OpenCV
3.4.14
Open Source Computer Vision
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Modules | |
Feature Detection and Description | |
Descriptor Matchers | |
Drawing Function of Keypoints and Matches | |
Object Categorization | |
Hardware Acceleration Layer | |
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::Feature2D |
Abstract base class for 2D image feature detectors and descriptor extractors. More... | |
class | cv::KeyPointsFilter |
A class filters a vector of keypoints. More... | |
struct | cv::L1< T > |
struct | cv::L2< T > |
struct | cv::SL2< T > |
Typedefs | |
typedef Feature2D | cv::DescriptorExtractor |
typedef Feature2D | cv::FeatureDetector |
Functions | |
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 >()) |
int | cv::getNearestPoint (const std::vector< Point2f > &recallPrecisionCurve, float l_precision) |
float | cv::getRecall (const std::vector< Point2f > &recallPrecisionCurve, float l_precision) |
typedef Feature2D cv::DescriptorExtractor |
#include <opencv2/features2d.hpp>
Extractors of keypoint descriptors in OpenCV have wrappers with a common interface that enables you to easily switch between different algorithms solving the same problem. This section is devoted to computing descriptors represented as vectors in a multidimensional space. All objects that implement the vector descriptor extractors inherit the DescriptorExtractor interface.
typedef Feature2D cv::FeatureDetector |
#include <opencv2/features2d.hpp>
Feature detectors in OpenCV have wrappers with a common interface that enables you to easily switch between different algorithms solving the same problem. All objects that implement keypoint detectors inherit the FeatureDetector interface.
void cv::computeRecallPrecisionCurve | ( | const std::vector< std::vector< DMatch > > & | matches1to2, |
const std::vector< std::vector< uchar > > & | correctMatches1to2Mask, | ||
std::vector< Point2f > & | recallPrecisionCurve | ||
) |
#include <opencv2/features2d.hpp>
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 >() |
||
) |
#include <opencv2/features2d.hpp>
int cv::getNearestPoint | ( | const std::vector< Point2f > & | recallPrecisionCurve, |
float | l_precision | ||
) |
#include <opencv2/features2d.hpp>
float cv::getRecall | ( | const std::vector< Point2f > & | recallPrecisionCurve, |
float | l_precision | ||
) |
#include <opencv2/features2d.hpp>