueTypes>
template<int I = 5>
Key gtsam::NoiseModelFactorN< ValueTypes >::key5 ( ) const
inline

Definition at line 751 of file NonlinearFactor.h.

◆ key6()

template<class... ValueTypes>
template<int I = 6>
Key gtsam::NoiseModelFactorN< ValueTypes >::key6 ( ) const
inline

Definition at line 756 of file NonlinearFactor.h.

◆ unwhitenedError() [1/4]

template<class... ValueTypes>
Vector gtsam::NoiseModelFactorN< ValueTypes >::unwhitenedError ( const Values x,
OptionalMatrixVecType  H = nullptr 
) const
inlineoverridevirtual

This implements the unwhitenedError virtual function by calling the n-key specific version of evaluateError, which is pure virtual so must be implemented in the derived class.

Example usage:

values.insert(...) // populate values
std::vector<Matrix> Hs(2); // this will be an optional output argument
const Vector error = factor.unwhitenedError(values, Hs);
Parameters
[in]xA Values object containing the values of all the variables used in this factor
[out]HA vector of (dynamic) matrices whose size should be equal to n. The Jacobians w.r.t. each variable will be output in this parameter.

Implements gtsam::NoiseModelFactor.

Definition at line 607 of file NonlinearFactor.h.

◆ unwhitenedError() [2/4]

template<class... ValueTypes>
virtual Vector gtsam::NoiseModelFactor::unwhitenedError

Error function without the NoiseModel, $ z-h(x) $. Override this method to finish implementing an N-way factor. If the optional arguments is specified, it should compute both the function evaluation and its derivative(s) in H.

◆ unwhitenedError() [3/4]

template<class... ValueTypes>
Vector gtsam::NoiseModelFactor::unwhitenedError
inline

support taking in the actual vector instead of the pointer as well to get access to this version of the function from derived classes one will need to use the "using" keyword and specify that like this: public: using NoiseModelFactor::unwhitenedError;

Definition at line 264 of file NonlinearFactor.h.

◆ unwhitenedError() [4/4]

template<class... ValueTypes>
template<std::size_t... Indices>
Vector gtsam::NoiseModelFactorN< ValueTypes >::unwhitenedError ( gtsam::index_sequence< Indices... >  ,
const Values x,
OptionalMatrixVecType  H = nullptr 
) const
inlineprivate

Pack expansion with index_sequence template pattern, used to index into keys_ and H.

Example: For NoiseModelFactorN<Pose3, Point3>, the call would look like: const Vector error = unwhitenedError(0, 1, values, H);

Definition at line 702 of file NonlinearFactor.h.

Member Data Documentation

◆ N

template<class... ValueTypes>
constexpr static auto gtsam::NoiseModelFactorN< ValueTypes >::N = sizeof...(ValueTypes)
inlinestaticconstexpr

N is the number of variables (N-way factor)

Definition at line 437 of file NonlinearFactor.h.


The documentation for this class was generated from the following file:
gtsam::Vector1
Eigen::Matrix< double, 1, 1 > Vector1
Definition: Vector.h:42
EXPECT_CORRECT_FACTOR_JACOBIANS
#define EXPECT_CORRECT_FACTOR_JACOBIANS(factor, values, numerical_derivative_step, tolerance)
Check the Jacobians produced by a factor against finite differences.
Definition: factorTesting.h:114
e
Array< double, 1, 3 > e(1./3., 0.5, 2.)
gtsam::NoiseModelFactor::error
double error(const Values &c) const override
Definition: NonlinearFactor.cpp:138
gtsam::NoiseModelFactorN::evaluateError
virtual Vector evaluateError(const ValueTypes &... x, OptionalMatrixTypeT< ValueTypes >... H) const =0
Values
gtsam::Matrix
Eigen::MatrixXd Matrix
Definition: base/Matrix.h:39
different_sigmas::values
HybridValues values
Definition: testHybridBayesNet.cpp:245
X
#define X
Definition: icosphere.cpp:20
gtsam::Vector
Eigen::VectorXd Vector
Definition: Vector.h:39
pruning_fixture::factor
DecisionTreeFactor factor(D &C &B &A, "0.0 0.0 0.0 0.60658897 0.61241912 0.61241969 0.61247685 0.61247742 0.0 " "0.0 0.0 0.99995287 1.0 1.0 1.0 1.0")
OptionalNone
#define OptionalNone
Definition: NonlinearFactor.h:50
x1
Pose3 x1
Definition: testPose3.cpp:663
gtsam::NoiseModelFactor::noiseModel
const SharedNoiseModel & noiseModel() const
access to the noise model
Definition: NonlinearFactor.h:246
gtsam::noiseModel::Unit::Create
static shared_ptr Create(size_t dim)
Definition: NoiseModel.h:631
gtsam::SharedNoiseModel
noiseModel::Base::shared_ptr SharedNoiseModel
Definition: NoiseModel.h:762
Eigen::Triplet
A small structure to hold a non zero as a triplet (i,j,value).
Definition: SparseUtil.h:162
gtsam::NoiseModelFactorN::key1
Key key1() const
Definition: NonlinearFactor.h:732
MyFactor
GeneralSFMFactor< SfmCamera, Point3 > MyFactor
Definition: SFMExample_bal.cpp:36
EXPECT_DOUBLES_EQUAL
#define EXPECT_DOUBLES_EQUAL(expected, actual, threshold)
Definition: Test.h:161
tree::f
Point2(* f)(const Point3 &, OptionalJacobian< 2, 3 >)
Definition: testExpression.cpp:218
gtsam::b
const G & b
Definition: Group.h:79
gtsam::NoiseModelFactorN::key2
Key key2() const
Definition: NonlinearFactor.h:736
a
ArrayXXi a
Definition: Array_initializer_list_23_cxx11.cpp:1
gtsam::TEST
TEST(SmartFactorBase, Pinhole)
Definition: testSmartFactorBase.cpp:38
NonlinearFactor
Continuous, differentiable manifold values for.
gtsam::Values
Definition: Values.h:65
p
float * p
Definition: Tutorial_Map_using.cpp:9
gtsam::GeneralSFMFactor
Definition: GeneralSFMFactor.h:59
gtsam::NoiseModelFactorN::NoiseModelFactorN
NoiseModelFactorN()
Default Constructor for I/O.
Definition: NonlinearFactor.h:534
gtsam::Point3
Vector3 Point3
Definition: Point3.h:38
gtsam::OptionalMatrixType
Matrix * OptionalMatrixType
Definition: NonlinearFactor.h:56
gtsam::Factor::Factor
Factor()
Definition: Factor.h:94
gtsam::NoiseModelFactorN::key
Key key() const
Definition: NonlinearFactor.h:583
Base
Definition: test_virtual_functions.cpp:156
align_3::t
Point2 t(10, 10)
gtsam::Key
std::uint64_t Key
Integer nonlinear key type.
Definition: types.h:97
Pose3
Definition: testDependencies.h:3
gtsam::Rot3::RzRyRx
static Rot3 RzRyRx(double x, double y, double z, OptionalJacobian< 3, 1 > Hx={}, OptionalJacobian< 3, 1 > Hy={}, OptionalJacobian< 3, 1 > Hz={})
Rotations around Z, Y, then X axes as in http://en.wikipedia.org/wiki/Rotation_matrix,...
Definition: Rot3M.cpp:84
x2
Pose3 x2(Rot3::Ypr(0.0, 0.0, 0.0), l2)


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autogenerated on Sun Dec 22 2024 04:24:39