| Package | Description |
|---|---|
| org.bytedeco.javacpp |
| Modifier and Type | Method and Description |
|---|---|
opencv_features2d.KeyPoint |
opencv_legacy.OneWayDescriptorObject._GetLabeledFeatures() |
opencv_features2d.KeyPoint |
opencv_features2d.KeyPoint.angle(float angle) |
opencv_features2d.KeyPoint |
opencv_features2d.KeyPoint.class_id(int class_id) |
opencv_features2d.KeyPoint |
opencv_features2d.KeyPointVectorVector.get(long i,
long j) |
opencv_features2d.KeyPoint |
opencv_legacy.OneWayDescriptorObject.GetLabeledFeatures() |
opencv_features2d.KeyPoint |
opencv_legacy.PlanarObjectDetector.getModelPoints() |
opencv_features2d.KeyPoint |
opencv_stitching.ImageFeatures.keypoints() |
opencv_features2d.KeyPoint |
opencv_features2d.KeyPoint.octave(int octave) |
opencv_features2d.KeyPoint |
opencv_features2d.KeyPoint.position(int position) |
opencv_features2d.KeyPoint |
opencv_features2d.KeyPoint.pt(opencv_core.Point2f pt) |
opencv_features2d.KeyPoint |
opencv_features2d.KeyPoint.response(float response) |
opencv_features2d.KeyPoint |
opencv_features2d.KeyPoint.size(float size) |
| Modifier and Type | Method and Description |
|---|---|
void |
opencv_nonfree.SIFT.apply(opencv_core.Mat img,
opencv_core.Mat mask,
opencv_features2d.KeyPoint keypoints)
finds the keypoints using SIFT algorithm
|
void |
opencv_nonfree.SURF.apply(opencv_core.Mat img,
opencv_core.Mat mask,
opencv_features2d.KeyPoint keypoints)
finds the keypoints using fast hessian detector used in SURF
|
void |
opencv_features2d.BRISK.apply(opencv_core.Mat image,
opencv_core.Mat mask,
opencv_features2d.KeyPoint keypoints) |
void |
opencv_features2d.ORB.apply(opencv_core.Mat image,
opencv_core.Mat mask,
opencv_features2d.KeyPoint keypoints) |
void |
opencv_nonfree.SIFT.apply(opencv_core.Mat img,
opencv_core.Mat mask,
opencv_features2d.KeyPoint keypoints,
opencv_core.Mat descriptors) |
void |
opencv_nonfree.SURF.apply(opencv_core.Mat img,
opencv_core.Mat mask,
opencv_features2d.KeyPoint keypoints,
opencv_core.Mat descriptors) |
void |
opencv_features2d.BRISK.apply(opencv_core.Mat image,
opencv_core.Mat mask,
opencv_features2d.KeyPoint keypoints,
opencv_core.Mat descriptors) |
void |
opencv_features2d.ORB.apply(opencv_core.Mat image,
opencv_core.Mat mask,
opencv_features2d.KeyPoint keypoints,
opencv_core.Mat descriptors) |
void |
opencv_nonfree.SIFT.apply(opencv_core.Mat img,
opencv_core.Mat mask,
opencv_features2d.KeyPoint keypoints,
opencv_core.Mat descriptors,
boolean useProvidedKeypoints)
finds the keypoints and computes descriptors for them using SIFT algorithm.
|
void |
opencv_nonfree.SURF.apply(opencv_core.Mat img,
opencv_core.Mat mask,
opencv_features2d.KeyPoint keypoints,
opencv_core.Mat descriptors,
boolean useProvidedKeypoints)
finds the keypoints and computes their descriptors.
|
void |
opencv_features2d.BRISK.apply(opencv_core.Mat image,
opencv_core.Mat mask,
opencv_features2d.KeyPoint keypoints,
opencv_core.Mat descriptors,
boolean useProvidedKeypoints) |
void |
opencv_features2d.ORB.apply(opencv_core.Mat image,
opencv_core.Mat mask,
opencv_features2d.KeyPoint keypoints,
opencv_core.Mat descriptors,
boolean useProvidedKeypoints) |
void |
opencv_legacy.LDetector.apply(opencv_core.Mat image,
opencv_features2d.KeyPoint keypoints) |
void |
opencv_legacy.LDetector.apply(opencv_core.Mat image,
opencv_features2d.KeyPoint keypoints,
int maxCount,
boolean scaleCoords) |
void |
opencv_legacy.LDetector.apply(opencv_core.MatVector pyr,
opencv_features2d.KeyPoint keypoints) |
void |
opencv_legacy.LDetector.apply(opencv_core.MatVector pyr,
opencv_features2d.KeyPoint keypoints,
int maxCount,
boolean scaleCoords) |
boolean |
opencv_legacy.PlanarObjectDetector.apply(opencv_core.MatVector pyr,
opencv_features2d.KeyPoint keypoints,
opencv_core.Mat H,
opencv_core.Point2f corners) |
boolean |
opencv_legacy.PlanarObjectDetector.apply(opencv_core.MatVector pyr,
opencv_features2d.KeyPoint keypoints,
opencv_core.Mat H,
opencv_core.Point2f corners,
int[] pairs) |
boolean |
opencv_legacy.PlanarObjectDetector.apply(opencv_core.MatVector pyr,
opencv_features2d.KeyPoint keypoints,
opencv_core.Mat H,
opencv_core.Point2f corners,
IntBuffer pairs) |
boolean |
opencv_legacy.PlanarObjectDetector.apply(opencv_core.MatVector pyr,
opencv_features2d.KeyPoint keypoints,
opencv_core.Mat H,
opencv_core.Point2f corners,
IntPointer pairs) |
void |
opencv_features2d.GenericDescriptorMatcher.classify(opencv_core.Mat queryImage,
opencv_features2d.KeyPoint queryKeypoints) |
void |
opencv_features2d.GenericDescriptorMatcher.classify(opencv_core.Mat queryImage,
opencv_features2d.KeyPoint queryKeypoints,
opencv_core.Mat trainImage,
opencv_features2d.KeyPoint trainKeypoints) |
void |
opencv_features2d.DescriptorExtractor.compute(opencv_core.Mat image,
opencv_features2d.KeyPoint keypoints,
opencv_core.Mat descriptors) |
void |
opencv_features2d.Feature2D.compute(opencv_core.Mat image,
opencv_features2d.KeyPoint keypoints,
opencv_core.Mat descriptors) |
void |
opencv_features2d.BOWImgDescriptorExtractor.compute(opencv_core.Mat image,
opencv_features2d.KeyPoint keypoints,
opencv_core.Mat imgDescriptor) |
void |
opencv_features2d.BOWImgDescriptorExtractor.compute(opencv_core.Mat image,
opencv_features2d.KeyPoint keypoints,
opencv_core.Mat imgDescriptor,
opencv_core.IntVectorVector pointIdxsOfClusters,
opencv_core.Mat descriptors) |
static void |
opencv_features2d.KeyPoint.convert(opencv_core.Point2f points2f,
opencv_features2d.KeyPoint keypoints) |
static void |
opencv_features2d.KeyPoint.convert(opencv_core.Point2f points2f,
opencv_features2d.KeyPoint keypoints,
float size,
float response,
int octave,
int class_id)
converts vector of points to the vector of keypoints, where each keypoint is assigned the same size and the same orientation
|
static void |
opencv_features2d.KeyPoint.convert(opencv_features2d.KeyPoint keypoints,
opencv_core.Point2f points2f) |
static void |
opencv_features2d.KeyPoint.convert(opencv_features2d.KeyPoint keypoints,
opencv_core.Point2f points2f,
int[] keypointIndexes) |
static void |
opencv_features2d.KeyPoint.convert(opencv_features2d.KeyPoint keypoints,
opencv_core.Point2f points2f,
IntBuffer keypointIndexes) |
static void |
opencv_features2d.KeyPoint.convert(opencv_features2d.KeyPoint keypoints,
opencv_core.Point2f points2f,
IntPointer keypointIndexes)
converts vector of keypoints to vector of points
|
void |
opencv_legacy.OneWayDescriptorBase.CreateDescriptorsFromImage(opencv_core.IplImage src,
opencv_features2d.KeyPoint features) |
void |
opencv_features2d.FeatureDetector.detect(opencv_core.Mat image,
opencv_features2d.KeyPoint keypoints) |
void |
opencv_features2d.StarDetector.detect(opencv_core.Mat image,
opencv_features2d.KeyPoint keypoints)
finds the keypoints in the image
|
void |
opencv_features2d.FeatureDetector.detect(opencv_core.Mat image,
opencv_features2d.KeyPoint keypoints,
opencv_core.Mat mask) |
void |
opencv_features2d.Feature2D.detectAndCompute(opencv_core.Mat image,
opencv_core.Mat mask,
opencv_features2d.KeyPoint keypoints,
opencv_core.Mat descriptors) |
void |
opencv_features2d.Feature2D.detectAndCompute(opencv_core.Mat image,
opencv_core.Mat mask,
opencv_features2d.KeyPoint keypoints,
opencv_core.Mat descriptors,
boolean useProvidedKeypoints) |
static void |
opencv_features2d.drawKeypoints(opencv_core.Mat image,
opencv_features2d.KeyPoint keypoints,
opencv_core.Mat outImage) |
static void |
opencv_features2d.drawKeypoints(opencv_core.Mat image,
opencv_features2d.KeyPoint keypoints,
opencv_core.Mat outImage,
opencv_core.Scalar color,
int flags) |
static void |
opencv_features2d.drawMatches(opencv_core.Mat img1,
opencv_features2d.KeyPoint keypoints1,
opencv_core.Mat img2,
opencv_features2d.KeyPoint keypoints2,
opencv_features2d.DMatch matches1to2,
opencv_core.Mat outImg) |
static void |
opencv_features2d.drawMatches(opencv_core.Mat img1,
opencv_features2d.KeyPoint keypoints1,
opencv_core.Mat img2,
opencv_features2d.KeyPoint keypoints2,
opencv_features2d.DMatch matches1to2,
opencv_core.Mat outImg,
opencv_core.Scalar matchColor,
opencv_core.Scalar singlePointColor,
byte[] matchesMask,
int flags) |
static void |
opencv_features2d.drawMatches(opencv_core.Mat img1,
opencv_features2d.KeyPoint keypoints1,
opencv_core.Mat img2,
opencv_features2d.KeyPoint keypoints2,
opencv_features2d.DMatch matches1to2,
opencv_core.Mat outImg,
opencv_core.Scalar matchColor,
opencv_core.Scalar singlePointColor,
ByteBuffer matchesMask,
int flags) |
static void |
opencv_features2d.drawMatches(opencv_core.Mat img1,
opencv_features2d.KeyPoint keypoints1,
opencv_core.Mat img2,
opencv_features2d.KeyPoint keypoints2,
opencv_features2d.DMatch matches1to2,
opencv_core.Mat outImg,
opencv_core.Scalar matchColor,
opencv_core.Scalar singlePointColor,
BytePointer matchesMask,
int flags) |
static void |
opencv_features2d.drawMatches(opencv_core.Mat img1,
opencv_features2d.KeyPoint keypoints1,
opencv_core.Mat img2,
opencv_features2d.KeyPoint keypoints2,
opencv_features2d.DMatchVectorVector matches1to2,
opencv_core.Mat outImg) |
static void |
opencv_features2d.drawMatches(opencv_core.Mat img1,
opencv_features2d.KeyPoint keypoints1,
opencv_core.Mat img2,
opencv_features2d.KeyPoint keypoints2,
opencv_features2d.DMatchVectorVector matches1to2,
opencv_core.Mat outImg,
opencv_core.Scalar matchColor,
opencv_core.Scalar singlePointColor,
opencv_core.ByteVectorVector matchesMask,
int flags) |
static void |
opencv_features2d.evaluateFeatureDetector(opencv_core.Mat img1,
opencv_core.Mat img2,
opencv_core.Mat H1to2,
opencv_features2d.KeyPoint keypoints1,
opencv_features2d.KeyPoint keypoints2,
float[] repeatability,
int[] correspCount) |
static void |
opencv_features2d.evaluateFeatureDetector(opencv_core.Mat img1,
opencv_core.Mat img2,
opencv_core.Mat H1to2,
opencv_features2d.KeyPoint keypoints1,
opencv_features2d.KeyPoint keypoints2,
float[] repeatability,
int[] correspCount,
opencv_features2d.FeatureDetector fdetector) |
static void |
opencv_features2d.evaluateFeatureDetector(opencv_core.Mat img1,
opencv_core.Mat img2,
opencv_core.Mat H1to2,
opencv_features2d.KeyPoint keypoints1,
opencv_features2d.KeyPoint keypoints2,
FloatBuffer repeatability,
IntBuffer correspCount) |
static void |
opencv_features2d.evaluateFeatureDetector(opencv_core.Mat img1,
opencv_core.Mat img2,
opencv_core.Mat H1to2,
opencv_features2d.KeyPoint keypoints1,
opencv_features2d.KeyPoint keypoints2,
FloatBuffer repeatability,
IntBuffer correspCount,
opencv_features2d.FeatureDetector fdetector) |
static void |
opencv_features2d.evaluateFeatureDetector(opencv_core.Mat img1,
opencv_core.Mat img2,
opencv_core.Mat H1to2,
opencv_features2d.KeyPoint keypoints1,
opencv_features2d.KeyPoint keypoints2,
FloatPointer repeatability,
IntPointer correspCount) |
static void |
opencv_features2d.evaluateFeatureDetector(opencv_core.Mat img1,
opencv_core.Mat img2,
opencv_core.Mat H1to2,
opencv_features2d.KeyPoint keypoints1,
opencv_features2d.KeyPoint keypoints2,
FloatPointer repeatability,
IntPointer correspCount,
opencv_features2d.FeatureDetector fdetector)
\
Functions to evaluate the feature detectors and [generic] descriptor extractors *
\
|
static void |
opencv_features2d.evaluateGenericDescriptorMatcher(opencv_core.Mat img1,
opencv_core.Mat img2,
opencv_core.Mat H1to2,
opencv_features2d.KeyPoint keypoints1,
opencv_features2d.KeyPoint keypoints2,
opencv_features2d.DMatchVectorVector matches1to2,
opencv_core.ByteVectorVector correctMatches1to2Mask,
opencv_core.Point2f recallPrecisionCurve) |
static void |
opencv_features2d.evaluateGenericDescriptorMatcher(opencv_core.Mat img1,
opencv_core.Mat img2,
opencv_core.Mat H1to2,
opencv_features2d.KeyPoint keypoints1,
opencv_features2d.KeyPoint keypoints2,
opencv_features2d.DMatchVectorVector matches1to2,
opencv_core.ByteVectorVector correctMatches1to2Mask,
opencv_core.Point2f recallPrecisionCurve,
opencv_features2d.GenericDescriptorMatcher dmatch) |
static void |
opencv_features2d.FAST(opencv_core.Mat image,
opencv_features2d.KeyPoint keypoints,
int threshold) |
static void |
opencv_features2d.FAST(opencv_core.Mat image,
opencv_features2d.KeyPoint keypoints,
int threshold,
boolean nonmaxSuppression)
detects corners using FAST algorithm by E.
|
static void |
opencv_features2d.FASTX(opencv_core.Mat image,
opencv_features2d.KeyPoint keypoints,
int threshold,
boolean nonmaxSuppression,
int type) |
void |
opencv_nonfree.SIFT.findScaleSpaceExtrema(opencv_core.MatVector gauss_pyr,
opencv_core.MatVector dog_pyr,
opencv_features2d.KeyPoint keypoints) |
void |
opencv_legacy.LDetector.getMostStable2D(opencv_core.Mat image,
opencv_features2d.KeyPoint keypoints,
int maxCount,
opencv_legacy.PatchGenerator patchGenerator) |
void |
opencv_legacy.OneWayDescriptorBase.InitializeDescriptor(int desc_idx,
opencv_core.IplImage train_image,
opencv_features2d.KeyPoint keypoint,
BytePointer feature_label) |
void |
opencv_legacy.OneWayDescriptorBase.InitializeDescriptor(int desc_idx,
opencv_core.IplImage train_image,
opencv_features2d.KeyPoint keypoint,
String feature_label) |
void |
opencv_legacy.OneWayDescriptorBase.InitializeDescriptors(opencv_core.IplImage train_image,
opencv_features2d.KeyPoint features) |
void |
opencv_legacy.OneWayDescriptorBase.InitializeDescriptors(opencv_core.IplImage train_image,
opencv_features2d.KeyPoint features,
BytePointer feature_label,
int desc_start_idx) |
void |
opencv_legacy.OneWayDescriptorBase.InitializeDescriptors(opencv_core.IplImage train_image,
opencv_features2d.KeyPoint features,
String feature_label,
int desc_start_idx) |
void |
opencv_legacy.OneWayDescriptorObject.InitializeObjectDescriptors(opencv_core.IplImage train_image,
opencv_features2d.KeyPoint features,
BytePointer feature_label) |
void |
opencv_legacy.OneWayDescriptorObject.InitializeObjectDescriptors(opencv_core.IplImage train_image,
opencv_features2d.KeyPoint features,
BytePointer feature_label,
int desc_start_idx,
float scale,
int is_background) |
void |
opencv_legacy.OneWayDescriptorObject.InitializeObjectDescriptors(opencv_core.IplImage train_image,
opencv_features2d.KeyPoint features,
String feature_label) |
void |
opencv_legacy.OneWayDescriptorObject.InitializeObjectDescriptors(opencv_core.IplImage train_image,
opencv_features2d.KeyPoint features,
String feature_label,
int desc_start_idx,
float scale,
int is_background) |
opencv_stitching.ImageFeatures |
opencv_stitching.ImageFeatures.keypoints(opencv_features2d.KeyPoint keypoints) |
void |
opencv_features2d.GenericDescriptorMatcher.knnMatch(opencv_core.Mat queryImage,
opencv_features2d.KeyPoint queryKeypoints,
opencv_core.Mat trainImage,
opencv_features2d.KeyPoint trainKeypoints,
opencv_features2d.DMatchVectorVector matches,
int k) |
void |
opencv_features2d.GenericDescriptorMatcher.knnMatch(opencv_core.Mat queryImage,
opencv_features2d.KeyPoint queryKeypoints,
opencv_core.Mat trainImage,
opencv_features2d.KeyPoint trainKeypoints,
opencv_features2d.DMatchVectorVector matches,
int k,
opencv_core.Mat mask,
boolean compactResult) |
void |
opencv_features2d.GenericDescriptorMatcher.knnMatch(opencv_core.Mat queryImage,
opencv_features2d.KeyPoint queryKeypoints,
opencv_features2d.DMatchVectorVector matches,
int k) |
void |
opencv_features2d.GenericDescriptorMatcher.knnMatch(opencv_core.Mat queryImage,
opencv_features2d.KeyPoint queryKeypoints,
opencv_features2d.DMatchVectorVector matches,
int k,
opencv_core.MatVector masks,
boolean compactResult) |
void |
opencv_features2d.GenericDescriptorMatcher.match(opencv_core.Mat queryImage,
opencv_features2d.KeyPoint queryKeypoints,
opencv_core.Mat trainImage,
opencv_features2d.KeyPoint trainKeypoints,
opencv_features2d.DMatch matches) |
void |
opencv_features2d.GenericDescriptorMatcher.match(opencv_core.Mat queryImage,
opencv_features2d.KeyPoint queryKeypoints,
opencv_core.Mat trainImage,
opencv_features2d.KeyPoint trainKeypoints,
opencv_features2d.DMatch matches,
opencv_core.Mat mask) |
void |
opencv_features2d.GenericDescriptorMatcher.match(opencv_core.Mat queryImage,
opencv_features2d.KeyPoint queryKeypoints,
opencv_features2d.DMatch matches) |
void |
opencv_features2d.GenericDescriptorMatcher.match(opencv_core.Mat queryImage,
opencv_features2d.KeyPoint queryKeypoints,
opencv_features2d.DMatch matches,
opencv_core.MatVector masks) |
static float |
opencv_features2d.KeyPoint.overlap(opencv_features2d.KeyPoint kp1,
opencv_features2d.KeyPoint kp2)
computes overlap for pair of keypoints;
overlap is a ratio between area of keypoint regions intersection and
area of keypoint regions union (now keypoint region is circle)
|
opencv_features2d.KeyPointVectorVector |
opencv_features2d.KeyPointVectorVector.put(long i,
long j,
opencv_features2d.KeyPoint value) |
opencv_features2d.KeyPointVectorVector |
opencv_features2d.KeyPointVectorVector.put(opencv_features2d.KeyPoint[]... array) |
void |
opencv_features2d.GenericDescriptorMatcher.radiusMatch(opencv_core.Mat queryImage,
opencv_features2d.KeyPoint queryKeypoints,
opencv_core.Mat trainImage,
opencv_features2d.KeyPoint trainKeypoints,
opencv_features2d.DMatchVectorVector matches,
float maxDistance) |
void |
opencv_features2d.GenericDescriptorMatcher.radiusMatch(opencv_core.Mat queryImage,
opencv_features2d.KeyPoint queryKeypoints,
opencv_core.Mat trainImage,
opencv_features2d.KeyPoint trainKeypoints,
opencv_features2d.DMatchVectorVector matches,
float maxDistance,
opencv_core.Mat mask,
boolean compactResult) |
void |
opencv_features2d.GenericDescriptorMatcher.radiusMatch(opencv_core.Mat queryImage,
opencv_features2d.KeyPoint queryKeypoints,
opencv_features2d.DMatchVectorVector matches,
float maxDistance) |
void |
opencv_features2d.GenericDescriptorMatcher.radiusMatch(opencv_core.Mat queryImage,
opencv_features2d.KeyPoint queryKeypoints,
opencv_features2d.DMatchVectorVector matches,
float maxDistance,
opencv_core.MatVector masks,
boolean compactResult) |
static void |
opencv_features2d.read(opencv_core.FileNode node,
opencv_features2d.KeyPoint keypoints)
reads vector of keypoints from the specified file storage node
|
static void |
opencv_features2d.KeyPointsFilter.removeDuplicated(opencv_features2d.KeyPoint keypoints) |
static void |
opencv_features2d.KeyPointsFilter.retainBest(opencv_features2d.KeyPoint keypoints,
int npoints) |
static void |
opencv_features2d.KeyPointsFilter.runByImageBorder(opencv_features2d.KeyPoint keypoints,
opencv_core.Size imageSize,
int borderSize) |
static void |
opencv_features2d.KeyPointsFilter.runByKeypointSize(opencv_features2d.KeyPoint keypoints,
float minSize) |
static void |
opencv_features2d.KeyPointsFilter.runByKeypointSize(opencv_features2d.KeyPoint keypoints,
float minSize,
float maxSize) |
static void |
opencv_features2d.KeyPointsFilter.runByPixelsMask(opencv_features2d.KeyPoint keypoints,
opencv_core.Mat mask) |
void |
opencv_legacy.OneWayDescriptorObject.SetLabeledFeatures(opencv_features2d.KeyPoint features) |
void |
opencv_legacy.PlanarObjectDetector.train(opencv_core.MatVector pyr,
opencv_features2d.KeyPoint keypoints) |
void |
opencv_legacy.PlanarObjectDetector.train(opencv_core.MatVector pyr,
opencv_features2d.KeyPoint keypoints,
int _patchSize,
int _nstructs,
int _structSize,
int _nviews,
opencv_legacy.LDetector detector,
opencv_legacy.PatchGenerator patchGenerator) |
void |
opencv_legacy.FernClassifier.trainFromSingleView(opencv_core.Mat image,
opencv_features2d.KeyPoint keypoints) |
void |
opencv_legacy.FernClassifier.trainFromSingleView(opencv_core.Mat image,
opencv_features2d.KeyPoint keypoints,
int _patchSize,
int _signatureSize,
int _nstructs,
int _structSize,
int _nviews,
int _compressionMethod,
opencv_legacy.PatchGenerator patchGenerator) |
static opencv_core.Mat |
opencv_features2d.windowedMatchingMask(opencv_features2d.KeyPoint keypoints1,
opencv_features2d.KeyPoint keypoints2,
float maxDeltaX,
float maxDeltaY) |
static void |
opencv_features2d.write(opencv_core.FileStorage fs,
BytePointer name,
opencv_features2d.KeyPoint keypoints)
writes vector of keypoints to the file storage
|
static void |
opencv_features2d.write(opencv_core.FileStorage fs,
String name,
opencv_features2d.KeyPoint keypoints) |
| Constructor and Description |
|---|
opencv_features2d.KeyPointVectorVector(opencv_features2d.KeyPoint[]... array) |
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