Reen::NormalEstimation Class Reference
#include <Segmentation.h>
Public Member Functions | |
NormalEstimation (const Points::PointKernel &) | |
void | perform (std::vector< Base::Vector3d > &normals) |
Perform the normal estimation. More... | |
void | setKSearch (int k) |
Set the number of k nearest neighbors to use for the feature estimation. More... | |
void | setSearchRadius (double radius) |
Set the sphere radius that is to be used for determining the nearest neighbors used for the feature estimation. More... | |
Constructor & Destructor Documentation
◆ NormalEstimation()
Reen::NormalEstimation::NormalEstimation | ( | const Points::PointKernel & | ) |
Member Function Documentation
◆ perform()
void Reen::NormalEstimation::perform | ( | std::vector< Base::Vector3d > & | normals | ) |
Perform the normal estimation.
- Parameters
-
[out] the estimated normals
◆ setKSearch()
void Reen::NormalEstimation::setKSearch | ( | int | k | ) |
Set the number of k nearest neighbors to use for the feature estimation.
- Parameters
-
[in] k the number of k-nearest neighbors
◆ setSearchRadius()
void Reen::NormalEstimation::setSearchRadius | ( | double | radius | ) |
Set the sphere radius that is to be used for determining the nearest neighbors used for the feature estimation.
- Parameters
-
[in] radius the sphere radius used as the maximum distance to consider a point a neighbor
The documentation for this class was generated from the following file:
- src/Mod/ReverseEngineering/App/Segmentation.h