opencv2/cudafeatures2d.hpp

#include <opencv2/core/cuda.hpp>
#include <opencv2/features.hpp>
#include <opencv2/cudafilters.hpp>

Include dependency graph for cudafeatures2d.hpp:

Classes

class cv::cuda::CornernessCriteria

Base class for Cornerness Criteria computation. : More…

class cv::cuda::CornersDetector

Base class for Corners Detector. : More…

class cv::cuda::DescriptorMatcher

Abstract base class for matching keypoint descriptors. More…

class cv::cuda::FastFeatureDetector

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

class cv::cuda::Feature2DAsync

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

class cv::cuda::ORB

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

Namespaces

namespace cv

namespace cv::cuda

Functions

Ptr< CornersDetector > cv::cuda::createGoodFeaturesToTrackDetector (int srcType, int maxCorners=1000, double qualityLevel=0.01, double minDistance=0.0, int blockSize=3, bool useHarrisDetector=false, double harrisK=0.04)

Creates implementation for cuda::CornersDetector .

Ptr< CornernessCriteria > cv::cuda::createHarrisCorner (int srcType, int blockSize, int ksize, double k, int borderType=BORDER_REFLECT101)

Creates implementation for Harris cornerness criteria.

Ptr< CornernessCriteria > cv::cuda::createMinEigenValCorner (int srcType, int blockSize, int ksize, int borderType=BORDER_REFLECT101)

Creates implementation for the minimum eigen value of a 2x2 derivative covariation matrix (the cornerness criteria).