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Ponca::BasketComputeObject< _Derived, _Base > Struct Template Reference
Base ComputeObject for the Basket classes. More...
#include <basket.h>
Inheritance diagram for Ponca::BasketComputeObject< _Derived, _Base >: Collaboration diagram for Ponca::BasketComputeObject< _Derived, _Base >:Public Types | |
| using | Base = _Base |
| using | Derived = _Derived |
| < | |
| using | Scalar = typename Base::Scalar |
| Alias to the Derived type. | |
Public Member Functions | |
| template<typename IteratorBegin , typename IteratorEnd > | |
| FIT_RESULT | compute (const IteratorBegin &begin, const IteratorEnd &end) |
| Convenience function for STL-like iterators Add neighbors stored in a container using STL-like iterators, and call finalize at the end. | |
| template<typename IndexRange , typename PointContainer > | |
| FIT_RESULT | computeWithIds (IndexRange ids, const PointContainer &points) |
| Convenience function to iterate over a subset of samples in a PointContainer Add neighbors stored in a PointContainer and sampled using indices stored in ids. | |
| template<typename PointContainer > | |
| FIT_RESULT | computeMLS (const PointContainer &points, const int mlsIter=5, const Scalar epsilon=Eigen::NumTraits< Scalar >::dummy_precision()) |
| Computes the fit using the MLS iteration process. | |
| template<typename IndexRange , typename PointContainer > | |
| FIT_RESULT | computeWithIdsMLS (const IndexRange &ids, const PointContainer &points, const int mlsIter=5, const Scalar epsilon=Eigen::NumTraits< Scalar >::dummy_precision()) |
| Computes the fit using the MLS iteration process. | |
| Public Member Functions inherited from Ponca::ComputeObject< _Derived > | |
| FIT_RESULT | compute (const Container &c) |
| Convenience function for STL-like container. | |
| FIT_RESULT | compute (const IteratorBegin &, const IteratorEnd &) |
| Convenience function for STL-like iterators. | |
| FIT_RESULT | computeWithIds (IndexRange, const PointContainer &) |
| Convenience function to iterate over a subset of samples in a PointContainer. | |
Protected Member Functions | |
| template<typename Func > | |
| FIT_RESULT | computeMLSImpl (Func &&computeFunc, const int mlsIter, const Scalar epsilon) |
| Computes the fit using the MLS iteration process. | |
| Protected Member Functions inherited from Ponca::ComputeObject< _Derived > | |
| _Derived & | derived () |
| Retrieve the top layer object Returns a reference to the derived class so that we can use its overwritten methods. | |
Detailed Description
Base ComputeObject for the Basket classes.
Implements the compute methods for fitting: compute, computeWithIds, ... Checkout Fitting Module: User Manual for more details
The various implementations of Ponca::Concept are mixed through specializations of the BasketDiff and Basket classes:
using myFitDer =
DiffType, // Differentiation space: FitScaleDer, FitSpaceDer, or
FitScaleDer|FitSpaceDer ComputationalDerivativesConcept1, // Implementation of ComputationalDerivativesConcept
ComputationalDerivativesConcept2, // Implementation of ComputationalDerivativesConcept
... , //
>; // Final structure to fit and derive a primitive over weighted samples
Aggregator class used to declare specialized structures with derivatives computations,...
Definition basket.h:276
Aggregator class used to declare specialized structures using CRTP.
Definition basket.h:318
- Template Parameters
-
Derived Derived class that provides the addNeighbor method (either Basket or BasketDiff) Base Base class that provides, through the CRTP the init, startNewPass, addNeighbor and finalize methods
Member Typedef Documentation
◆ Base
| using Ponca::BasketComputeObject< _Derived, _Base >::Base = _Base |
◆ Derived
| using Ponca::BasketComputeObject< _Derived, _Base >::Derived = _Derived |
◆ Scalar
| using Ponca::BasketComputeObject< _Derived, _Base >::Scalar = typename Base::Scalar |
Member Function Documentation
◆ compute()
|
inline |
Convenience function for STL-like iterators Add neighbors stored in a container using STL-like iterators, and call finalize at the end.
The fit is evaluated multiple time if needed (see NEED_OTHER_PASS)
- See also
- addNeighbor()
◆ computeMLS()
template<typename PointContainer >
|
inline |
Computes the fit using the MLS iteration process.
The position of the projected point is outputted through the lastPosition argument.
- Parameters
-
points An STL-like container of points mlsIter The amount of MLS iteration that is being done for this fit
- Returns
- The result of the fit
- Template Parameters
-
PointContainer STL-like container storing the points
◆ computeMLSImpl()
|
inlineprotected |
Computes the fit using the MLS iteration process.
The position of the projected point is outputted through the lastPosition argument.
- Parameters
-
points An STL-like container of points mlsIter The amount of MLS iteration that is being done for this fit
- Returns
- The result of the fit
◆ computeWithIds()
|
inline |
Convenience function to iterate over a subset of samples in a PointContainer Add neighbors stored in a PointContainer and sampled using indices stored in ids.
- Template Parameters
-
IndexRange STL-Like range storing indices of the neighbors PointContainer STL-like container storing the points
◆ computeWithIdsMLS()
|
inline |
Computes the fit using the MLS iteration process.
The position of the projected point is outputted through the lastPosition argument.
- Parameters
-
points An STL-like container of points mlsIter The amount of MLS iteration that is being done for this fit
- Returns
- The result of the fit
- Template Parameters
-
IndexRange STL-Like range storing indices PointContainer STL-like container storing the points
