opencv on mbed
GFTTDetector Class Reference
[Feature Detection and Description]
Wrapping class for feature detection using the goodFeaturesToTrack function. More...
#include <features2d.hpp>
Inherits cv::Feature2D.
Public Member Functions | |
virtual CV_WRAP void | detect (InputArray image, CV_OUT std::vector< KeyPoint > &keypoints, InputArray mask=noArray()) |
Detects keypoints in an image (first variant) or image set (second variant). | |
virtual void | detect (InputArrayOfArrays images, std::vector< std::vector< KeyPoint > > &keypoints, InputArrayOfArrays masks=noArray()) |
This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. | |
virtual CV_WRAP void | compute (InputArray image, CV_OUT CV_IN_OUT std::vector< KeyPoint > &keypoints, OutputArray descriptors) |
Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant). | |
virtual void | compute (InputArrayOfArrays images, std::vector< std::vector< KeyPoint > > &keypoints, OutputArrayOfArrays descriptors) |
This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. | |
virtual CV_WRAP void | detectAndCompute (InputArray image, InputArray mask, CV_OUT std::vector< KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false) |
Detects keypoints and computes the descriptors. | |
virtual CV_WRAP bool | empty () const |
Return true if detector object is empty. | |
virtual CV_WRAP void | clear () |
Clears the algorithm state. | |
virtual void | write (FileStorage &fs) const |
Stores algorithm parameters in a file storage. | |
virtual void | read (const FileNode &fn) |
Reads algorithm parameters from a file storage. | |
virtual CV_WRAP void | save (const String &filename) const |
Saves the algorithm to a file. | |
virtual CV_WRAP String | getDefaultName () const |
Returns the algorithm string identifier. | |
Static Public Member Functions | |
template<typename _Tp > | |
static Ptr< _Tp > | read (const FileNode &fn) |
Reads algorithm from the file node. | |
template<typename _Tp > | |
static Ptr< _Tp > | load (const String &filename, const String &objname=String()) |
Loads algorithm from the file. | |
template<typename _Tp > | |
static Ptr< _Tp > | loadFromString (const String &strModel, const String &objname=String()) |
Loads algorithm from a String. |
Detailed Description
Wrapping class for feature detection using the goodFeaturesToTrack function.
:
Definition at line 490 of file features2d.hpp.
Member Function Documentation
virtual CV_WRAP void clear | ( | ) | [virtual, inherited] |
Clears the algorithm state.
Reimplemented in DescriptorMatcher, and FlannBasedMatcher.
virtual CV_WRAP void compute | ( | InputArray | image, |
CV_OUT CV_IN_OUT std::vector< KeyPoint > & | keypoints, | ||
OutputArray | descriptors | ||
) | [virtual, inherited] |
Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).
- Parameters:
-
image Image. 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). 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.
virtual void compute | ( | InputArrayOfArrays | images, |
std::vector< std::vector< KeyPoint > > & | keypoints, | ||
OutputArrayOfArrays | descriptors | ||
) | [virtual, inherited] |
This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
- Parameters:
-
images Image set. 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). 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.
virtual CV_WRAP void detect | ( | InputArray | image, |
CV_OUT std::vector< KeyPoint > & | keypoints, | ||
InputArray | mask = noArray() |
||
) | [virtual, inherited] |
Detects keypoints in an image (first variant) or image set (second variant).
- Parameters:
-
image Image. keypoints The detected keypoints. In the second variant of the method keypoints[i] is a set of keypoints detected in images[i] . mask Mask specifying where to look for keypoints (optional). It must be a 8-bit integer matrix with non-zero values in the region of interest.
virtual void detect | ( | InputArrayOfArrays | images, |
std::vector< std::vector< KeyPoint > > & | keypoints, | ||
InputArrayOfArrays | masks = noArray() |
||
) | [virtual, inherited] |
This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
- Parameters:
-
images Image set. keypoints The detected keypoints. In the second variant of the method keypoints[i] is a set of keypoints detected in images[i] . masks Masks for each input image specifying where to look for keypoints (optional). masks[i] is a mask for images[i].
virtual CV_WRAP void detectAndCompute | ( | InputArray | image, |
InputArray | mask, | ||
CV_OUT std::vector< KeyPoint > & | keypoints, | ||
OutputArray | descriptors, | ||
bool | useProvidedKeypoints = false |
||
) | [virtual, inherited] |
Detects keypoints and computes the descriptors.
virtual CV_WRAP bool empty | ( | ) | const [virtual, inherited] |
Return true if detector object is empty.
Reimplemented from Algorithm.
virtual CV_WRAP String getDefaultName | ( | ) | const [virtual, inherited] |
Returns the algorithm string identifier.
This string is used as top level xml/yml node tag when the object is saved to a file or string.
static Ptr<_Tp> load | ( | const String & | filename, |
const String & | objname = String() |
||
) | [static, inherited] |
Loads algorithm from the file.
- Parameters:
-
filename Name of the file to read. objname The optional name of the node to read (if empty, the first top-level node will be used)
This is static template method of Algorithm. It's usage is following (in the case of SVM):
Ptr<SVM> svm = Algorithm::load<SVM>("my_svm_model.xml");
In order to make this method work, the derived class must overwrite Algorithm::read(const FileNode& fn).
static Ptr<_Tp> loadFromString | ( | const String & | strModel, |
const String & | objname = String() |
||
) | [static, inherited] |
Loads algorithm from a String.
- Parameters:
-
strModel The string variable containing the model you want to load. objname The optional name of the node to read (if empty, the first top-level node will be used)
This is static template method of Algorithm. It's usage is following (in the case of SVM):
Ptr<SVM> svm = Algorithm::loadFromString<SVM>(myStringModel);
Reads algorithm from the file node.
This is static template method of Algorithm. It's usage is following (in the case of SVM):
Ptr<SVM> svm = Algorithm::read<SVM>(fn);
In order to make this method work, the derived class must overwrite Algorithm::read(const FileNode& fn) and also have static create() method without parameters (or with all the optional parameters)
Reimplemented in DescriptorMatcher, and FlannBasedMatcher.
virtual void read | ( | const FileNode & | fn ) | [virtual, inherited] |
Reads algorithm parameters from a file storage.
Reimplemented in DescriptorMatcher, and FlannBasedMatcher.
virtual CV_WRAP void save | ( | const String & | filename ) | const [virtual, inherited] |
Saves the algorithm to a file.
In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).
virtual void write | ( | FileStorage & | fs ) | const [virtual, inherited] |
Stores algorithm parameters in a file storage.
Reimplemented in DescriptorMatcher, and FlannBasedMatcher.
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