Class List

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

[detail level 123]

▼NPonca	This Source Code Form is subject to the terms of the Mozilla Public License, v
CAlgebraicSphere	Algebraic Sphere primitive
CBasket	Aggregator class used to declare specialized structures using CRTP
CBasketDiff	Aggregator class used to declare specialized structures with derivatives computations, using CRTP
CCompactExpWeightKernel	Compact Exponential WeightKernel defined in \(\left[0 : 1\right]\)
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
CCurvatureEstimatorBase	Base class for any 3d curvature estimator: holds \(k_{\min}\), \(k_{\max}\) and associated vectors, such that \( k_{\min} <= k_{\max} \)
CDistWeightFunc	Weighting function based on the euclidean distance between a query and a reference position
CDryFit	Empty fitting object doing no computation
CGLSDer	Differentiation of GLSParam
CGLSParam	Growing Least Squares reparemetrization of the OrientedSphereFit
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
CKdTreeKNearestQueryBase
CKdTreeNearestIterator
CKdTreeNearestQueryBase
CKdTreeQuery
CKdTreeRangeIterator
CKdTreeRangeQueryBase
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
CKnnGraphRangeIterator
CKnnGraphRangeQuery
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 barycenter of the input points + their normals
CMeanNormalDer
CMeanPlaneFitImpl	Plane fitting procedure computing the mean position and orientation from oriented points
CMeanPosition	Compute the barycenter of the input points
CMeanPositionDer
CMlsSphereFitDer	Extension performing derivation of the mls surface
CMongePatch	Extension to compute the best fit 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
CNormalCovarianceCurvatureEstimator	Extension to compute curvature values based on a covariance analysis of normal vectors of neighbors
CNormalDerivativesCurvatureEstimator	Extension to compute curvature values from the Weingarten map \( \frac{d N}{d \mathbf{x}} \)
COrientedSphereDerImpl	[OrientedSphereFit Definition]
COrientedSphereFitImpl	Algebraic Sphere fitting procedure on oriented point sets
CPlane	Implicit hyperplane defined by an homogeneous vector \(\mathbf{p}\)
CPrimitiveBase	Primitive base class
CPrimitiveDer	Generic class performing the Fit derivation
CProjectedNormalCovarianceCurvatureEstimator	Extension to compute curvature values based on a covariance analysis of normal vectors of neighbors projected onto the tangent plane
CQuery
CQueryInput	Base class for typed queries input type
CQueryInputBase	Base class for queries input type
CQueryInputIsIndex	Base class for queries storing points
CQueryInputIsPosition	Base class for queries storing points
▼CQueryOutputBase	Base class for queries output type
CDummyOutputParameter
CQueryOutputIsKNearest	Base class for knearest queries
CQueryOutputIsNearest	Base class for nearest queries
CQueryOutputIsRange	Base class for range queries
CRangeIndexQuery	Base Query class combining QueryInputIsIndex and QueryOutputIsRange
CRangePointQuery	Base Query class combining QueryInputIsPosition and QueryOutputIsRange
CSingularWeightKernel	Singular WeightKernel defined in \(\left]0 : 1\right]\)
CSmoothWeightKernel	Smooth WeightKernel defined in \(\left[0 : 1\right]\)
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
CWendlandWeightKernel	Wendland WeightKernel defined in \(\left[0 : 1\right]\)