opentl::detector::ParticleDetector Class Reference

Inherits opentl::detector::Detector.

List of all members.

Classes
class	PolyhedronSampler
Public Types
Public Member Functions
virtual void	addImplicitLikelihoodInstances (unsigned int count=1)
	Add additional likelihood instances Instances ares cloned from the likelihood template and represent the whole pipeline.
virtual void	detect (const std::vector< opentl::core::cvdata::Image * > inputImages, const TargetPtrVector &oldTargets, TargetPtrVector &newTargets)
	Find new targets, by using the SIR particle filter (with the given likelihood tree), and unsupervised mean-shift clustering.
void	init ()
	Initialize the class.
	ParticleDetector (opentl::modalities::Likelihood *likelihood, opentl::modelprojection::Warp &warp, ObjModelPtrVector &objectModels)
	constructor
int	sample (PolyhedronSampler &sampler)
	Sample the particle set.
virtual	~ParticleDetector ()
	destructor

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Member Enumeration Documentation

enum opentl::detector::ParticleDetector::OfflineParameters

Enumerator:

OFFLINE_COUNT

enum opentl::detector::ParticleDetector::OnlineParameters

Enumerator:

maxNoTargets	(unsigned int) Maximum detectable targets
minNorm	(double) Minimum norm for the mean-shift stopping criterion
bandWidth	(double) Width of the mean-shift kernels
maxIter	(unsigned int) Maximum number of mean-shift iterations
bPruneNonMaxima	(bool) Remove non-maxima (false clusters)
nOfParticles	(unsigned int) Number of particles
kernelType	(opentl::math::CV::MSKernelType) Type of mean-shift kernel
ONLINE_COUNT

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Constructor & Destructor Documentation

opentl::detector::ParticleDetector::ParticleDetector	(	opentl::modalities::Likelihood *	likelihood,
		opentl::modelprojection::Warp &	warp,
		ObjModelPtrVector &	objectModels
	)

constructor

virtual opentl::detector::ParticleDetector::~ParticleDetector

(

)

[virtual]

destructor

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Member Function Documentation

virtual void opentl::detector::ParticleDetector::addImplicitLikelihoodInstances

(

unsigned int

count = 1

)

[virtual]

Add additional likelihood instances Instances ares cloned from the likelihood template and represent the whole pipeline.

virtual void opentl::detector::ParticleDetector::detect	(	const std::vector< opentl::core::cvdata::Image * >	inputImages,
		const TargetPtrVector &	oldTargets,
		TargetPtrVector &	newTargets
	)			[virtual]

Find new targets, by using the SIR particle filter (with the given likelihood tree), and unsupervised mean-shift clustering.

Implements opentl::detector::Detector.

void opentl::detector::ParticleDetector::init

(

)

[virtual]

Initialize the class.

Implements opentl::core::util::ParameterContainer.

int opentl::detector::ParticleDetector::sample

(

PolyhedronSampler &

sampler

)

Sample the particle set.