Public Attributes
float	radius = 0

int	numNeis = 0

float	critAngle = PI2_F
	max allowed angle for triangles in fan

float	boundaryAngle = 0.9f * PI_F
	the vertex is considered as boundary if its neighbor ring has angle more than this value

const VertCoords *	trustedNormals = nullptr
	if oriented normals are known, they will be used for neighbor points selection

bool	automaticRadiusIncrease = true
	automatic increase of the radius if points outside can make triangles from original radius not-Delone

int	maxRemoves = INT_MAX
	the maximum number of optimization steps (removals) in local triangulation

std::vector< VertId > *	allNeighbors = nullptr
	optional output of considered neighbor points after filtering but before triangulation/optimization

float *	actualRadius = nullptr
	optional output: actual radius of neighbor search (after increase if any)

const PointCloud *	searchNeighbors = nullptr
	optional: if provided this cloud will be used for searching of neighbors (so it must have same validPoints)

Member Data Documentation

◆ actualRadius

float* MR::TriangulationHelpers::Settings::actualRadius = nullptr

optional output: actual radius of neighbor search (after increase if any)

std::vector<VertId>* MR::TriangulationHelpers::Settings::allNeighbors = nullptr

optional output of considered neighbor points after filtering but before triangulation/optimization

bool MR::TriangulationHelpers::Settings::automaticRadiusIncrease = true

automatic increase of the radius if points outside can make triangles from original radius not-Delone

float MR::TriangulationHelpers::Settings::boundaryAngle = 0.9f * PI_F

the vertex is considered as boundary if its neighbor ring has angle more than this value

float MR::TriangulationHelpers::Settings::critAngle = PI2_F

max allowed angle for triangles in fan

int MR::TriangulationHelpers::Settings::maxRemoves = INT_MAX

the maximum number of optimization steps (removals) in local triangulation

int MR::TriangulationHelpers::Settings::numNeis = 0

initially selects given number of nearest neighbours; if numNeis is positive then radius must be zero

float MR::TriangulationHelpers::Settings::radius = 0

initial radius of search for neighbours, it can be increased automatically; if radius is positive then numNeis must be zero

const PointCloud* MR::TriangulationHelpers::Settings::searchNeighbors = nullptr

optional: if provided this cloud will be used for searching of neighbors (so it must have same validPoints)

const VertCoords* MR::TriangulationHelpers::Settings::trustedNormals = nullptr

if oriented normals are known, they will be used for neighbor points selection

The documentation for this struct was generated from the following file: