Package | Description |
---|---|
org.opencv.core | |
org.opencv.features2d | |
org.opencv.utils | |
org.opencv.xfeatures2d |
Modifier and Type | Method and Description |
---|---|
static MatOfDMatch |
MatOfDMatch.fromNativeAddr(long addr) |
Modifier and Type | Method and 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,
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,
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.
|
void |
DescriptorMatcher.match(Mat queryDescriptors,
MatOfDMatch matches) |
void |
DescriptorMatcher.match(Mat queryDescriptors,
MatOfDMatch matches,
List<Mat> masks) |
Modifier and Type | Method and 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.
|
Modifier and Type | Method and 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) |
Modifier and Type | Method and 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 .
|
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