Modifier and Type | Method and Description |
---|---|
static void |
opencv_stitching.computeImageFeatures(Feature2D featuresFinder,
GpuMatVector images,
ImageFeatures features) |
static void |
opencv_stitching.computeImageFeatures(Feature2D featuresFinder,
GpuMatVector images,
ImageFeatures features,
GpuMatVector masks) |
static void |
opencv_stitching.computeImageFeatures(Feature2D featuresFinder,
MatVector images,
ImageFeatures features) |
static void |
opencv_stitching.computeImageFeatures(Feature2D featuresFinder,
MatVector images,
ImageFeatures features,
MatVector masks)
\brief
|
static void |
opencv_stitching.computeImageFeatures(Feature2D featuresFinder,
UMatVector images,
ImageFeatures features) |
static void |
opencv_stitching.computeImageFeatures(Feature2D featuresFinder,
UMatVector images,
ImageFeatures features,
UMatVector masks) |
static void |
opencv_stitching.computeImageFeatures2(Feature2D featuresFinder,
GpuMat image,
ImageFeatures features) |
static void |
opencv_stitching.computeImageFeatures2(Feature2D featuresFinder,
GpuMat image,
ImageFeatures features,
GpuMat mask) |
static void |
opencv_stitching.computeImageFeatures2(Feature2D featuresFinder,
Mat image,
ImageFeatures features) |
static void |
opencv_stitching.computeImageFeatures2(Feature2D featuresFinder,
Mat image,
ImageFeatures features,
Mat mask)
\brief
|
static void |
opencv_stitching.computeImageFeatures2(Feature2D featuresFinder,
UMat image,
ImageFeatures features) |
static void |
opencv_stitching.computeImageFeatures2(Feature2D featuresFinder,
UMat image,
ImageFeatures features,
UMat mask) |
static void |
opencv_features2d.evaluateFeatureDetector(Mat img1,
Mat img2,
Mat H1to2,
KeyPointVector keypoints1,
KeyPointVector keypoints2,
float[] repeatability,
int[] correspCount,
Feature2D fdetector) |
static void |
opencv_features2d.evaluateFeatureDetector(Mat img1,
Mat img2,
Mat H1to2,
KeyPointVector keypoints1,
KeyPointVector keypoints2,
FloatBuffer repeatability,
IntBuffer correspCount,
Feature2D fdetector) |
static void |
opencv_features2d.evaluateFeatureDetector(Mat img1,
Mat img2,
Mat H1to2,
KeyPointVector keypoints1,
KeyPointVector keypoints2,
FloatPointer repeatability,
IntPointer correspCount,
Feature2D fdetector)
\} features2d_draw
|
static boolean |
opencv_calib3d.findCirclesGrid(GpuMat image,
Size patternSize,
GpuMat centers,
int flags,
Feature2D blobDetector) |
static boolean |
opencv_calib3d.findCirclesGrid(GpuMat image,
Size patternSize,
GpuMat centers,
int flags,
Feature2D blobDetector,
CirclesGridFinderParameters parameters) |
static boolean |
opencv_calib3d.findCirclesGrid(Mat image,
Size patternSize,
Mat centers,
int flags,
Feature2D blobDetector)
\overload
|
static boolean |
opencv_calib3d.findCirclesGrid(Mat image,
Size patternSize,
Mat centers,
int flags,
Feature2D blobDetector,
CirclesGridFinderParameters parameters)
\brief Finds centers in the grid of circles.
|
static boolean |
opencv_calib3d.findCirclesGrid(UMat image,
Size patternSize,
UMat centers,
int flags,
Feature2D blobDetector) |
static boolean |
opencv_calib3d.findCirclesGrid(UMat image,
Size patternSize,
UMat centers,
int flags,
Feature2D blobDetector,
CirclesGridFinderParameters parameters) |
Modifier and Type | Class and Description |
---|---|
class |
Feature2DAsync
\brief Abstract base class for CUDA asynchronous 2D image feature detectors and descriptor extractors.
|
Modifier and Type | Class and Description |
---|---|
class |
AgastFeatureDetector
\} features2d_main
|
class |
AKAZE
\brief Class implementing the AKAZE keypoint detector and descriptor extractor, described in \cite ANB13.
|
class |
BRISK
\addtogroup features2d_main
\{
|
class |
FastFeatureDetector
\} features2d_main
|
class |
GFTTDetector
\brief Wrapping class for feature detection using the goodFeaturesToTrack function.
|
class |
KAZE
\} features2d_main
|
class |
MSER
\brief Maximally stable extremal region extractor
|
class |
ORB
\brief Class implementing the ORB (*oriented BRIEF*) keypoint detector and descriptor extractor
|
class |
SimpleBlobDetector
\brief Class for extracting blobs from an image.
|
Modifier and Type | Method and Description |
---|---|
Feature2D |
Feature2D.position(long position) |
Constructor and Description |
---|
BOWImgDescriptorExtractor(Feature2D dextractor,
DescriptorMatcher dmatcher)
\brief The constructor.
|
Modifier and Type | Method and Description |
---|---|
Feature2D |
Stitcher.featuresFinder() |
Modifier and Type | Method and Description |
---|---|
void |
Stitcher.setFeaturesFinder(Feature2D features_finder) |
Modifier and Type | Method and Description |
---|---|
Feature2D |
KeypointBasedMotionEstimator.detector() |
Modifier and Type | Method and Description |
---|---|
void |
KeypointBasedMotionEstimator.setDetector(Feature2D val) |
Modifier and Type | Class and Description |
---|---|
class |
AffineFeature2D
\brief Class implementing affine adaptation for key points.
|
class |
BoostDesc
\brief Class implementing BoostDesc (Learning Image Descriptors with Boosting), described in
\cite Trzcinski13a and \cite Trzcinski13b.
|
class |
BriefDescriptorExtractor
\brief Class for computing BRIEF descriptors described in \cite calon2010 .
|
class |
DAISY
\brief Class implementing DAISY descriptor, described in \cite Tola10
|
class |
FREAK
\addtogroup xfeatures2d_experiment
\{
|
class |
HarrisLaplaceFeatureDetector
\brief Class implementing the Harris-Laplace feature detector as described in \cite Mikolajczyk2004.
|
class |
LATCH
latch Class for computing the LATCH descriptor.
|
class |
LUCID
\brief Class implementing the locally uniform comparison image descriptor, described in \cite LUCID
|
class |
MSDDetector
\brief Class implementing the MSD (*Maximal Self-Dissimilarity*) keypoint detector, described in \cite Tombari14.
|
class |
SIFT
\brief Class for extracting keypoints and computing descriptors using the Scale Invariant Feature Transform
(SIFT) algorithm by D.
|
class |
StarDetector
\brief The class implements the keypoint detector introduced by \cite Agrawal08, synonym of StarDetector.
|
class |
SURF
\brief Class for extracting Speeded Up Robust Features from an image \cite Bay06 .
|
class |
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 |
---|---|
static AffineFeature2D |
AffineFeature2D.create(Feature2D keypoint_detector)
\brief Creates an instance where keypoint detector and descriptor
extractor are identical.
|
static AffineFeature2D |
AffineFeature2D.create(Feature2D keypoint_detector,
Feature2D descriptor_extractor)
\brief Creates an instance wrapping the given keypoint detector and
descriptor extractor.
|
Copyright © 2020. All rights reserved.