OpenCV
5.0.0-pre
Open Source Computer Vision
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Classes | |
struct | cv::Accumulator< T > |
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 [313] . 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::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< T > |
struct | cv::L2< T > |
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 |
class | cv::SIFT |
Class for extracting keypoints and computing descriptors using the Scale Invariant Feature Transform (SIFT) algorithm by D. Lowe [174] . More... | |
class | cv::SimpleBlobDetector |
Class for extracting blobs from an image. : More... | |
struct | cv::SL2< T > |
Namespaces | |
namespace | cv |
Typedefs | |
typedef AffineFeature | cv::AffineDescriptorExtractor |
typedef AffineFeature | cv::AffineFeatureDetector |
typedef Feature2D | cv::DescriptorExtractor |
typedef Feature2D | cv::FeatureDetector |
typedef SIFT | cv::SiftDescriptorExtractor |
typedef SIFT | cv::SiftFeatureDetector |
Enumerations | |
enum struct | cv::DrawMatchesFlags { cv::DrawMatchesFlags::DEFAULT = 0 , cv::DrawMatchesFlags::DRAW_OVER_OUTIMG = 1 , cv::DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS = 2 , cv::DrawMatchesFlags::DRAW_RICH_KEYPOINTS = 4 } |
Functions | |
void | cv::computeRecallPrecisionCurve (const std::vector< std::vector< DMatch > > &matches1to2, const std::vector< std::vector< uchar > > &correctMatches1to2Mask, std::vector< Point2f > &recallPrecisionCurve) |
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::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) |