Represents a modality operating over an image pyramid. [詳解]

#include <linemod.hpp>

クラス
struct	Candidate
	Candidate feature with a score [詳解]

公開メンバ関数
virtual CV_WRAP void	quantize (CV_OUT Mat &dst) const =0
	Compute quantized image at current pyramid level for online detection. [詳解]

virtual CV_WRAP bool	extractTemplate (CV_OUT Template &templ) const =0
	Extract most discriminant features at current pyramid level to form a new template. [詳解]

virtual CV_WRAP void	pyrDown ()=0
	Go to the next pyramid level. [詳解]

静的限定公開メンバ関数
static void	selectScatteredFeatures (const std::vector< Candidate > &candidates, std::vector< Feature > &features, size_t num_features, float distance)
	Choose candidate features so that they are not bunched together. [詳解]

詳解

Represents a modality operating over an image pyramid.

関数詳解

virtual CV_WRAP bool cv::linemod::QuantizedPyramid::extractTemplate ( CV_OUT Template & templ ) const

pure virtual

Extract most discriminant features at current pyramid level to form a new template.

引数

[out] templ The new template.

virtual CV_WRAP void cv::linemod::QuantizedPyramid::pyrDown ( )

pure virtual

Go to the next pyramid level.

virtual CV_WRAP void cv::linemod::QuantizedPyramid::quantize ( CV_OUT Mat & dst ) const

pure virtual

Compute quantized image at current pyramid level for online detection.

引数

[out] dst The destination 8-bit image. For each pixel at most one bit is set, representing its classification.

static void cv::linemod::QuantizedPyramid::selectScatteredFeatures	(	const std::vector< Candidate > &	candidates,
		std::vector< Feature > &	features,
		size_t	num_features,
		float	distance
	)

staticprotected

Choose candidate features so that they are not bunched together.

引数

[in]	candidates	Candidate features sorted by score.
[out]	features	Destination vector of selected features.
[in]	num_features	Number of candidates to select.
[in]	distance	Hint for desired distance between features.

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