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,
►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
CCurvatureEstimatorBase	Base class for any 3d curvature estimator: holds \(k_{\min}\), \(k_{\max}\) and associated vectors, such that \( k_{\min} <= k_{\max} \)
CHexagramBase
CTriangle	Stores the three points and normals of the triangles and provides access to Corrected Normal Current formula
CTriangleGenerator
CTriangleGenerator< AvgHexagramGeneration, P >
CTriangleGenerator< HexagramGeneration, P >
CTriangleGenerator< IndependentGeneration, P >
CTriangleGenerator< UniformGeneration, P >
CWeingartenCurvatureEstimatorBase	Compute principal curvatures from a base class providing fundamental forms
CAlgebraicSphere	Algebraic Sphere primitive
CBasket	Aggregator class used to declare specialized structures using CRTP
CBasketComputeObject	Base ComputeObject for the Basket classes
CBasketDiff	Aggregator class used to declare specialized structures with derivatives computations, using CRTP
CCenteredNeighborhoodFrame	NeighborhoodFrame that express 3d points relatively to a prescribed center
CCNC	Corrected Normal Current Fit type
CCompactExpWeightKernel	Compact Exponential WeightKernel defined in \(\left[0 : 1\right]\)
CComputeObject	ComputeObject is a virtual object that represents an algorithm which can be used with the compute functions
CConstantWeightKernel	Concept::WeightKernelConcept returning a constant value
CCovarianceFitBase	Procedure that compute and decompose the covariance matrix of the neighbors positions in \(3d\)
CCovarianceFitDer	Internal generic class computing the derivatives of covariance matrix computed by CovarianceFitBase
CCovarianceLineFitImpl	Line fitting procedure that minimize the orthogonal distance between the samples and the fitted primitive
CCovariancePlaneDerImpl	[CovariancePlaneFit Definition]
CCovariancePlaneFitImpl	Plane fitting procedure using only points position
CCurvatureEstimator	Make CurvatureEstimatorBase available to standard Basket object
CCurvatureEstimatorDer	Make CurvatureEstimatorBase available to BasketDiff object
CDistWeightFunc	Weight neighbors according to the euclidean distance between a query and a reference position
CDryFit	Empty fitting object doing no computation
CFundamentalFormWeingartenEstimator	Compute a Weingarten map from fundamental forms
CGaussianWeightKernel	Non-compact Gaussian WeightKernel
CGlobalNeighborhoodFrame	NeighborhoodFrame that keep points in the global frame without applying any transformation
CGLSDer	Differentiation of GLSParam
CGLSParam	Growing Least Squares reparametrization of the OrientedSphereFit
ChasFirstFundamentalForm	\FIXME create a macro to automatically generate the testing functions
ChasFirstFundamentalForm< T, std::void_t< decltype(std::declval< T >().firstFundamentalForm())> >
ChasNormal	Utility structure used to detect if a Point has a normal field
ChasNormal< T, std::void_t< decltype(std::declval< T >().normal())> >
CHeightField	Internal base classe for height fields
CIndexSquaredDistance	Associates an index with a distance
CKdTree	Abstract KdTree type with KdTreeDefaultTraits
►CKdTreeBase	[KdTreeSparse type definition]
CDefaultConverter	Convert a custom point container to the KdTree PointContainer using DataPoint default constructor
CKdTreeCustomizableNode	The node type used by default by the kd-tree
CKdTreeDefaultInnerNode
CKdTreeDefaultLeafNode
CKdTreeDefaultNode
CKdTreeDefaultTraits	The default traits type used by the kd-tree
CKdTreeDense	[KdTree type definition]
CKdTreeDenseBase	Customizable base class for dense KdTree datastructure
CKdTreeKNearestIterator	Input iterator to read the KdTreeKNearestQueryBase object
CKdTreeKNearestQueryBase	Extension of the Query class that allows to read the result of a k-nearest neighbors search on the KdTree
CKdTreeNearestIterator	Input iterator to read the KdTreeKNearestQueryBase object
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
CKdTreeRangeIterator	Input iterator to read the KdTreeRangeQueryBase object
CKdTreeRangeQueryBase	Extension of the Query class that allows to read the result of a range neighbors search on the KdTree
CKdTreeSparse	[KdTreeDense type definition]
CKdTreeSparseBase	Customizable base class for KdTreeSparse datastructure
CKNearestIndexQuery	Base Query class combining QueryInputIsIndex and QueryOutputIsKNearest
CKNearestPointQuery	Base Query class combining QueryInputIsPosition and QueryOutputIsKNearest
CKnnGraphBase	Customizable base class for KnnGraph datastructure
CKnnGraphDefaultTraits	The default traits type used by the kd-tree
CKnnGraphKNearestQuery	Extension of the Query class that allows to read the result of a k-nearest neighbors search on the KnnGraph
CKnnGraphRangeIterator	Input iterator to read the KnnGraphRangeQuery object
CKnnGraphRangeQuery	Extension of the Query class that allows to read the result of a range neighbor search on the KnnGraph
Climited_priority_queue	The limited_priority_queue class is similar to std::priority_queue but has a limited capacity and handles the comparison differently
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 \(l(t)=\mathbf{o}+t\overrightarrow{\mathbf{d}}, t\in \mathbb{R}\)
CMeanNormal	Compute the mean normal of the input points
CMeanNormalDer	Compute the derivatives of the input points mean normal
CMeanPlaneFitImpl	Plane fitting procedure computing the mean position and orientation from oriented points
CMeanPosition	Compute the barycenter of the input points
CMeanPositionDer	Compute the derivatives of the input points barycenter
CMlsSphereFitDer	Extension performing derivation of the mls surface
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 \(f(u,v)=h\)
CNearestIndexQuery	Base Query class combining QueryInputIsIndex and QueryOutputIsNearest
CNearestPointQuery	Base Query class combining QueryInputIsPosition and QueryOutputIsNearest
CNeighborFilterStoreNormal	This class extends a NeighborFilter class to also store the normal of the evaluation point, for use outside the scope of this class
CNormalDerivativeWeingartenEstimator	Compute a Weingarten map from the spatial derivatives of the normal field \( N \)
CNoWeightFuncBase	Base Weighting function that set uniform weight to all samples
COrientedSphereDerImpl	[OrientedSphereFit Definition]
COrientedSphereFitImpl	Algebraic Sphere fitting procedure on oriented point sets
CPlane	Implicit hyperplane defined by an homogeneous vector \(\mathbf{p}\)
CPointPosition	Point data type containing only containing the position vector
CPointPositionNormal	Point data type containing the position and normal vectors
CPointPositionNormalBinding	Variant of the PointPositionNormal data type that uses external raw data
CPointPositionNormalLazyBinding	Variant of the PointPositionNormal data type that uses external raw data.
CPolynomialSmoothWeightKernel	Compact generalised version of SmoothWeightKernel with arbitrary degrees : \( w(x)=(x^n-1)^m \)
CPrimitiveBase	Primitive base class
CPrimitiveDer	Generic class performing the Fit derivation
CQuadraticHeightField	Quadratic height field defined as \(h(u,v)=h_{uu}u^2 + h_{vv}v^2 + h_{uv}uv + h_u u + h_v v + h_c \)
CQuery	Composes the Query object depending on an input type and output type
CQueryInput	Base class for Query input type
CQueryInputBase	Base class for queries 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
►CQueryOutputBase	Base class for queries output types
CDummyOutputParameter
CQueryOutputIsKNearest	Class to construct the knearest queries
CQueryOutputIsNearest	Class to construct the nearest query output
CQueryOutputIsRange	Class to construct the range query output
CRangeIndexQuery	Base Query class combining QueryInputIsIndex and QueryOutputIsRange
CRangePointQuery	Base Query class combining QueryInputIsPosition and QueryOutputIsRange
CRestrictedQuadraticHeightField	Quadratic height field defined as \(h(u,v)=h_{uu}u^2 + h_{vv}v^2 + h_{uv}uv + h_c \)
CSingularWeightKernel	Compact singular WeightKernel defined in \(\left]0 : 1\right]\)
CSmoothWeightKernel	Compact smooth WeightKernel of 2nd degree, defined in \(\left[0 : 1\right]\) Special case of PolynomialSmoothWeightKernel<Scalar, 2, 2>
CSphereFitImpl	Algebraic Sphere fitting procedure on point set without normals
CStack	Stack with fixed-size storage
CUnorientedSphereDerImpl
CUnorientedSphereFitImpl	Algebraic Sphere fitting procedure on point sets with non-oriented normals
CWeingartenCurvatureEstimator	Compute principal curvatures from a base class providing fundamental forms.
CWeingartenCurvatureEstimatorDer	Compute principal curvatures from a base class providing fundamental forms.
CWendlandWeightKernel	Compact Wendland WeightKernel defined in \(\left[0 : 1\right]\)