OpenCV 5.0.0-pre
Open Source Computer Vision
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cv::face::BIF Class Referenceabstract

#include <opencv2/face/bif.hpp>

Collaboration diagram for cv::face::BIF:

Public Member Functions

virtual void compute (InputArray image, OutputArray features) const =0
 
virtual int getNumBands () const =0
 
virtual int getNumRotations () const =0
 
- Public Member Functions inherited from cv::Algorithm
 Algorithm ()
 
virtual ~Algorithm ()
 
virtual void clear ()
 Clears the algorithm state.
 
virtual bool empty () const
 Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
 
virtual String getDefaultName () const
 
virtual void read (const FileNode &fn)
 Reads algorithm parameters from a file storage.
 
virtual void save (const String &filename) const
 
virtual void write (FileStorage &fs) const
 Stores algorithm parameters in a file storage.
 
void write (FileStorage &fs, const String &name) const
 

Static Public Member Functions

static Ptr< BIFcreate (int num_bands=8, int num_rotations=12)
 
- Static Public Member Functions inherited from cv::Algorithm
template<typename _Tp >
static Ptr< _Tpload (const String &filename, const String &objname=String())
 Loads algorithm from the file.
 
template<typename _Tp >
static Ptr< _TploadFromString (const String &strModel, const String &objname=String())
 Loads algorithm from a String.
 
template<typename _Tp >
static Ptr< _Tpread (const FileNode &fn)
 Reads algorithm from the file node.
 

Additional Inherited Members

- Protected Member Functions inherited from cv::Algorithm
void writeFormat (FileStorage &fs) const
 

Detailed Description

Implementation of bio-inspired features (BIF) from the paper: Guo, Guodong, et al. "Human age estimation using bio-inspired features." Computer Vision and Pattern Recognition, 2009. CVPR 2009.

Member Function Documentation

◆ compute()

virtual void cv::face::BIF::compute ( InputArray image,
OutputArray features ) const
pure virtual
Python:
cv.face.BIF.compute(image[, features]) -> features

Computes features sby input image.

Parameters
imageInput image (CV_32FC1).
featuresFeature vector (CV_32FC1).

◆ create()

static Ptr< BIF > cv::face::BIF::create ( int num_bands = 8,
int num_rotations = 12 )
static
Python:
cv.face.BIF.create([, num_bands[, num_rotations]]) -> retval
cv.face.BIF_create([, num_bands[, num_rotations]]) -> retval
Parameters
num_bandsThe number of filter bands (<=8) used for computing BIF.
num_rotationsThe number of image rotations for computing BIF.
Returns
Object for computing BIF.

◆ getNumBands()

virtual int cv::face::BIF::getNumBands ( ) const
pure virtual
Python:
cv.face.BIF.getNumBands() -> retval
Returns
The number of filter bands used for computing BIF.

◆ getNumRotations()

virtual int cv::face::BIF::getNumRotations ( ) const
pure virtual
Python:
cv.face.BIF.getNumRotations() -> retval
Returns
The number of image rotations.

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