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Common Interfaces of Descriptor Extractors
==========================================
.. highlight:: cpp
Extractors of keypoint descriptors in OpenCV have wrappers with a common interface that enables you to easily switch
between different algorithms solving the same problem. This section is devoted to computing descriptors
represented as vectors in a multidimensional space. All objects that implement the ``vector``
descriptor extractors inherit the
:ocv:class:`DescriptorExtractor` interface.
DescriptorExtractor
-------------------
.. ocv:class:: DescriptorExtractor
Abstract base class for computing descriptors for image keypoints. ::
class CV_EXPORTS DescriptorExtractor
{
public:
virtual ~DescriptorExtractor();
void compute( const Mat& image, vector<KeyPoint>& keypoints,
Mat& descriptors ) const;
void compute( const vector<Mat>& images, vector<vector<KeyPoint> >& keypoints,
vector<Mat>& descriptors ) const;
virtual void read( const FileNode& );
virtual void write( FileStorage& ) const;
virtual int descriptorSize() const = 0;
virtual int descriptorType() const = 0;
static Ptr<DescriptorExtractor> create( const string& descriptorExtractorType );
protected:
...
};
In this interface, a keypoint descriptor can be represented as a
dense, fixed-dimension vector of a basic type. Most descriptors
follow this pattern as it simplifies computing
distances between descriptors. Therefore, a collection of
descriptors is represented as
:ocv:class:`Mat` , where each row is a keypoint descriptor.
DescriptorExtractor::compute
--------------------------------
Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).
.. ocv:function:: void DescriptorExtractor::compute( const Mat& image, vector<KeyPoint>& keypoints, Mat& descriptors ) const
.. ocv:function:: void DescriptorExtractor::compute( const vector<Mat>& images, vector<vector<KeyPoint> >& keypoints, vector<Mat>& descriptors ) const
:param image: Image.
:param images: Image set.
:param keypoints: Input collection of keypoints. Keypoints for which a descriptor cannot be computed are removed. Sometimes new keypoints can be added, for example: ``SIFT`` duplicates keypoint with several dominant orientations (for each orientation).
:param descriptors: Computed descriptors. In the second variant of the method ``descriptors[i]`` are descriptors computed for a ``keypoints[i]`. Row ``j`` is the ``keypoints`` (or ``keypoints[i]``) is the descriptor for keypoint ``j``-th keypoint.
DescriptorExtractor::read
-----------------------------
Reads the object of a descriptor extractor from a file node.
.. ocv:function:: void DescriptorExtractor::read( const FileNode& fn )
:param fn: File node from which the detector is read.
DescriptorExtractor::write
------------------------------
Writes the object of a descriptor extractor to a file storage.
.. ocv:function:: void DescriptorExtractor::write( FileStorage& fs ) const
:param fs: File storage where the detector is written.
DescriptorExtractor::create
-------------------------------
Creates a descriptor extractor by name.
.. ocv:function:: Ptr<DescriptorExtractor> DescriptorExtractor::create( const string& descriptorExtractorType )
:param descriptorExtractorType: Descriptor extractor type.
The current implementation supports the following types of a descriptor extractor:
* ``"SIFT"`` -- :ocv:class:`SiftDescriptorExtractor`
* ``"SURF"`` -- :ocv:class:`SurfDescriptorExtractor`
* ``"ORB"`` -- :ocv:class:`OrbDescriptorExtractor`
* ``"BRIEF"`` -- :ocv:class:`BriefDescriptorExtractor`
A combined format is also supported: descriptor extractor adapter name ( ``"Opponent"`` --
:ocv:class:`OpponentColorDescriptorExtractor` ) + descriptor extractor name (see above),
for example: ``"OpponentSIFT"`` .
SiftDescriptorExtractor
-----------------------
.. ocv:class:: SiftDescriptorExtractor
Wrapping class for computing descriptors by using the
:ocv:class:`SIFT` class. ::
class SiftDescriptorExtractor : public DescriptorExtractor
{
public:
SiftDescriptorExtractor(
const SIFT::DescriptorParams& descriptorParams=SIFT::DescriptorParams(),
const SIFT::CommonParams& commonParams=SIFT::CommonParams() );
SiftDescriptorExtractor( double magnification, bool isNormalize=true,
bool recalculateAngles=true, int nOctaves=SIFT::CommonParams::DEFAULT_NOCTAVES,
int nOctaveLayers=SIFT::CommonParams::DEFAULT_NOCTAVE_LAYERS,
int firstOctave=SIFT::CommonParams::DEFAULT_FIRST_OCTAVE,
int angleMode=SIFT::CommonParams::FIRST_ANGLE );
virtual void read (const FileNode &fn);
virtual void write (FileStorage &fs) const;
virtual int descriptorSize() const;
virtual int descriptorType() const;
protected:
...
}
SurfDescriptorExtractor
-----------------------
.. ocv:class:: SurfDescriptorExtractor
Wrapping class for computing descriptors by using the
:ocv:class:`SURF` class. ::
class SurfDescriptorExtractor : public DescriptorExtractor
{
public:
SurfDescriptorExtractor( int nOctaves=4,
int nOctaveLayers=2, bool extended=false );
virtual void read (const FileNode &fn);
virtual void write (FileStorage &fs) const;
virtual int descriptorSize() const;
virtual int descriptorType() const;
protected:
...
}
OrbDescriptorExtractor
---------------------------
.. ocv:class:: OrbDescriptorExtractor
Wrapping class for computing descriptors by using the
:ocv:class:`ORB` class. ::
template<typename T>
class ORbDescriptorExtractor : public DescriptorExtractor
{
public:
OrbDescriptorExtractor( ORB::PatchSize patch_size );
virtual void read( const FileNode &fn );
virtual void write( FileStorage &fs ) const;
virtual int descriptorSize() const;
virtual int descriptorType() const;
protected:
...
}
CalonderDescriptorExtractor
---------------------------
.. ocv:class:: CalonderDescriptorExtractor
Wrapping class for computing descriptors by using the
:ocv:class:`RTreeClassifier` class. ::
template<typename T>
class CalonderDescriptorExtractor : public DescriptorExtractor
{
public:
CalonderDescriptorExtractor( const string& classifierFile );
virtual void read( const FileNode &fn );
virtual void write( FileStorage &fs ) const;
virtual int descriptorSize() const;
virtual int descriptorType() const;
protected:
...
}
OpponentColorDescriptorExtractor
--------------------------------
.. ocv:class:: OpponentColorDescriptorExtractor
Class adapting a descriptor extractor to compute descriptors in the Opponent Color Space
(refer to Van de Sande et al., CGIV 2008 *Color Descriptors for Object Category Recognition*).
Input RGB image is transformed in the Opponent Color Space. Then, an unadapted descriptor extractor
(set in the constructor) computes descriptors on each of three channels and concatenates
them into a single color descriptor. ::
class OpponentColorDescriptorExtractor : public DescriptorExtractor
{
public:
OpponentColorDescriptorExtractor( const Ptr<DescriptorExtractor>& dextractor );
virtual void read( const FileNode& );
virtual void write( FileStorage& ) const;
virtual int descriptorSize() const;
virtual int descriptorType() const;
protected:
...
};
BriefDescriptorExtractor
------------------------
.. ocv:class:: BriefDescriptorExtractor
Class for computing BRIEF descriptors described in a paper of Calonder M., Lepetit V.,
Strecha C., Fua P. *BRIEF: Binary Robust Independent Elementary Features* ,
11th European Conference on Computer Vision (ECCV), Heraklion, Crete. LNCS Springer, September 2010. ::
class BriefDescriptorExtractor : public DescriptorExtractor
{
public:
static const int PATCH_SIZE = 48;
static const int KERNEL_SIZE = 9;
// bytes is a length of descriptor in bytes. It can be equal 16, 32 or 64 bytes.
BriefDescriptorExtractor( int bytes = 32 );
virtual void read( const FileNode& );
virtual void write( FileStorage& ) const;
virtual int descriptorSize() const;
virtual int descriptorType() const;
protected:
...
};
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