OpenCV
4.0.0
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::AgastFeatureDetector |
Wrapping class for feature detection using the AGAST method. : More... | |
class | cv::AKAZE |
Class implementing the AKAZE keypoint detector and descriptor extractor, described in [5]. More... | |
class | cv::BFMatcher |
Brute-force descriptor matcher. More... | |
class | cv::BOWImgDescriptorExtractor |
Class to compute an image descriptor using the bag of visual words. More... | |
class | cv::BOWKMeansTrainer |
kmeans -based class to train visual vocabulary using the bag of visual words approach. : More... | |
class | cv::BOWTrainer |
Abstract base class for training the bag of visual words vocabulary from a set of descriptors. More... | |
class | cv::BRISK |
Class implementing the BRISK keypoint detector and descriptor extractor, described in [114] . 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::KAZE |
Class implementing the KAZE keypoint detector and descriptor extractor, described in [6] . 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::SimpleBlobDetector |
Class for extracting blobs from an image. : More... | |
struct | cv::SL2< T > |
Namespaces | |
cv | |
"black box" representation of the file storage associated with a file on disk. | |
Typedefs | |
typedef Feature2D | cv::DescriptorExtractor |
typedef Feature2D | cv::FeatureDetector |
Enumerations | |
enum | 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::AGAST (InputArray image, std::vector< KeyPoint > &keypoints, int threshold, bool nonmaxSuppression=true) |
void | cv::AGAST (InputArray image, std::vector< KeyPoint > &keypoints, int threshold, bool nonmaxSuppression, AgastFeatureDetector::DetectorType type) |
Detects corners using the AGAST algorithm. More... | |
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. More... | |
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. More... | |
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) |
void | cv::FAST (InputArray image, std::vector< KeyPoint > &keypoints, int threshold, bool nonmaxSuppression, FastFeatureDetector::DetectorType type) |
Detects corners using the FAST algorithm. More... | |
int | cv::getNearestPoint (const std::vector< Point2f > &recallPrecisionCurve, float l_precision) |
float | cv::getRecall (const std::vector< Point2f > &recallPrecisionCurve, float l_precision) |