mimas::hf::analyse_result_blob< Hypothesis_T, Pixel_T > Class Template Reference

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

#include <analyse_result_blob.h>

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

[legend]List of all members.

Public Member Functions
	analyse_result_blob (std::vector< Hypothesis_T > &hypotheses, image< Pixel_T > &image, set analyse_param)
std::vector< 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_blob< Hypothesis_T, Pixel_T >

An analyse result policy for the hypothesis filter.

Hypothesis_T has to implement float distance(Hypothesis_T) and Hypothesis_T mean(Hypothesis_T) for this policy to be implemented.

Calculate the average position of hypotheses located in the neighborhood of an hypothesis that has a high measure. The average is weighted by the hypothesis measure. The result is a set of positions that may be considered as the modes of the underlying probability density function of presence of the object.

Author:

Manuel Boissenin

Definition at line 30 of file analyse_result_blob.h.

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Constructor & Destructor Documentation

template<typename Hypothesis_T, typename Pixel_T>

mimas::hf::analyse_result_blob< Hypothesis_T, Pixel_T >::analyse_result_blob	(	std::vector< Hypothesis_T > &	hypotheses,
		image< Pixel_T > &	image,
		set	analyse_param
	)			[inline]

Definition at line 55 of file analyse_result_blob.h.

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Member Function Documentation

template<typename Hypothesis_T, typename Pixel_T>

std::vector< Hypothesis_T > mimas::hf::analyse_result_blob< Hypothesis_T, Pixel_T >::analyse

(

void

)

Definition at line 77 of file analyse_result_blob.h.

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

• analyse_result_blob.h

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