Class cv::xfeatures2d::HarrisLaplaceFeatureDetector#
Class implementing the Harris-Laplace feature detector as described in [214].
#include <opencv2/xfeatures2d.hpp>Collaboration diagram for cv::xfeatures2d::HarrisLaplaceFeatureDetector:
Public Member Functions#
Public Member Functions inherited from cv::Feature2D
Return |
Name |
Description |
|---|---|---|
|
|
Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant). |
|
||
|
||
|
||
|
||
|
|
Detects keypoints in an image (first variant) or image set (second variant). |
|
||
|
||
|
Return true if detector object is empty. |
|
|
Reads algorithm parameters from a file storage. |
|
|
||
|
||
|
Stores algorithm parameters in a file storage. |
|
|
Public Member Functions inherited from cv::Algorithm
Return |
Name |
Description |
|---|---|---|
|
Clears the algorithm state. |
|
|
Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. |
|
|
Reads algorithm parameters from a file storage. |
|
|
||
|
|
|
|
Stores algorithm parameters in a file storage. |
|
|
Static Public Member Functions#
Static Public Member Functions inherited from cv::Algorithm
Return |
Name |
Description |
|---|---|---|
|
|
Loads algorithm from the file. |
|
|
Loads algorithm from a String. |
|
Reads algorithm from the file node. |
Additional Inherited Members#
Protected Member Functions inherited from cv::Algorithm
Return |
Name |
Description |
|---|---|---|
|
Detailed Description#
Class implementing the Harris-Laplace feature detector as described in [214].
Member Function Documentation#
create()#
static Ptr< HarrisLaplaceFeatureDetector > cv::xfeatures2d::HarrisLaplaceFeatureDetector::create(
int numOctaves = 6,
float corn_thresh = 0.01f,
float DOG_thresh = 0.01f,
int maxCorners = 5000,
int num_layers = 4 )
Creates a new implementation instance.
Parameters
numOctaves— the number of octaves in the scale-space pyramidcorn_thresh— the threshold for the Harris cornerness measureDOG_thresh— the threshold for the Difference-of-Gaussians scale selectionmaxCorners— the maximum number of corners to considernum_layers— the number of intermediate scales per octave
getCornThresh()#
float cv::xfeatures2d::HarrisLaplaceFeatureDetector::getCornThresh()
getDefaultName()#
String cv::xfeatures2d::HarrisLaplaceFeatureDetector::getDefaultName()
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.
getDOGThresh()#
float cv::xfeatures2d::HarrisLaplaceFeatureDetector::getDOGThresh()
getMaxCorners()#
int cv::xfeatures2d::HarrisLaplaceFeatureDetector::getMaxCorners()
getNumLayers()#
int cv::xfeatures2d::HarrisLaplaceFeatureDetector::getNumLayers()
getNumOctaves()#
int cv::xfeatures2d::HarrisLaplaceFeatureDetector::getNumOctaves()
setCornThresh()#
void cv::xfeatures2d::HarrisLaplaceFeatureDetector::setCornThresh(float corn_thresh_)
setDOGThresh()#
void cv::xfeatures2d::HarrisLaplaceFeatureDetector::setDOGThresh(float DOG_thresh_)
setMaxCorners()#
void cv::xfeatures2d::HarrisLaplaceFeatureDetector::setMaxCorners(int maxCorners_)
setNumLayers()#
void cv::xfeatures2d::HarrisLaplaceFeatureDetector::setNumLayers(int num_layers_)
setNumOctaves()#
void cv::xfeatures2d::HarrisLaplaceFeatureDetector::setNumOctaves(int numOctaves_)
Source file#
The documentation for this class was generated from the following file:
opencv2/xfeatures2d.hpp