mimas::hf::analyse_result_mean< Hypothesis_T, Pixel_T > Class Template Reference
[Particle filter]

An analyse result policy for the hypothesis filter. More...

#include <analyse_result_mean.h>

Collaboration diagram for mimas::hf::analyse_result_mean< Hypothesis_T, Pixel_T >:

[legend]List of all members.

Public Member Functions
	analyse_result_mean (std::vector< Hypothesis_T > &hypotheses, image< Pixel_T > &image, set nothing)
	The image is passed as a parameter even if it is not used as another AnalyseResult policy might need more information from the image.
Hypothesis_T	analyse (void)
Classes
class	set
	to store the parameters of the constructor of analyse_result_blob More...

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Detailed Description

template<typename Hypothesis_T, typename Pixel_T>
class mimas::hf::analyse_result_mean< Hypothesis_T, Pixel_T >

An analyse result policy for the hypothesis filter.

Calculate the average position of the hypotheses weighted by their measure. Can work with hypothesis2D and hypothesis3D

Definition at line 38 of file analyse_result_mean.h.

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Constructor & Destructor Documentation

template<typename Hypothesis_T, typename Pixel_T>

mimas::hf::analyse_result_mean< Hypothesis_T, Pixel_T >::analyse_result_mean	(	std::vector< Hypothesis_T > &	hypotheses,
		image< Pixel_T > &	image,
		set	nothing
	)			[inline]

The image is passed as a parameter even if it is not used as another AnalyseResult policy might need more information from the image.

Definition at line 59 of file analyse_result_mean.h.

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Member Function Documentation

template<typename Hypothesis_T, typename Pixel_T>

Hypothesis_T mimas::hf::analyse_result_mean< Hypothesis_T, Pixel_T >::analyse

(

void

)

Definition at line 71 of file analyse_result_mean.h.

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

• analyse_result_mean.h

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