Uses of Class
org.bytedeco.javacpp.opencv_core.KeyPointVector

Packages that use opencv_core.KeyPointVector

Package	Description
org.bytedeco.javacpp

Uses of opencv_core.KeyPointVector in org.bytedeco.javacpp

Methods in org.bytedeco.javacpp that return opencv_core.KeyPointVector

Modifier and Type	Method and Description
opencv_core.KeyPointVector	opencv_core.KeyPointVectorVector.get(long i)
opencv_core.KeyPointVector	opencv_stitching.ImageFeatures.keypoints()
opencv_core.KeyPointVector	opencv_core.KeyPointVector.put(long i, opencv_core.KeyPoint value)
opencv_core.KeyPointVector	opencv_core.KeyPointVector.put(opencv_core.KeyPoint... array)
opencv_core.KeyPointVector	opencv_core.KeyPointVector.put(opencv_core.KeyPointVector x)

Methods in org.bytedeco.javacpp with parameters of type opencv_core.KeyPointVector

Modifier and Type	Method and Description
static void	opencv_features2d.AGAST(opencv_core.Mat image, opencv_core.KeyPointVector keypoints, int threshold)
static void	opencv_features2d.AGAST(opencv_core.Mat image, opencv_core.KeyPointVector keypoints, int threshold, boolean nonmaxSuppression) \overload
static void	opencv_features2d.AGAST(opencv_core.Mat image, opencv_core.KeyPointVector keypoints, int threshold, boolean nonmaxSuppression, int type) \brief Detects corners using the AGAST algorithm
void	opencv_xfeatures2d.DAISY.compute(opencv_core.Mat image, opencv_core.KeyPointVector keypoints, opencv_core.Mat descriptors) \overload
void	opencv_features2d.Feature2D.compute(opencv_core.Mat image, opencv_core.KeyPointVector keypoints, opencv_core.Mat descriptors) \brief Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).
void	opencv_features2d.BOWImgDescriptorExtractor.compute(opencv_core.Mat image, opencv_core.KeyPointVector keypoints, opencv_core.Mat imgDescriptor)
void	opencv_features2d.BOWImgDescriptorExtractor.compute(opencv_core.Mat image, opencv_core.KeyPointVector keypoints, opencv_core.Mat imgDescriptor, opencv_core.IntVectorVector pointIdxsOfClusters, opencv_core.Mat descriptors) \brief Computes an image descriptor using the set visual vocabulary.
static void	opencv_core.KeyPoint.convert(opencv_core.KeyPointVector keypoints, opencv_core.Point2fVector points2f)
static void	opencv_core.KeyPoint.convert(opencv_core.KeyPointVector keypoints, opencv_core.Point2fVector points2f, int[] keypointIndexes)
static void	opencv_core.KeyPoint.convert(opencv_core.KeyPointVector keypoints, opencv_core.Point2fVector points2f, IntBuffer keypointIndexes)
static void	opencv_core.KeyPoint.convert(opencv_core.KeyPointVector keypoints, opencv_core.Point2fVector points2f, IntPointer keypointIndexes) This method converts vector of keypoints to vector of points or the reverse, where each keypoint is assigned the same size and the same orientation.
static void	opencv_core.KeyPoint.convert(opencv_core.Point2fVector points2f, opencv_core.KeyPointVector keypoints)
static void	opencv_core.KeyPoint.convert(opencv_core.Point2fVector points2f, opencv_core.KeyPointVector keypoints, float size, float response, int octave, int class_id) \overload
void	opencv_features2d.Feature2D.detect(opencv_core.Mat image, opencv_core.KeyPointVector keypoints)
void	opencv_features2d.Feature2D.detect(opencv_core.Mat image, opencv_core.KeyPointVector keypoints, opencv_core.Mat mask) \brief Detects keypoints in an image (first variant) or image set (second variant).
void	opencv_features2d.Feature2D.detectAndCompute(opencv_core.Mat image, opencv_core.Mat mask, opencv_core.KeyPointVector keypoints, opencv_core.Mat descriptors)
void	opencv_features2d.Feature2D.detectAndCompute(opencv_core.Mat image, opencv_core.Mat mask, opencv_core.KeyPointVector keypoints, opencv_core.Mat descriptors, boolean useProvidedKeypoints) Detects keypoints and computes the descriptors
static void	opencv_features2d.drawKeypoints(opencv_core.Mat image, opencv_core.KeyPointVector keypoints, opencv_core.Mat outImage)
static void	opencv_features2d.drawKeypoints(opencv_core.Mat image, opencv_core.KeyPointVector keypoints, opencv_core.Mat outImage, opencv_core.Scalar color, int flags) \brief Draws keypoints.
static void	opencv_features2d.drawMatches(opencv_core.Mat img1, opencv_core.KeyPointVector keypoints1, opencv_core.Mat img2, opencv_core.KeyPointVector keypoints2, opencv_core.DMatchVector matches1to2, opencv_core.Mat outImg)
static void	opencv_features2d.drawMatches(opencv_core.Mat img1, opencv_core.KeyPointVector keypoints1, opencv_core.Mat img2, opencv_core.KeyPointVector keypoints2, opencv_core.DMatchVector 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_core.KeyPointVector keypoints1, opencv_core.Mat img2, opencv_core.KeyPointVector keypoints2, opencv_core.DMatchVector 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_core.KeyPointVector keypoints1, opencv_core.Mat img2, opencv_core.KeyPointVector keypoints2, opencv_core.DMatchVector matches1to2, opencv_core.Mat outImg, opencv_core.Scalar matchColor, opencv_core.Scalar singlePointColor, BytePointer matchesMask, int flags) \brief Draws the found matches of keypoints from two images.
static void	opencv_features2d.drawMatchesKnn(opencv_core.Mat img1, opencv_core.KeyPointVector keypoints1, opencv_core.Mat img2, opencv_core.KeyPointVector keypoints2, opencv_core.DMatchVectorVector matches1to2, opencv_core.Mat outImg)
static void	opencv_features2d.drawMatchesKnn(opencv_core.Mat img1, opencv_core.KeyPointVector keypoints1, opencv_core.Mat img2, opencv_core.KeyPointVector keypoints2, opencv_core.DMatchVectorVector matches1to2, opencv_core.Mat outImg, opencv_core.Scalar matchColor, opencv_core.Scalar singlePointColor, opencv_core.ByteVectorVector matchesMask, int flags) \overload
static void	opencv_features2d.evaluateFeatureDetector(opencv_core.Mat img1, opencv_core.Mat img2, opencv_core.Mat H1to2, opencv_core.KeyPointVector keypoints1, opencv_core.KeyPointVector keypoints2, float[] repeatability, int[] correspCount)
static void	opencv_features2d.evaluateFeatureDetector(opencv_core.Mat img1, opencv_core.Mat img2, opencv_core.Mat H1to2, opencv_core.KeyPointVector keypoints1, opencv_core.KeyPointVector keypoints2, float[] repeatability, int[] correspCount, opencv_features2d.Feature2D fdetector)
static void	opencv_features2d.evaluateFeatureDetector(opencv_core.Mat img1, opencv_core.Mat img2, opencv_core.Mat H1to2, opencv_core.KeyPointVector keypoints1, opencv_core.KeyPointVector keypoints2, FloatBuffer repeatability, IntBuffer correspCount)
static void	opencv_features2d.evaluateFeatureDetector(opencv_core.Mat img1, opencv_core.Mat img2, opencv_core.Mat H1to2, opencv_core.KeyPointVector keypoints1, opencv_core.KeyPointVector keypoints2, FloatBuffer repeatability, IntBuffer correspCount, opencv_features2d.Feature2D fdetector)
static void	opencv_features2d.evaluateFeatureDetector(opencv_core.Mat img1, opencv_core.Mat img2, opencv_core.Mat H1to2, opencv_core.KeyPointVector keypoints1, opencv_core.KeyPointVector keypoints2, FloatPointer repeatability, IntPointer correspCount)
static void	opencv_features2d.evaluateFeatureDetector(opencv_core.Mat img1, opencv_core.Mat img2, opencv_core.Mat H1to2, opencv_core.KeyPointVector keypoints1, opencv_core.KeyPointVector keypoints2, FloatPointer repeatability, IntPointer correspCount, opencv_features2d.Feature2D fdetector) \} features2d_draw
static void	opencv_features2d.FAST(opencv_core.Mat image, opencv_core.KeyPointVector keypoints, int threshold)
static void	opencv_features2d.FAST(opencv_core.Mat image, opencv_core.KeyPointVector keypoints, int threshold, boolean nonmaxSuppression) \overload
static void	opencv_features2d.FAST(opencv_core.Mat image, opencv_core.KeyPointVector keypoints, int threshold, boolean nonmaxSuppression, int type) \brief Detects corners using the FAST algorithm
opencv_stitching.ImageFeatures	opencv_stitching.ImageFeatures.keypoints(opencv_core.KeyPointVector keypoints)
opencv_core.KeyPointVectorVector	opencv_core.KeyPointVectorVector.put(long i, opencv_core.KeyPointVector value)
opencv_core.KeyPointVectorVector	opencv_core.KeyPointVectorVector.put(opencv_core.KeyPointVector... array)
opencv_core.KeyPointVector	opencv_core.KeyPointVector.put(opencv_core.KeyPointVector x)
static void	opencv_core.read(opencv_core.FileNode node, opencv_core.KeyPointVector keypoints)
static void	opencv_features2d.KeyPointsFilter.removeDuplicated(opencv_core.KeyPointVector keypoints)
static void	opencv_features2d.KeyPointsFilter.retainBest(opencv_core.KeyPointVector keypoints, int npoints)
static void	opencv_features2d.KeyPointsFilter.runByImageBorder(opencv_core.KeyPointVector keypoints, opencv_core.Size imageSize, int borderSize)
static void	opencv_features2d.KeyPointsFilter.runByKeypointSize(opencv_core.KeyPointVector keypoints, float minSize)
static void	opencv_features2d.KeyPointsFilter.runByKeypointSize(opencv_core.KeyPointVector keypoints, float minSize, float maxSize)
static void	opencv_features2d.KeyPointsFilter.runByPixelsMask(opencv_core.KeyPointVector keypoints, opencv_core.Mat mask)
static void	opencv_core.write(opencv_core.FileStorage fs, BytePointer name, opencv_core.KeyPointVector value)
static void	opencv_core.write(opencv_core.FileStorage fs, String name, opencv_core.KeyPointVector value)

Constructors in org.bytedeco.javacpp with parameters of type opencv_core.KeyPointVector

Constructor and Description
opencv_core.KeyPointVectorVector(opencv_core.KeyPointVector... array)