OpenCV  3.0.0-dev
Open Source Computer Vision
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 "linemod.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 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< QuantizedPyramidprocess (const Mat &src, const Mat &mask=Mat()) const
 Form a quantized image pyramid from a source image. 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

Additional Inherited Members

- 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...

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 


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

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

Implements cv::linemod::Modality.

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

Implements cv::linemod::Modality.

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

Implements cv::linemod::Modality.

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

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

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