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

#include <objdetect.hpp>

Inheritance diagram for cv::linemod::DepthNormal:

Public Member Functions
	DepthNormal ()
	Default constructor. Uses reasonable default parameter values. More...

	DepthNormal (int distance_threshold, int difference_threshold, size_t num_features, int extract_threshold)
	Constructor. More...

virtual std::string	name () const

virtual void	read (const FileNode &fn)

virtual void	write (FileStorage &fs) const

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. More...

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

Additional Inherited Members
Static Public Member Functions inherited from cv::linemod::Modality
static Ptr< Modality >	create (const std::string &modality_type)
	Create modality by name. More...

static Ptr< Modality >	create (const FileNode &fn)
	Load a modality from file. More...

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.