This Source Code Form is subject to the terms of the Mozilla Public License, v. More...

Classes
class	AlgebraicSphere
	Algebraic Sphere primitive. More...

class	Basket
	Aggregator class used to declare specialized structures using CRTP. More...

struct	BasketComputeObject
	Base ComputeObject for the Basket classes. More...

class	BasketDiff
	Aggregator class used to declare specialized structures with derivatives computations, using CRTP. More...

class	CenteredNeighborhoodFrame
	NeighborhoodFrame that express 3d points relatively to a prescribed center. More...

class	CompactExpWeightKernel
	Compact Exponential WeightKernel defined in \(\left[0 : 1\right]\). More...

struct	ComputeObject
	ComputeObject is a virtual object that represents an algorithm which can be used with the compute functions. More...

class	ConstantWeightKernel
	Concept::WeightKernelConcept returning a constant value. More...

class	CovarianceFitBase
	Procedure that compute and decompose the covariance matrix of the neighbors positions in \(3d\). More...

class	CovarianceFitDer
	Internal generic class computing the derivatives of covariance matrix computed by CovarianceFitBase. More...

class	CovarianceLineFitImpl
	Line fitting procedure that minimize the orthogonal distance between the samples and the fitted primitive. More...

class	CovariancePlaneDerImpl
	[CovariancePlaneFit Definition] More...

class	CovariancePlaneFitImpl
	Plane fitting procedure using only points position. More...

class	CurvatureEstimatorBase
	Base class for any 3d curvature estimator: holds \(k_{\min}\), \(k_{\max}\) and associated vectors, such that \( k_{\min} <= k_{\max} \). More...

class	DistWeightFunc
	Weight neighbors according to the euclidean distance between a query and a reference position. More...

class	DryFit
	Empty fitting object doing no computation. More...

class	GaussianWeightKernel
	Non-compact Gaussian WeightKernel. More...

class	GlobalNeighborhoodFrame
	NeighborhoodFrame that keep points in the global frame without applying any transformation. More...

class	GLSDer
	Differentiation of GLSParam. More...

class	GLSParam
	Growing Least Squares reparametrization of the OrientedSphereFit. More...

struct	IndexSquaredDistance
	Associates an index with a distance. More...

struct	KdTree
	Abstract KdTree type with KdTreeDefaultTraits. More...

class	KdTreeBase
	[KdTreeSparse type definition] More...

class	KdTreeCustomizableNode
	The node type used by default by the kd-tree. More...

struct	KdTreeDefaultInnerNode

struct	KdTreeDefaultLeafNode

struct	KdTreeDefaultNode

struct	KdTreeDefaultTraits
	The default traits type used by the kd-tree. More...

struct	KdTreeDense
	[KdTree type definition] More...

class	KdTreeDenseBase
	Customizable base class for dense KdTree datastructure. More...

class	KdTreeKNearestIterator

class	KdTreeKNearestQueryBase

class	KdTreeNearestIterator

class	KdTreeNearestQueryBase

class	KdTreeQuery

class	KdTreeRangeIterator

class	KdTreeRangeQueryBase

struct	KdTreeSparse
	[KdTreeDense type definition] More...

class	KdTreeSparseBase
	Customizable base class for KdTreeSparse datastructure. More...

struct	KNearestIndexQuery
	Base Query class combining QueryInputIsIndex and QueryOutputIsKNearest. More...

struct	KNearestPointQuery
	Base Query class combining QueryInputIsPosition and QueryOutputIsKNearest. More...

class	KnnGraphBase
	Customizable base class for KnnGraph datastructure. More...

struct	KnnGraphDefaultTraits
	The default traits type used by the kd-tree. More...

class	KnnGraphKNearestQuery

class	KnnGraphRangeIterator

class	KnnGraphRangeQuery

class	limited_priority_queue
	The limited_priority_queue class is similar to std::priority_queue but has a limited capacity and handles the comparison differently. More...

class	Line
	A parametrized line is defined by an origin point \(\mathbf{o}\) and a unit direction vector \(\overrightarrow{\mathbf{d}}\) such that the line corresponds to the set \(l(t)=\mathbf{o}+t\overrightarrow{\mathbf{d}}, t\in \mathbb{R}\). More...

class	MeanNormal
	Compute the mean normal of the input points. More...

class	MeanNormalDer
	Compute the derivatives of the input points mean normal. More...

class	MeanPlaneFitImpl
	Plane fitting procedure computing the mean position and orientation from oriented points. More...

class	MeanPosition
	Compute the barycenter of the input points. More...

class	MeanPositionDer
	Compute the derivatives of the input points barycenter. More...

class	MlsSphereFitDer
	Extension performing derivation of the mls surface. More...

class	MongePatch
	Extension to compute the best fit quadric on 3d points expressed as \(f(u,v)=h\). More...

struct	NearestIndexQuery
	Base Query class combining QueryInputIsIndex and QueryOutputIsNearest. More...

struct	NearestPointQuery
	Base Query class combining QueryInputIsPosition and QueryOutputIsNearest. More...

class	NormalCovarianceCurvatureEstimator
	Extension to compute curvature values based on a covariance analysis of normal vectors of neighbors. More...

class	NormalDerivativesCurvatureEstimator
	Extension to compute curvature values from the Weingarten map \( \frac{d N}{d \mathbf{x}} \). More...

class	NoWeightFuncBase
	Base Weighting function that set uniform weight to all samples. More...

class	OrientedSphereDerImpl
	[OrientedSphereFit Definition] More...

class	OrientedSphereFitImpl
	Algebraic Sphere fitting procedure on oriented point sets. More...

class	Plane
	Implicit hyperplane defined by an homogeneous vector \(\mathbf{p}\). More...

class	PolynomialSmoothWeightKernel
	Compact generalised version of SmoothWeightKernel with arbitrary degrees : \( w(x)=(x^n-1)^m \). More...

class	PrimitiveBase
	Primitive base class. More...

class	PrimitiveDer
	Generic class performing the Fit derivation. More...

class	ProjectedNormalCovarianceCurvatureEstimator
	Extension to compute curvature values based on a covariance analysis of normal vectors of neighbors projected onto the tangent plane. More...

struct	Query

struct	QueryInput
	Base class for typed queries input type. More...

struct	QueryInputBase
	Base class for queries input type. More...

struct	QueryInputIsIndex
	Base class for queries storing points. More...

struct	QueryInputIsPosition
	Base class for queries storing points. More...

struct	QueryOutputBase
	Base class for queries output type. More...

struct	QueryOutputIsKNearest
	Base class for knearest queries. More...

struct	QueryOutputIsNearest
	Base class for nearest queries. More...

struct	QueryOutputIsRange
	Base class for range queries. More...

struct	RangeIndexQuery
	Base Query class combining QueryInputIsIndex and QueryOutputIsRange. More...

struct	RangePointQuery
	Base Query class combining QueryInputIsPosition and QueryOutputIsRange. More...

class	SingularWeightKernel
	Compact singular WeightKernel defined in \(\left]0 : 1\right]\). More...

class	SmoothWeightKernel
	Compact smooth WeightKernel of 2nd degree, defined in \(\left[0 : 1\right]\) Special case of PolynomialSmoothWeightKernel<Scalar, 2, 2> More...

class	SphereFitImpl
	Algebraic Sphere fitting procedure on point set without normals. More...

class	Stack
	Stack with fixed-size storage. More...

class	UnorientedSphereDerImpl

class	UnorientedSphereFitImpl
	Algebraic Sphere fitting procedure on point sets with non-oriented normals. More...

class	WendlandWeightKernel
	Compact Wendland WeightKernel defined in \(\left[0 : 1\right]\). More...

Typedefs
template<class DataPoint , class _NFilter , typename T >
using	CovarianceLineFit = CovarianceLineFitImpl< DataPoint, _NFilter, CovarianceFitBase< DataPoint, _NFilter, MeanPosition< DataPoint, _NFilter, Line< DataPoint, _NFilter, T > > > >
	Helper alias for Line fitting on 3D points using CovarianceLineFitImpl.

template<class DataPoint , class _NFilter , typename T >
using	CovariancePlaneFit = CovariancePlaneFitImpl< DataPoint, _NFilter, CovarianceFitBase< DataPoint, _NFilter, MeanPosition< DataPoint, _NFilter, Plane< DataPoint, _NFilter, T > > > >
	Helper alias for Plane fitting on 3D points using CovariancePlaneFitImpl [CovariancePlaneFit Definition].

template<class DataPoint , class _NFilter , int DiffType, typename T >
using	CovariancePlaneDer = CovariancePlaneDerImpl< DataPoint, _NFilter, DiffType, CovarianceFitDer< DataPoint, _NFilter, DiffType, MeanPositionDer< DataPoint, _NFilter, DiffType, T > > >
	Helper alias for Plane fitting on 3D points using CovariancePlaneFitImpl.

template<class DataPoint , class _NFilter , typename T >
using	MeanPlaneFit = MeanPlaneFitImpl< DataPoint, _NFilter, MeanNormal< DataPoint, _NFilter, MeanPosition< DataPoint, _NFilter, Plane< DataPoint, _NFilter, T > > > >
	Helper alias for Plane fitting on points using MeanPlaneFitImpl [MeanPlaneFit Definition].

template<class DataPoint , class _NFilter , typename T >
using	OrientedSphereFit = OrientedSphereFitImpl< DataPoint, _NFilter, MeanPosition< DataPoint, _NFilter, MeanNormal< DataPoint, _NFilter, AlgebraicSphere< DataPoint, _NFilter, T > > > >
	Helper alias for Oriented Sphere fitting on 3D points using OrientedSphereFitImpl [OrientedSphereFit Definition].

template<class DataPoint , class _NFilter , int DiffType, typename T >
using	OrientedSphereDer = OrientedSphereDerImpl< DataPoint, _NFilter, DiffType, MeanPositionDer< DataPoint, _NFilter, DiffType, T > >
	Helper alias for Oriented Sphere fitting on 3D points using OrientedSphereDerImpl.

template<class DataPoint , class _NFilter , typename T >
using	SphereFit = SphereFitImpl< DataPoint, _NFilter, AlgebraicSphere< DataPoint, _NFilter, T > >
	Helper alias for Sphere fitting on 3D points using SphereFitImpl.

template<class DataPoint , class _NFilter , typename T >
using	UnorientedSphereFit = UnorientedSphereFitImpl< DataPoint, _NFilter, MeanPosition< DataPoint, _NFilter, AlgebraicSphere< DataPoint, _NFilter, T > > >
	Helper alias for Oriented Sphere fitting on 3D points using UnorientedSphereFitImpl.

template<class DataPoint , class _NFilter , int DiffType, typename T >
using	UnorientedSphereDer = UnorientedSphereDerImpl< DataPoint, _NFilter, DiffType, MeanPositionDer< DataPoint, _NFilter, DiffType, T > >

template<class DataPoint >
using	NoWeightFunc = NoWeightFuncBase< DataPoint, CenteredNeighborhoodFrame >

template<class DataPoint >
using	NoWeightFuncGlobal = NoWeightFuncBase< DataPoint, GlobalNeighborhoodFrame >

template<typename Traits >
using	KdTreeKNearestIndexQuery = KdTreeKNearestQueryBase< Traits, KdTreeKNearestIterator, KNearestIndexQuery< typename Traits::IndexType, typename Traits::DataPoint::Scalar > >

template<typename Traits >
using	KdTreeKNearestPointQuery = KdTreeKNearestQueryBase< Traits, KdTreeKNearestIterator, KNearestPointQuery< typename Traits::IndexType, typename Traits::DataPoint > >

template<typename Traits >
using	KdTreeNearestIndexQuery = KdTreeNearestQueryBase< Traits, KdTreeNearestIterator, NearestIndexQuery< typename Traits::IndexType, typename Traits::DataPoint::Scalar > >

template<typename Traits >
using	KdTreeNearestPointQuery = KdTreeNearestQueryBase< Traits, KdTreeNearestIterator, NearestPointQuery< typename Traits::IndexType, typename Traits::DataPoint > >

template<typename Traits >
using	KdTreeRangeIndexQuery = KdTreeRangeQueryBase< Traits, KdTreeRangeIterator, RangeIndexQuery< typename Traits::IndexType, typename Traits::DataPoint::Scalar > >

template<typename Traits >
using	KdTreeRangePointQuery = KdTreeRangeQueryBase< Traits, KdTreeRangeIterator, RangePointQuery< typename Traits::IndexType, typename Traits::DataPoint > >

template<typename DataPoint >
using	KnnGraph = KnnGraphBase< KnnGraphDefaultTraits< DataPoint > >
	Public interface for KnnGraph datastructure.

Enumerations
enum	FIT_RESULT : unsigned char { STABLE = 0 , UNSTABLE = 1 , UNDEFINED = 2 , NEED_OTHER_PASS = 3 , CONFLICT_ERROR_FOUND = 4 , NBMAX }
	Enum corresponding to the state of a fitting method (and what the finalize function returns) More...

enum	DiffType : unsigned int { FitScaleDer = 0x01 , FitSpaceDer = 0x02 , FitScaleSpaceDer = FitScaleDer \| FitSpaceDer }
	Flags defining which derivatives need to be computed. More...

Detailed Description

This Source Code Form is subject to the terms of the Mozilla Public License, v.

2.0. If a copy of the MPL was not distributed with this file, You can obtain one at http://mozilla.org/MPL/2.0/.

Author: Thibault Lejemble

2.0. If a copy of the MPL was not distributed with this file, You can obtain one at http://mozilla.org/MPL/2.0/.

Author: Thibault Lejemble - Main source code; Nicolas Mellado - Improved error handling and bound check

Typedef Documentation

◆ CovarianceLineFit

template<class DataPoint , class _NFilter , typename T >

using Ponca::CovarianceLineFit = typedef CovarianceLineFitImpl<DataPoint, _NFilter, CovarianceFitBase<DataPoint, _NFilter, MeanPosition<DataPoint, _NFilter, Line<DataPoint, _NFilter, T> >> >

Helper alias for Line fitting on 3D points using CovarianceLineFitImpl.

Definition at line 64 of file covarianceLineFit.h.

◆ CovariancePlaneDer

template<class DataPoint , class _NFilter , int DiffType, typename T >

using Ponca::CovariancePlaneDer = typedef CovariancePlaneDerImpl<DataPoint, _NFilter, DiffType, CovarianceFitDer<DataPoint, _NFilter, DiffType, MeanPositionDer<DataPoint, _NFilter, DiffType, T> >>

Helper alias for Plane fitting on 3D points using CovariancePlaneFitImpl.

Definition at line 140 of file covariancePlaneFit.h.

◆ CovariancePlaneFit

template<class DataPoint , class _NFilter , typename T >

using Ponca::CovariancePlaneFit = typedef CovariancePlaneFitImpl<DataPoint, _NFilter, CovarianceFitBase<DataPoint, _NFilter, MeanPosition<DataPoint, _NFilter, Plane<DataPoint, _NFilter, T> >> >

Helper alias for Plane fitting on 3D points using CovariancePlaneFitImpl [CovariancePlaneFit Definition].

Definition at line 84 of file covariancePlaneFit.h.

◆ KdTreeKNearestIndexQuery

template<typename Traits >

using Ponca::KdTreeKNearestIndexQuery = typedef KdTreeKNearestQueryBase< Traits, KdTreeKNearestIterator, KNearestIndexQuery<typename Traits::IndexType, typename Traits::DataPoint::Scalar> >

Definition at line 54 of file kdTreeKNearestQueries.h.

◆ KdTreeKNearestPointQuery

template<typename Traits >

using Ponca::KdTreeKNearestPointQuery = typedef KdTreeKNearestQueryBase< Traits, KdTreeKNearestIterator, KNearestPointQuery<typename Traits::IndexType, typename Traits::DataPoint> >

Definition at line 57 of file kdTreeKNearestQueries.h.

◆ KdTreeNearestIndexQuery

template<typename Traits >

using Ponca::KdTreeNearestIndexQuery = typedef KdTreeNearestQueryBase< Traits, KdTreeNearestIterator, NearestIndexQuery<typename Traits::IndexType, typename Traits::DataPoint::Scalar> >

Definition at line 59 of file kdTreeNearestQueries.h.

◆ KdTreeNearestPointQuery

template<typename Traits >

using Ponca::KdTreeNearestPointQuery = typedef KdTreeNearestQueryBase< Traits, KdTreeNearestIterator, NearestPointQuery<typename Traits::IndexType, typename Traits::DataPoint> >

Definition at line 62 of file kdTreeNearestQueries.h.

◆ KdTreeRangeIndexQuery

template<typename Traits >

using Ponca::KdTreeRangeIndexQuery = typedef KdTreeRangeQueryBase< Traits, KdTreeRangeIterator, RangeIndexQuery<typename Traits::IndexType, typename Traits::DataPoint::Scalar> >

Definition at line 95 of file kdTreeRangeQueries.h.

◆ KdTreeRangePointQuery

template<typename Traits >

using Ponca::KdTreeRangePointQuery = typedef KdTreeRangeQueryBase< Traits, KdTreeRangeIterator, RangePointQuery<typename Traits::IndexType, typename Traits::DataPoint> >

Definition at line 98 of file kdTreeRangeQueries.h.

◆ KnnGraph

template<typename DataPoint >

using Ponca::KnnGraph = typedef KnnGraphBase<KnnGraphDefaultTraits<DataPoint> >

Public interface for KnnGraph datastructure.

Provides default implementation of the KnnGraph

See also: KnnGraphDefaultTraits for the default trait interface documentation.; KnnGraphBase for complete API

Definition at line 31 of file knnGraph.h.

◆ MeanPlaneFit

template<class DataPoint , class _NFilter , typename T >

using Ponca::MeanPlaneFit = typedef MeanPlaneFitImpl<DataPoint, _NFilter, MeanNormal<DataPoint, _NFilter, MeanPosition<DataPoint, _NFilter, Plane<DataPoint, _NFilter, T> >> >

Helper alias for Plane fitting on points using MeanPlaneFitImpl [MeanPlaneFit Definition].

Definition at line 56 of file meanPlaneFit.h.

◆ NoWeightFunc

template<class DataPoint >

using Ponca::NoWeightFunc = typedef NoWeightFuncBase<DataPoint, CenteredNeighborhoodFrame>

Definition at line 366 of file weightFunc.h.

◆ NoWeightFuncGlobal

template<class DataPoint >

using Ponca::NoWeightFuncGlobal = typedef NoWeightFuncBase<DataPoint, GlobalNeighborhoodFrame>

Definition at line 370 of file weightFunc.h.

◆ OrientedSphereDer

template<class DataPoint , class _NFilter , int DiffType, typename T >

using Ponca::OrientedSphereDer = typedef OrientedSphereDerImpl<DataPoint, _NFilter, DiffType, MeanPositionDer<DataPoint, _NFilter, DiffType, T> >

Helper alias for Oriented Sphere fitting on 3D points using OrientedSphereDerImpl.

Definition at line 141 of file orientedSphereFit.h.

◆ OrientedSphereFit

template<class DataPoint , class _NFilter , typename T >

using Ponca::OrientedSphereFit = typedef OrientedSphereFitImpl<DataPoint, _NFilter, MeanPosition<DataPoint, _NFilter, MeanNormal<DataPoint, _NFilter, AlgebraicSphere<DataPoint, _NFilter, T> >> >

Helper alias for Oriented Sphere fitting on 3D points using OrientedSphereFitImpl [OrientedSphereFit Definition].

Definition at line 52 of file orientedSphereFit.h.

◆ SphereFit

template<class DataPoint , class _NFilter , typename T >

using Ponca::SphereFit = typedef SphereFitImpl<DataPoint, _NFilter, AlgebraicSphere<DataPoint, _NFilter, T> >

Helper alias for Sphere fitting on 3D points using SphereFitImpl.

Definition at line 89 of file sphereFit.h.

◆ UnorientedSphereDer

template<class DataPoint , class _NFilter , int DiffType, typename T >

using Ponca::UnorientedSphereDer = typedef UnorientedSphereDerImpl<DataPoint, _NFilter, DiffType, MeanPositionDer<DataPoint, _NFilter, DiffType, T> >

Definition at line 122 of file unorientedSphereFit.h.

◆ UnorientedSphereFit

template<class DataPoint , class _NFilter , typename T >

using Ponca::UnorientedSphereFit = typedef UnorientedSphereFitImpl<DataPoint, _NFilter, MeanPosition<DataPoint, _NFilter, AlgebraicSphere<DataPoint, _NFilter, T> >>

Helper alias for Oriented Sphere fitting on 3D points using UnorientedSphereFitImpl.

Definition at line 73 of file unorientedSphereFit.h.

Enumeration Type Documentation

◆ DiffType

enum Ponca::DiffType : unsigned int

Flags defining which derivatives need to be computed.

Warning: Flags have to be combined using |

Enumerator
FitScaleDer	Flag indicating a scale differentiation.
FitSpaceDer	Flag indicating a space differentiation.
FitScaleSpaceDer	Flag indicating a scale-space differentiation.

Definition at line 33 of file enums.h.

◆ FIT_RESULT

enum Ponca::FIT_RESULT : unsigned char

Enum corresponding to the state of a fitting method (and what the finalize function returns)

Enumerator
STABLE	The fitting is stable and ready to use.
UNSTABLE	The fitting is ready to use but it is considered as unstable (if the number of neighbors is low for example)
UNDEFINED	The fitting is undefined, you can't use it for valid results.
NEED_OTHER_PASS	The fitting procedure needs to analyse the neighborhood another time.
CONFLICT_ERROR_FOUND	Multiple classes of the fitting procedure initialize the primitive. Should be treated as error.
NBMAX	Nb enums.

Definition at line 14 of file enums.h.

Classes

Typedefs

Enumerations

Detailed Description

Typedef Documentation

◆ CovarianceLineFit

◆ CovariancePlaneDer

◆ CovariancePlaneFit

◆ KdTreeKNearestIndexQuery

◆ KdTreeKNearestPointQuery

◆ KdTreeNearestIndexQuery

◆ KdTreeNearestPointQuery

◆ KdTreeRangeIndexQuery

◆ KdTreeRangePointQuery

◆ KnnGraph

◆ MeanPlaneFit

◆ NoWeightFunc

◆ NoWeightFuncGlobal

◆ OrientedSphereDer

◆ OrientedSphereFit

◆ SphereFit

◆ UnorientedSphereDer

◆ UnorientedSphereFit

Enumeration Type Documentation

◆ DiffType

◆ FIT_RESULT