OpenCV  4.3.0-pre
Open Source Computer Vision
Public Member Functions | Static Public Member Functions | Public Attributes | Protected Member Functions | List of all members
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:
cv::linemod::Modality

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 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< QuantizedPyramidprocess (const Mat &src, const Mat &mask=Mat()) const
 Form a quantized image pyramid from a source image. More...
 

Static Public Member Functions

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

Public Attributes

int difference_threshold
 
int distance_threshold
 
int extract_threshold
 
size_t num_features
 

Protected Member Functions

virtual Ptr< QuantizedPyramidprocessImpl (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

◆ DepthNormal() [1/2]

cv::linemod::DepthNormal::DepthNormal ( )

Default constructor. Uses reasonable default parameter values.

◆ DepthNormal() [2/2]

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

Constructor.

Parameters
distance_thresholdIgnore pixels beyond this distance.
difference_thresholdWhen computing normals, ignore contributions of pixels whose depth difference with the central pixel is above this threshold.
num_featuresHow many features a template must contain.
extract_thresholdConsider as candidate feature only if there are no differing orientations within a distance of extract_threshold.

Member Function Documentation

◆ create()

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)

◆ name()

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

Implements cv::linemod::Modality.

◆ processImpl()

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

Implements cv::linemod::Modality.

◆ read()

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

Implements cv::linemod::Modality.

◆ write()

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

Implements cv::linemod::Modality.

Member Data Documentation

◆ difference_threshold

int cv::linemod::DepthNormal::difference_threshold

◆ distance_threshold

int cv::linemod::DepthNormal::distance_threshold

◆ extract_threshold

int cv::linemod::DepthNormal::extract_threshold

◆ num_features

size_t cv::linemod::DepthNormal::num_features

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