Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

[detail level 1234]

NPonca	This Source Code Form is subject to the terms of the Mozilla Public License, v
Ninternal	Copyright (c) 2022 Jacques-Olivier Lachaud (jacqu.nosp@m.es-o.nosp@m.livie.nosp@m.r.la.nosp@m.chaud.nosp@m.@uni.nosp@m.v-sav.nosp@m.oie..nosp@m.fr) Laboratory of Mathematics (CNRS, UMR 5807), University of Savoie, France,
NFactory
CFactoryEntryTypeExtractor
CFactoryEntryTypeExtractor< std::tuple< Ts... > >
Cfilter
Cfilter< Pred >
Cfilter< Pred, T, Ts... >
CfilterList
CfilterList< Pred, std::tuple< Ts... > >
Cconjunction
CWeingartenCurvatureEstimatorBase	Compute principal curvatures from a base class providing fundamental forms
CTriangle	Stores the three points and normals of the triangles and provides access to Corrected Normal Current formula
CTriangleGenerator
CTriangleGenerator< UniformGeneration, P >
CTriangleGenerator< IndependentGeneration, P >
CHexagramBase
CTriangleGenerator< HexagramGeneration, P >
CTriangleGenerator< AvgHexagramGeneration, P >
CCNCEigen	This class contains some stand-alone CorrectedNormalCurrent formulas for triangles, using eigen as linear algebra backend
CSphericalTriangle	Represents a triangle on a sphere of radius one
CComputeObjectList	List of compute object that can be iterated over
CFactoryBase	Base class for factory
CNoWeightFilterBase	Weighting function that set uniform weight to all samples
CBitSet	A simple BitSet implementation that mimics a set of indices
CHashDefaultFunctor
CHashSet	Stores unique signed integer values in a contiguous array
CLimitedPriorityQueue	The LimitedPriorityQueue class is similar to std::priority_queue but has a limited capacity and handles the comparison differently
CStack	Stack with fixed-size storage
CPointPositionNormal	Point data type containing the position and normal vectors
CPointPosition	Point data type containing only containing the position vector
CPointPositionNormalBinding	Variant of the PointPositionNormal data type that uses external raw data
CPointPositionNormalLazyBinding	Variant of the PointPositionNormal data type that uses external raw data.
CStringLiteral	StringLiteral as template parameters
CBasketComputeObject	Base ComputeObject for the Basket classes
CBasketDiff	Aggregator class used to declare specialized structures with derivatives computations, using CRTP
CBasket	Aggregator class used to declare specialized structures using CRTP
CBasketUnitBase	Base class of any computation unit of a Basket
CBasketDiffUnitBase	Base class of any computation unit of a BasketDiff
CGLSParam	Growing Least Squares reparametrization of the OrientedSphereFit
CGLSDer	Differentiation of GLSParam
CHeightField	Internal base classe for height fields
CQuadraticHeightField	Quadratic height field defined as \(h(u,v)=h_{uu}u^2 + h_{vv}v^2 + h_{uv}uv + h_u u + h_v v + h_c \)
CRestrictedQuadraticHeightField	Quadratic height field defined as \(h(u,v)=h_{uu}u^2 + h_{vv}v^2 + h_{uv}uv + h_c \)
CMlsSphereFitDer	Extension performing derivation of the mls surface
CFundamentalFormWeingartenEstimator	Compute a Weingarten map from fundamental forms
CNormalDerivativeWeingartenEstimator	Compute a Weingarten map from the spatial derivatives of the normal field \( N \)
CWeingartenCurvatureEstimator	Compute principal curvatures from a base class providing fundamental forms.
CWeingartenCurvatureEstimatorDer	Compute principal curvatures from a base class providing fundamental forms.
CCovarianceLineFitImpl	Line fitting procedure that minimize the orthogonal distance between the samples and the fitted primitive
CCovariancePlaneFitImpl	Plane fitting procedure using only points position
CCovariancePlaneDerImpl	[CovariancePlaneFit Definition]
CMeanPlaneFitImpl	Plane fitting procedure computing the mean position and orientation from oriented points
CMongePatch	Monge Patch primitive, defined as \( \mathbf{x}(u,v)= (u,v,h(u,v)) \), with \(h(u,v)\) defined by a Base class
CMongePatchQuadraticFitImpl	Extension to compute the best fit quadric on 3d points expressed as \(f(u,v)=h\)
CMongePatchRestrictedQuadraticFitImpl	Extension to compute the best fit restricted quadric on 3d points expressed as \(f(u,v)=h\)
COrientedSphereFitImpl	Algebraic Sphere fitting procedure on oriented point sets
COrientedSphereDerImpl	[OrientedSphereFit Definition]
CSphereFitImpl	Algebraic Sphere fitting procedure on point set without normals
CUnorientedSphereFitImpl	Algebraic Sphere fitting procedure on point sets with non-oriented normals
CUnorientedSphereDerImpl
CAlgebraicSphere	Algebraic Sphere primitive
CLine	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 \(l(t)=\mathbf{o}+t\overrightarrow{\mathbf{d}}, t\in \mathbb{R}\)
CPlane	Implicit hyperplane defined by an homogeneous vector \(\mathbf{p}\)
CCovarianceBase	Procedure that compute and decompose the covariance matrix of the neighbors positions
CCovarianceDer	Internal generic class computing the derivatives of covariance matrix computed by covarianceBase
CDryFit	Empty fitting object doing no computation
CMeanPosition	Compute the barycenter of the input points
CMultipassStatus	Helper class to check for status of required extensions
CCNC	Corrected Normal Current Fit type
CComputeObject	ComputeObject is a virtual object that represents an algorithm which can be used with the compute functions
CSingleEvaluationScheme	SingleEvaluationScheme
CMLSEvaluationScheme	Computes the fit using the Moving Least Squares approach
CDirectProjectionOperator	Project a point using the primitive projection operator
CGradientDescentProjectionOperator	Project a point using the gradinet of the sdf
ChasFirstFundamentalForm	\FIXME create a macro to automatically generate the testing functions
ChasFirstFundamentalForm< T, std::void_t< decltype(std::declval< T >().firstFundamentalForm())> >
CFactory	Default factory templated on Point, Filter and Derivative
CFactory< P, NF, DerType >	Default factory templated on Point, Filter and Derivative
CMethodProvider	Class to check for if an entry has a corresponding Id
Cpred	A type that behaves as value
CDerivativesProvider
CNotDerivativesProvider
CProjectionOperatorProvider
CNotProjectionOperatorProvider
CImplicitPrimitiveProvider
CNotImplicitPrimitiveProvider
CAlgebraicSphereProvider
CNotAlgebraicSphereProvider
CMeanPositionProvider
CNotMeanPositionProvider
CMeanNormalProvider
CNotMeanNormalProvider
CGLSParamProvider
CNotGLSParamProvider
CGeomVarProvider
CNotGeomVarProvider
CPlaneProvider
CNotPlaneProvider
CLineProvider
CNotLineProvider
CHeightFieldProvider
CNotHeightFieldProvider
CMongePatchProvider
CNotMongePatchProvider
CPositionCovarianceProvider
CNotPositionCovarianceProvider
CPrincipalCurvaturesProvider
CNotPrincipalCurvaturesProvider
CTangentPlaneBasisProvider
CNotTangentPlaneBasisProvider
CMeanCurvatureProvider
CNotMeanCurvatureProvider
CFactoryEntry	Factory entry
CCenteredNeighborhoodFrame	NeighborhoodFrame that express 3d points relatively to a prescribed center
CGlobalNeighborhoodFrame	NeighborhoodFrame that keep points in the global frame without applying any transformation This class is useful to compute direct fits in the embedding space, without paying the cost to express neighbors relatively to an evaluation point
CDistWeightFilter	Weight neighbors according to the Euclidean distance between a query and a reference position
CFilterWithAttributes	This class extends a NeighborFilter class to also store additional data, for use outside the scope of this class
CNoWeightFilter	Weighting function that set uniform weight to all samples, but transform neighbors coordinates to local frame
CNoWeightFilterGlobal	Weighting function that set uniform weight to all samples and keep neighbors coordinates in global frame
CConstantWeightKernel	Concept::WeightKernelConcept returning a constant value
CSmoothWeightKernel	Compact smooth WeightKernel of 2nd degree, defined in \(\left[0 : 1\right]\) Special case of PolynomialSmoothWeightKernel<Scalar, 2, 2>
CPolynomialSmoothWeightKernel	Compact generalised version of SmoothWeightKernel with arbitrary degrees : \( w(x)=(x^n-1)^m \)
CWendlandWeightKernel	Compact Wendland WeightKernel defined in \(\left[0 : 1\right]\)
CSingularWeightKernel	Compact singular WeightKernel defined in \(\left]0 : 1\right]\)
CCompactExpWeightKernel	Compact Exponential WeightKernel defined in \(\left[0 : 1\right]\)
CGaussianWeightKernel	Non-compact Gaussian WeightKernel
CIndexSquaredDistance	Associates an index with a distance
CKdTreeKNearestIterator	Input iterator to read the KdTreeKNearestQueryBase object
CKdTreeNearestIterator	Input iterator to read the KdTreeKNearestQueryBase object
CKdTreeRangeIterator	Input iterator to read the KdTreeRangeQueryBase object
CKdTreeBase	Constructor that allows the use of prebuilt KdTree containers.
CDefaultConverter	Convert a custom point container to the KdTree PointContainer using DataPoint default constructor
CKdTreeDenseBase	Customizable base class for dense KdTree datastructure
CKdTreeSparseBase	Customizable base class for KdTreeSparse datastructure
CKdTree	Abstract KdTree type with KdTreeDefaultTraits
CStaticKdTree	A KdTree type with KdTreeDefaultTraits that doesn't define the build function
CKdTreeDense	Public interface for dense KdTree datastructure
CKdTreeSparse	Public interface for sparse KdTree datastructure
CStaticKdTreeBase	Customizable static base class for KdTree datastructure implementations
CBuffers	Internal structure storing all the buffers used by the KdTree
CKdTreeDefaultInnerNode
CKdTreeDefaultLeafNode
CKdTreeCustomizableNode	The node type used by default by the kd-tree
CKdTreeDefaultNode
CKdTreeDefaultTraits	The default traits type used by the kd-tree
CKdTreePointerTraits	Variant to the KdTree Traits type that uses pointers as internal storage instead of an STL-like container
CKdTreeKNearestQueryBase	Extension of the Query class that allows to read the result of a k-nearest neighbors search on the KdTree
CKdTreeNearestQueryBase	Extension of the Query class that allows to read the result of a nearest neighbor search on the KdTree
CKdTreeQuery	Query object that provides a method to search neighbors on the KdTree depending on a distance threshold
CKdTreeRangeQueryBase	Extension of the Query class that allows to read the result of a range neighbors search on the KdTree
CNeighborGraphBufferBase	Internal structure storing the buffers used by a neighbor graph
CAbstractNeighborGraph	Base class for neighbor graphs
CNeighborGraphOneConnectedIterator	Base iterator class for NeighborGraphOneConnectedQuery
CNeighborGraphRangeQuery	Extension of the Query class that allows to read the result of a range neighbor search on the KnnGraph
CNeighborGraphRangeIterator	Input iterator to read the NeighborGraphRangeQuery object
CKnnGraphBuffers	Buffer class for StaticKnnGraphBase
CStaticKnnGraphBase	Customizable base class for KnnGraph datastructure
CKnnGraphBase
CNeighborGraphBuffer	Buffer class for StaticNeighborGraphBase
CStaticNeighborGraphBase	Static generic neighbor graph (does not include build functions)
CNeighborGraphBase
CNeighborGraphDefaultTraits	The default traits type used by the neighbor graph
CNeighborGraphPointerTraits	Variant to the NeighborGraphDefaultTraits that uses pointers as internal storage instead of an STL-like container
CNeighborGraphQueryOutputType	Output type of the NeighborGraphOneConnectedQuery
CNeighborGraphOneConnectedQuery	Extension of the Query class that allows to read the neighbors that are directly connected to the query point in the neighbor graph
CQueryInputBase	Base class for queries input type
CQueryOutputBase	Base class for queries output types
CDummyOutputParameter
CQueryInput	Base class for Query input type
CQueryInputIsIndex	Extension of QueryInput that handles an index based search, in a partitioning structure
CQueryInputIsPosition	Extension of QueryInput that handles a position based search, in a partitioning structure
CQueryOutputIsRange	Class to construct the range query output
CQueryOutputIsNearest	Class to construct the nearest query output
CQueryOutputIsKNearest	Class to construct the knearest queries
CQuery	Composes the Query object depending on an input type and output type
CMeanNormal	Compute the mean normal of the input points
CMeanNormalDer	Compute the derivatives of the input points mean normal
CMeanPositionDer	Compute the derivatives of the input points barycenter