CCCoreLib::DistanceComputationTools::Cloud2CloudDistancesComputationParams Struct Reference

Cloud-to-cloud 'nearest neighbors' distances computation parameters. More...

#include <DistanceComputationTools.h>

Collaboration diagram for CCCoreLib::DistanceComputationTools::Cloud2CloudDistancesComputationParams:

Public Member Functions
	Cloud2CloudDistancesComputationParams ()
	Default constructor/initialization.

Public Attributes
unsigned char	octreeLevel
	Level of subdivision of the octree at witch to apply the distance computation algorithm. More...
ScalarType	maxSearchDist
	Maximum search distance (true distance won't be computed if greater) More...
bool	multiThread
	Whether to use multi-thread or single thread mode. More...
int	maxThreadCount
	Maximum number of threads to use (0 = max)
LOCAL_MODEL_TYPES	localModel
	Type of local 3D modeling to use. More...
bool	useSphericalSearchForLocalModel
	Whether to use a fixed number of neighbors or a (sphere) radius for nearest neighbors search. More...
unsigned	kNNForLocalModel
	Number of neighbors for nearest neighbors search (local model) More...
ScalarType	radiusForLocalModel
	Radius for nearest neighbors search (local model) More...
bool	reuseExistingLocalModels
	Whether to use an approximation for local model computation. More...
ReferenceCloud *	CPSet
	Container of (references to) points to store the "Closest Point Set". More...
ScalarField *	splitDistances [3]
	Split distances (one scalar field per dimension: X, Y and Z)
bool	resetFormerDistances
	Whether to keep the existing distances as is (if any) or not. More...

Detailed Description

Cloud-to-cloud 'nearest neighbors' distances computation parameters.

Member Data Documentation

CPSet

ReferenceCloud* CCCoreLib::DistanceComputationTools::Cloud2CloudDistancesComputationParams::CPSet

Container of (references to) points to store the "Closest Point Set".

The Closest Point Set corresponds to (the reference to) each compared point's closest neighbor.

Warning

Not compatible with max search distance (see maxSearchDist)

kNNForLocalModel

unsigned CCCoreLib::DistanceComputationTools::Cloud2CloudDistancesComputationParams::kNNForLocalModel

Number of neighbors for nearest neighbors search (local model)

For local models only (i.e. ignored if localModel = NO_MODEL). Ignored if useSphericalSearchForLocalModel is true.

localModel

LOCAL_MODEL_TYPES CCCoreLib::DistanceComputationTools::Cloud2CloudDistancesComputationParams::localModel

Type of local 3D modeling to use.

Default: NO_MODEL. Otherwise see CC_LOCAL_MODEL_TYPES.

maxSearchDist

ScalarType CCCoreLib::DistanceComputationTools::Cloud2CloudDistancesComputationParams::maxSearchDist

Maximum search distance (true distance won't be computed if greater)

Set to -1 to deactivate (default).

Warning

Not compatible with closest point set determination (see CPSet)

multiThread

bool CCCoreLib::DistanceComputationTools::Cloud2CloudDistancesComputationParams::multiThread

Whether to use multi-thread or single thread mode.

If maxSearchDist > 0, single thread mode will be forced.

octreeLevel

unsigned char CCCoreLib::DistanceComputationTools::Cloud2CloudDistancesComputationParams::octreeLevel

Level of subdivision of the octree at witch to apply the distance computation algorithm.

If set to 0 (default) the algorithm will try to guess the best level automatically.

radiusForLocalModel

ScalarType CCCoreLib::DistanceComputationTools::Cloud2CloudDistancesComputationParams::radiusForLocalModel

Radius for nearest neighbors search (local model)

For local models only (i.e. ignored if localModel = NO_MODEL). Ignored if useSphericalSearchForLocalModel is true.

resetFormerDistances

bool CCCoreLib::DistanceComputationTools::Cloud2CloudDistancesComputationParams::resetFormerDistances

Whether to keep the existing distances as is (if any) or not.

By default, any previous distances/scalar values stored in the 'enabled' scalar field will be reset before computing them again.

reuseExistingLocalModels

bool CCCoreLib::DistanceComputationTools::Cloud2CloudDistancesComputationParams::reuseExistingLocalModels

Whether to use an approximation for local model computation.

For local models only (i.e. ignored if localModel = NO_MODEL). Computation is much faster but less "controlled".

useSphericalSearchForLocalModel

bool CCCoreLib::DistanceComputationTools::Cloud2CloudDistancesComputationParams::useSphericalSearchForLocalModel

Whether to use a fixed number of neighbors or a (sphere) radius for nearest neighbors search.

For local models only (i.e. ignored if localModel = NO_MODEL).

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

• DistanceComputationTools.h