Uses of Class org.opencv.core.MatOfDMatch (AistCV 4.5.3 API)

Packages that use MatOfDMatch
Package Description

org.opencv.core

org.opencv.features2d

org.opencv.utils

org.opencv.xfeatures2d

Uses of MatOfDMatch in org.opencv.core

Methods in org.opencv.core that return MatOfDMatch
Modifier and Type Method Description

static MatOfDMatch MatOfDMatch.fromNativeAddr(long addr)

Uses of MatOfDMatch in org.opencv.features2d

Methods in org.opencv.features2d with parameters of type MatOfDMatch
Modifier and Type	Method	Description
`static void`	Features2d.`drawMatches(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, MatOfDMatch matches1to2, Mat outImg)`	Draws the found matches of keypoints from two images.
`static void`	Features2d.`drawMatches(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, MatOfDMatch matches1to2, Mat outImg, int matchesThickness)`
`static void`	Features2d.`drawMatches(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, MatOfDMatch matches1to2, Mat outImg, int matchesThickness, Scalar matchColor)`
`static void`	Features2d.`drawMatches(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, MatOfDMatch matches1to2, Mat outImg, int matchesThickness, Scalar matchColor, Scalar singlePointColor)`
`static void`	Features2d.`drawMatches(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, MatOfDMatch matches1to2, Mat outImg, int matchesThickness, Scalar matchColor, Scalar singlePointColor, MatOfByte matchesMask)`
`static void`	Features2d.`drawMatches(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, MatOfDMatch matches1to2, Mat outImg, int matchesThickness, Scalar matchColor, Scalar singlePointColor, MatOfByte matchesMask, int flags)`
`static void`	Features2d.`drawMatches(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, MatOfDMatch matches1to2, Mat outImg, Scalar matchColor)`	Draws the found matches of keypoints from two images.
`static void`	Features2d.`drawMatches(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, MatOfDMatch matches1to2, Mat outImg, Scalar matchColor, Scalar singlePointColor)`	Draws the found matches of keypoints from two images.
`static void`	Features2d.`drawMatches(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, MatOfDMatch matches1to2, Mat outImg, Scalar matchColor, Scalar singlePointColor, MatOfByte matchesMask)`	Draws the found matches of keypoints from two images.
`static void`	Features2d.`drawMatches(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, MatOfDMatch matches1to2, Mat outImg, Scalar matchColor, Scalar singlePointColor, MatOfByte matchesMask, int flags)`	Draws the found matches of keypoints from two images.
`void`	DescriptorMatcher.`match(Mat queryDescriptors, MatOfDMatch matches)`
`void`	DescriptorMatcher.`match(Mat queryDescriptors, MatOfDMatch matches, List<Mat> masks)`
`void`	DescriptorMatcher.`match(Mat queryDescriptors, Mat trainDescriptors, MatOfDMatch matches)`	Finds the best match for each descriptor from a query set.
`void`	DescriptorMatcher.`match(Mat queryDescriptors, Mat trainDescriptors, MatOfDMatch matches, Mat mask)`	Finds the best match for each descriptor from a query set.

Method parameters in org.opencv.features2d with type arguments of type MatOfDMatch
Modifier and Type	Method	Description
`static void`	Features2d.`drawMatchesKnn(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, List<MatOfDMatch> matches1to2, Mat outImg)`
`static void`	Features2d.`drawMatchesKnn(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, List<MatOfDMatch> matches1to2, Mat outImg, Scalar matchColor)`
`static void`	Features2d.`drawMatchesKnn(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, List<MatOfDMatch> matches1to2, Mat outImg, Scalar matchColor, Scalar singlePointColor)`
`static void`	Features2d.`drawMatchesKnn(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, List<MatOfDMatch> matches1to2, Mat outImg, Scalar matchColor, Scalar singlePointColor, List<MatOfByte> matchesMask)`
`static void`	Features2d.`drawMatchesKnn(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, List<MatOfDMatch> matches1to2, Mat outImg, Scalar matchColor, Scalar singlePointColor, List<MatOfByte> matchesMask, int flags)`
`void`	DescriptorMatcher.`knnMatch(Mat queryDescriptors, List<MatOfDMatch> matches, int k)`
`void`	DescriptorMatcher.`knnMatch(Mat queryDescriptors, List<MatOfDMatch> matches, int k, List<Mat> masks)`
`void`	DescriptorMatcher.`knnMatch(Mat queryDescriptors, List<MatOfDMatch> matches, int k, List<Mat> masks, boolean compactResult)`
`void`	DescriptorMatcher.`knnMatch(Mat queryDescriptors, Mat trainDescriptors, List<MatOfDMatch> matches, int k)`	Finds the k best matches for each descriptor from a query set.
`void`	DescriptorMatcher.`knnMatch(Mat queryDescriptors, Mat trainDescriptors, List<MatOfDMatch> matches, int k, Mat mask)`	Finds the k best matches for each descriptor from a query set.
`void`	DescriptorMatcher.`knnMatch(Mat queryDescriptors, Mat trainDescriptors, List<MatOfDMatch> matches, int k, Mat mask, boolean compactResult)`	Finds the k best matches for each descriptor from a query set.
`void`	DescriptorMatcher.`radiusMatch(Mat queryDescriptors, List<MatOfDMatch> matches, float maxDistance)`
`void`	DescriptorMatcher.`radiusMatch(Mat queryDescriptors, List<MatOfDMatch> matches, float maxDistance, List<Mat> masks)`
`void`	DescriptorMatcher.`radiusMatch(Mat queryDescriptors, List<MatOfDMatch> matches, float maxDistance, List<Mat> masks, boolean compactResult)`
`void`	DescriptorMatcher.`radiusMatch(Mat queryDescriptors, Mat trainDescriptors, List<MatOfDMatch> matches, float maxDistance)`	For each query descriptor, finds the training descriptors not farther than the specified distance.
`void`	DescriptorMatcher.`radiusMatch(Mat queryDescriptors, Mat trainDescriptors, List<MatOfDMatch> matches, float maxDistance, Mat mask)`	For each query descriptor, finds the training descriptors not farther than the specified distance.
`void`	DescriptorMatcher.`radiusMatch(Mat queryDescriptors, Mat trainDescriptors, List<MatOfDMatch> matches, float maxDistance, Mat mask, boolean compactResult)`	For each query descriptor, finds the training descriptors not farther than the specified distance.

Uses of MatOfDMatch in org.opencv.utils

Method parameters in org.opencv.utils with type arguments of type MatOfDMatch
Modifier and Type	Method	Description
`static void`	Converters.`Mat_to_vector_vector_DMatch(Mat m, List<MatOfDMatch> lvdm)`
`static Mat`	Converters.`vector_vector_DMatch_to_Mat(List<MatOfDMatch> lvdm, List<Mat> mats)`

Uses of MatOfDMatch in org.opencv.xfeatures2d

Methods in org.opencv.xfeatures2d with parameters of type MatOfDMatch
Modifier and Type	Method	Description
`static void`	Xfeatures2d.`matchGMS(Size size1, Size size2, MatOfKeyPoint keypoints1, MatOfKeyPoint keypoints2, MatOfDMatch matches1to2, MatOfDMatch matchesGMS)`	GMS (Grid-based Motion Statistics) feature matching strategy described in CITE: Bian2017gms .
`static void`	Xfeatures2d.`matchGMS(Size size1, Size size2, MatOfKeyPoint keypoints1, MatOfKeyPoint keypoints2, MatOfDMatch matches1to2, MatOfDMatch matchesGMS, boolean withRotation)`	GMS (Grid-based Motion Statistics) feature matching strategy described in CITE: Bian2017gms .
`static void`	Xfeatures2d.`matchGMS(Size size1, Size size2, MatOfKeyPoint keypoints1, MatOfKeyPoint keypoints2, MatOfDMatch matches1to2, MatOfDMatch matchesGMS, boolean withRotation, boolean withScale)`	GMS (Grid-based Motion Statistics) feature matching strategy described in CITE: Bian2017gms .
`static void`	Xfeatures2d.`matchGMS(Size size1, Size size2, MatOfKeyPoint keypoints1, MatOfKeyPoint keypoints2, MatOfDMatch matches1to2, MatOfDMatch matchesGMS, boolean withRotation, boolean withScale, double thresholdFactor)`	GMS (Grid-based Motion Statistics) feature matching strategy described in CITE: Bian2017gms .
`static void`	Xfeatures2d.`matchLOGOS(MatOfKeyPoint keypoints1, MatOfKeyPoint keypoints2, MatOfInt nn1, MatOfInt nn2, MatOfDMatch matches1to2)`	LOGOS (Local geometric support for high-outlier spatial verification) feature matching strategy described in CITE: Lowry2018LOGOSLG .