| Package | Description |
|---|---|
| org.bytedeco.javacpp |
| Modifier and Type | Class and Description |
|---|---|
static class |
opencv_features2d.AgastFeatureDetector
\} features2d_main
|
static class |
opencv_features2d.AKAZE
\brief Class implementing the AKAZE keypoint detector and descriptor extractor, described in \cite ANB13.
|
static class |
opencv_features2d.BRISK
\addtogroup features2d_main
\{
|
static class |
opencv_features2d.FastFeatureDetector
\} features2d_main
|
static class |
opencv_features2d.GFTTDetector
\brief Wrapping class for feature detection using the goodFeaturesToTrack function.
|
static class |
opencv_features2d.KAZE
\} features2d_main
|
static class |
opencv_features2d.MSER
\brief Maximally stable extremal region extractor
|
static class |
opencv_features2d.ORB
\brief Class implementing the ORB (*oriented BRIEF*) keypoint detector and descriptor extractor
|
static class |
opencv_features2d.SimpleBlobDetector
\brief Class for extracting blobs from an image.
|
static class |
opencv_xfeatures2d.AffineFeature2D
\brief Class implementing affine adaptation for key points.
|
static class |
opencv_xfeatures2d.BoostDesc
\brief Class implementing BoostDesc (Learning Image Descriptors with Boosting), described in
\cite Trzcinski13a and \cite Trzcinski13b.
|
static class |
opencv_xfeatures2d.BriefDescriptorExtractor
\brief Class for computing BRIEF descriptors described in \cite calon2010 .
|
static class |
opencv_xfeatures2d.DAISY
\brief Class implementing DAISY descriptor, described in \cite Tola10
|
static class |
opencv_xfeatures2d.FREAK
\addtogroup xfeatures2d_experiment
\{
|
static class |
opencv_xfeatures2d.HarrisLaplaceFeatureDetector
\brief Class implementing the Harris-Laplace feature detector as described in \cite Mikolajczyk2004.
|
static class |
opencv_xfeatures2d.LATCH
latch Class for computing the LATCH descriptor.
|
static class |
opencv_xfeatures2d.LUCID
\brief Class implementing the locally uniform comparison image descriptor, described in \cite LUCID
|
static class |
opencv_xfeatures2d.MSDDetector
\brief Class implementing the MSD (*Maximal Self-Dissimilarity*) keypoint detector, described in \cite Tombari14.
|
static class |
opencv_xfeatures2d.SIFT
\addtogroup xfeatures2d_nonfree
\{
|
static class |
opencv_xfeatures2d.StarDetector
\brief The class implements the keypoint detector introduced by \cite Agrawal08, synonym of StarDetector.
|
static class |
opencv_xfeatures2d.SURF
\brief Class for extracting Speeded Up Robust Features from an image \cite Bay06 .
|
static class |
opencv_xfeatures2d.VGG
\brief Class implementing VGG (Oxford Visual Geometry Group) descriptor trained end to end
using "Descriptor Learning Using Convex Optimisation" (DLCO) aparatus described in \cite Simonyan14.
|
| Modifier and Type | Method and Description |
|---|---|
opencv_features2d.Feature2D |
opencv_videostab.KeypointBasedMotionEstimator.detector() |
opencv_features2d.Feature2D |
opencv_features2d.Feature2D.position(long position) |
| Modifier and Type | Method and Description |
|---|---|
static opencv_xfeatures2d.AffineFeature2D |
opencv_xfeatures2d.AffineFeature2D.create(opencv_features2d.Feature2D keypoint_detector)
\brief Creates an instance where keypoint detector and descriptor
extractor are identical.
|
static opencv_xfeatures2d.AffineFeature2D |
opencv_xfeatures2d.AffineFeature2D.create(opencv_features2d.Feature2D keypoint_detector,
opencv_features2d.Feature2D descriptor_extractor)
\brief Creates an instance wrapping the given keypoint detector and
descriptor extractor.
|
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,
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,
org.bytedeco.javacpp.FloatPointer repeatability,
org.bytedeco.javacpp.IntPointer correspCount,
opencv_features2d.Feature2D fdetector)
\} features2d_draw
|
static boolean |
opencv_calib3d.findCirclesGrid(opencv_core.GpuMat image,
opencv_core.Size patternSize,
opencv_core.GpuMat centers,
int flags,
opencv_features2d.Feature2D blobDetector) |
static boolean |
opencv_calib3d.findCirclesGrid(opencv_core.GpuMat image,
opencv_core.Size patternSize,
opencv_core.GpuMat centers,
int flags,
opencv_features2d.Feature2D blobDetector,
opencv_calib3d.CirclesGridFinderParameters parameters) |
static boolean |
opencv_calib3d.findCirclesGrid(opencv_core.Mat image,
opencv_core.Size patternSize,
opencv_core.Mat centers,
int flags,
opencv_features2d.Feature2D blobDetector)
\overload
|
static boolean |
opencv_calib3d.findCirclesGrid(opencv_core.Mat image,
opencv_core.Size patternSize,
opencv_core.Mat centers,
int flags,
opencv_features2d.Feature2D blobDetector,
opencv_calib3d.CirclesGridFinderParameters parameters)
\brief Finds centers in the grid of circles.
|
static boolean |
opencv_calib3d.findCirclesGrid(opencv_core.UMat image,
opencv_core.Size patternSize,
opencv_core.UMat centers,
int flags,
opencv_features2d.Feature2D blobDetector) |
static boolean |
opencv_calib3d.findCirclesGrid(opencv_core.UMat image,
opencv_core.Size patternSize,
opencv_core.UMat centers,
int flags,
opencv_features2d.Feature2D blobDetector,
opencv_calib3d.CirclesGridFinderParameters parameters) |
static boolean |
opencv_calib3d.findCirclesGrid2(opencv_core.GpuMat image,
opencv_core.Size patternSize,
opencv_core.GpuMat centers,
int flags,
opencv_features2d.Feature2D blobDetector,
opencv_calib3d.CirclesGridFinderParameters2 parameters) |
static boolean |
opencv_calib3d.findCirclesGrid2(opencv_core.Mat image,
opencv_core.Size patternSize,
opencv_core.Mat centers,
int flags,
opencv_features2d.Feature2D blobDetector,
opencv_calib3d.CirclesGridFinderParameters2 parameters)
\overload
|
static boolean |
opencv_calib3d.findCirclesGrid2(opencv_core.UMat image,
opencv_core.Size patternSize,
opencv_core.UMat centers,
int flags,
opencv_features2d.Feature2D blobDetector,
opencv_calib3d.CirclesGridFinderParameters2 parameters) |
void |
opencv_videostab.KeypointBasedMotionEstimator.setDetector(opencv_features2d.Feature2D val) |
| Constructor and Description |
|---|
BOWImgDescriptorExtractor(opencv_features2d.Feature2D dextractor,
opencv_features2d.DescriptorMatcher dmatcher)
\brief The constructor.
|
Copyright © 2018. All rights reserved.