Wrapping class for feature detection using the goodFeaturesToTrack function. :
More...
|
void | setMaxFeatures (int maxFeatures) |
|
int | getMaxFeatures () |
|
void | setQualityLevel (double qlevel) |
|
double | getQualityLevel () |
|
void | setMinDistance (double minDistance) |
|
double | getMinDistance () |
|
void | setBlockSize (int blockSize) |
|
int | getBlockSize () |
|
void | setGradientSize (int gradientSize_) |
|
int | getGradientSize () |
|
void | setHarrisDetector (bool val) |
|
bool | getHarrisDetector () |
|
void | setK (double k) |
|
double | getK () |
|
override string | getDefaultName () |
|
void | detect (Mat image, MatOfKeyPoint keypoints, Mat mask) |
| Detects keypoints in an image (first variant) or image set (second variant). More...
|
|
void | detect (Mat image, MatOfKeyPoint keypoints) |
| Detects keypoints in an image (first variant) or image set (second variant). More...
|
|
void | detect (List< Mat > images, List< MatOfKeyPoint > keypoints, List< Mat > masks) |
|
void | detect (List< Mat > images, List< MatOfKeyPoint > keypoints) |
|
void | compute (Mat image, MatOfKeyPoint keypoints, Mat descriptors) |
| Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant). More...
|
|
void | compute (List< Mat > images, List< MatOfKeyPoint > keypoints, List< Mat > descriptors) |
|
void | detectAndCompute (Mat image, Mat mask, MatOfKeyPoint keypoints, Mat descriptors, bool useProvidedKeypoints) |
|
void | detectAndCompute (Mat image, Mat mask, MatOfKeyPoint keypoints, Mat descriptors) |
|
int | descriptorSize () |
|
int | descriptorType () |
|
int | defaultNorm () |
|
void | write (string fileName) |
|
void | read (string fileName) |
|
override bool | empty () |
| Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. More...
|
|
IntPtr | getNativeObjAddr () |
|
virtual void | clear () |
| Clears the algorithm state. More...
|
|
void | save (string filename) |
|
void | Dispose () |
|
void | ThrowIfDisposed () |
|
|
static new GFTTDetector | __fromPtr__ (IntPtr addr) |
|
static GFTTDetector | create (int maxCorners, double qualityLevel, double minDistance, int blockSize, bool useHarrisDetector, double k) |
|
static GFTTDetector | create (int maxCorners, double qualityLevel, double minDistance, int blockSize, bool useHarrisDetector) |
|
static GFTTDetector | create (int maxCorners, double qualityLevel, double minDistance, int blockSize) |
|
static GFTTDetector | create (int maxCorners, double qualityLevel, double minDistance) |
|
static GFTTDetector | create (int maxCorners, double qualityLevel) |
|
static GFTTDetector | create (int maxCorners) |
|
static GFTTDetector | create () |
|
static GFTTDetector | create (int maxCorners, double qualityLevel, double minDistance, int blockSize, int gradiantSize, bool useHarrisDetector, double k) |
|
static GFTTDetector | create (int maxCorners, double qualityLevel, double minDistance, int blockSize, int gradiantSize, bool useHarrisDetector) |
|
static GFTTDetector | create (int maxCorners, double qualityLevel, double minDistance, int blockSize, int gradiantSize) |
|
static new Feature2D | __fromPtr__ (IntPtr addr) |
|
static Algorithm | __fromPtr__ (IntPtr addr) |
|
static IntPtr | ThrowIfNullIntPtr (IntPtr ptr) |
|
Wrapping class for feature detection using the goodFeaturesToTrack function. :