opencv2/features.hpp

#include <opencv2/opencv_modules.hpp>
#include <opencv2/core.hpp>

Include dependency graph for features.hpp:

This graph shows which files directly or indirectly include features.hpp:

Classes

struct cv::Accumulator

struct cv::Accumulator< char >

struct cv::Accumulator< short >

struct cv::Accumulator< unsigned char >

struct cv::Accumulator< unsigned short >

class cv::AffineFeature

Class for implementing the wrapper which makes detectors and extractors to be affine invariant, described as ASIFT in [349] . More…

class cv::ALIKED

ALIKED feature detector and descriptor extractor. More…

class cv::ANNIndex

class cv::BFMatcher

Brute-force descriptor matcher. More…

class cv::DescriptorMatcher::DescriptorCollection

class cv::DescriptorMatcher

Abstract base class for matching keypoint descriptors. More…

class cv::DISK

DISK feature detector and descriptor, based on a DNN model. More…

class cv::FastFeatureDetector

Wrapping class for feature detection using the FAST method. More…

class cv::Feature2D

Abstract base class for 2D image feature detectors and descriptor extractors. More…

class cv::FlannBasedMatcher

Flann-based descriptor matcher. More…

class cv::GFTTDetector

Wrapping class for feature detection using the goodFeaturesToTrack function. : More…

class cv::KeyPointsFilter

A class filters a vector of keypoints. More…

struct cv::L1

struct cv::L2

class cv::LightGlueMatcher

LightGlue feature matcher. More…

class cv::MSER

Maximally stable extremal region extractor. More…

class cv::ORB

Class implementing the ORB (oriented BRIEF) keypoint detector and descriptor extractor. More…

struct cv::SimpleBlobDetector::Params

struct cv::ALIKED::Params

class cv::SIFT

Class for extracting keypoints and computing descriptors using the Scale Invariant Feature Transform (SIFT) algorithm by D. Lowe [194] . More…

class cv::SimpleBlobDetector

Class for extracting blobs from an image. : More…

struct cv::SL2

Namespaces

namespace cv

Enumerations

enum cv::DrawMatchesFlags {
DEFAULT = 0,
DRAW_OVER_OUTIMG = 1,
NOT_DRAW_SINGLE_POINTS = 2,
DRAW_RICH_KEYPOINTS = 4
}

Functions

void cv::drawKeypoints (InputArray image, const std::vector< KeyPoint > &keypoints, InputOutputArray outImage, const Scalar &color=Scalar::all(-1), DrawMatchesFlags flags=DrawMatchesFlags::DEFAULT)

Draws keypoints.

void cv::drawMatches (InputArray img1, const std::vector< KeyPoint > &keypoints1, InputArray img2, const std::vector< KeyPoint > &keypoints2, const std::vector< DMatch > &matches1to2, InputOutputArray outImg, const int matchesThickness, const Scalar &matchColor=Scalar::all(-1), const Scalar &singlePointColor=Scalar::all(-1), const std::vector< char > &matchesMask=std::vector< char >(), DrawMatchesFlags flags=DrawMatchesFlags::DEFAULT)

void cv::drawMatches (InputArray img1, const std::vector< KeyPoint > &keypoints1, InputArray img2, const std::vector< KeyPoint > &keypoints2, const std::vector< DMatch > &matches1to2, InputOutputArray outImg, const Scalar &matchColor=Scalar::all(-1), const Scalar &singlePointColor=Scalar::all(-1), const std::vector< char > &matchesMask=std::vector< char >(), DrawMatchesFlags flags=DrawMatchesFlags::DEFAULT)

Draws the found matches of keypoints from two images.

void cv::drawMatches (InputArray img1, const std::vector< KeyPoint > &keypoints1, InputArray img2, const std::vector< KeyPoint > &keypoints2, const std::vector< std::vector< DMatch > > &matches1to2, InputOutputArray outImg, const Scalar &matchColor=Scalar::all(-1), const Scalar &singlePointColor=Scalar::all(-1), const std::vector< std::vector< char > > &matchesMask=std::vector< std::vector< char > >(), DrawMatchesFlags flags=DrawMatchesFlags::DEFAULT)

void cv::computeRecallPrecisionCurve (const std::vector< std::vector< DMatch > > &matches1to2, const std::vector< std::vector< uchar > > &correctMatches1to2Mask, std::vector< Point2f > &recallPrecisionCurve)

void cv::evaluateFeatureDetector (const Mat &img1, const Mat &img2, const Mat &H1to2, std::vector< KeyPoint > *keypoints1, std::vector< KeyPoint > *keypoints2, float &repeatability, int &correspCount, const Ptr< FeatureDetector > &fdetector=Ptr< FeatureDetector >())

void cv::FAST (InputArray image, std::vector< KeyPoint > &keypoints, int threshold, bool nonmaxSuppression=true, FastFeatureDetector::DetectorType type=FastFeatureDetector::TYPE_9_16)

Detects corners using the FAST algorithm.

int cv::getNearestPoint (const std::vector< Point2f > &recallPrecisionCurve, float l_precision)

float cv::getRecall (const std::vector< Point2f > &recallPrecisionCurve, float l_precision)

void cv::goodFeaturesToTrack (InputArray image, OutputArray corners, int maxCorners, double qualityLevel, double minDistance, InputArray mask, int blockSize, int gradientSize, bool useHarrisDetector=false, double k=0.04)

void cv::goodFeaturesToTrack (InputArray image, OutputArray corners, int maxCorners, double qualityLevel, double minDistance, InputArray mask, OutputArray cornersQuality, int blockSize=3, int gradientSize=3, bool useHarrisDetector=false, double k=0.04)

Same as above, but returns also quality measure of the detected corners.

void cv::goodFeaturesToTrack (InputArray image, OutputArray corners, int maxCorners, double qualityLevel, double minDistance, InputArray mask=noArray(), int blockSize=3, bool useHarrisDetector=false, double k=0.04)

Determines strong corners on an image.