cv::linemod::DepthNormal Class Reference

Modality that computes quantized surface normals from a dense depth map. More...

#include <opencv2/rgbd/linemod.hpp>

Inheritance diagram for cv::linemod::DepthNormal:

Public Member Functions
	DepthNormal ()
	Default constructor. Uses reasonable default parameter values.
	DepthNormal (int distance_threshold, int difference_threshold, size_t num_features, int extract_threshold)
	Constructor.
virtual String	name () const CV_OVERRIDE
virtual void	read (const FileNode &fn) CV_OVERRIDE
virtual void	write (FileStorage &fs) const CV_OVERRIDE
Public Member Functions inherited from cv::linemod::Modality
virtual	~Modality ()
Ptr< QuantizedPyramid >	process (const Mat &src, const Mat &mask=Mat()) const
	Form a quantized image pyramid from a source image.

Static Public Member Functions
static Ptr< DepthNormal >	create (int distance_threshold, int difference_threshold, size_t num_features, int extract_threshold)
Static Public Member Functions inherited from cv::linemod::Modality
static Ptr< Modality >	create (const String &modality_type)
	Create modality by name.
static Ptr< Modality >	create (const FileNode &fn)
	Load a modality from file.

Public Attributes
int	difference_threshold
int	distance_threshold
int	extract_threshold
size_t	num_features

Protected Member Functions
virtual Ptr< QuantizedPyramid >	processImpl (const Mat &src, const Mat &mask) const CV_OVERRIDE

Detailed Description

Modality that computes quantized surface normals from a dense depth map.

Constructor & Destructor Documentation

cv::linemod::DepthNormal::DepthNormal

(

)

Default constructor. Uses reasonable default parameter values.

cv::linemod::DepthNormal::DepthNormal	(	int	distance_threshold,
		int	difference_threshold,
		size_t	num_features,
		int	extract_threshold
	)

Constructor.

Parameters

distance_threshold	Ignore pixels beyond this distance.
difference_threshold	When computing normals, ignore contributions of pixels whose depth difference with the central pixel is above this threshold.
num_features	How many features a template must contain.
extract_threshold	Consider as candidate feature only if there are no differing orientations within a distance of extract_threshold.

Member Function Documentation

static Ptr<DepthNormal> cv::linemod::DepthNormal::create ( int  distance_threshold, int  difference_threshold, size_t  num_features, int  extract_threshold  )

static

Python:
	retval	=	cv.linemod.DepthNormal_create(	distance_threshold, difference_threshold, num_features, extract_threshold	)

virtual String cv::linemod::DepthNormal::name ( ) const

virtual

Implements cv::linemod::Modality.

virtual Ptr<QuantizedPyramid> cv::linemod::DepthNormal::processImpl ( const Mat &  src, const Mat &  mask  ) const

protectedvirtual

Implements cv::linemod::Modality.

virtual void cv::linemod::DepthNormal::read ( const FileNode &  fn )

virtual

Implements cv::linemod::Modality.

virtual void cv::linemod::DepthNormal::write ( FileStorage &  fs ) const

virtual

Implements cv::linemod::Modality.

Member Data Documentation

int cv::linemod::DepthNormal::difference_threshold

int cv::linemod::DepthNormal::distance_threshold

int cv::linemod::DepthNormal::extract_threshold

size_t cv::linemod::DepthNormal::num_features

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

• linemod.hpp