cv::linemod::QuantizedPyramid Class Reference

Represents a modality operating over an image pyramid. More...

#include <objdetect.hpp>

Classes
struct	Candidate
	Candidate feature with a score. More...

Public Member Functions
virtual	~QuantizedPyramid ()
virtual void	quantize (Mat &dst) const =0
	Compute quantized image at current pyramid level for online detection. More...
virtual bool	extractTemplate (Template &templ) const =0
	Extract most discriminant features at current pyramid level to form a new template. More...
virtual void	pyrDown ()=0
	Go to the next pyramid level. More...

Static Protected Member Functions
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. More...

Detailed Description

Represents a modality operating over an image pyramid.

Constructor & Destructor Documentation

~QuantizedPyramid()

virtual cv::linemod::QuantizedPyramid::~QuantizedPyramid ( )

inlinevirtual

Member Function Documentation

extractTemplate()

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

pure virtual

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

Parameters

[out]

templ

The new template.

pyrDown()

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

pure virtual

Go to the next pyramid level.

Todo:

Allow pyramid scale factor other than 2

quantize()

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

pure virtual

Compute quantized image at current pyramid level for online detection.

Parameters

[out]

dst

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

selectScatteredFeatures()

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.

Parameters

[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.

---

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

• objdetect/objdetect.hpp