| Package | Description |
|---|---|
| org.bytedeco.javacpp |
| Modifier and Type | Class and Description |
|---|---|
static class |
opencv_features2d.AdjusterAdapter
\brief A feature detector parameter adjuster, this is used by the DynamicAdaptedFeatureDetector
and is a wrapper for FeatureDetector that allow them to be adjusted after a detection
|
static class |
opencv_features2d.BRISK
BRISK implementation
|
static class |
opencv_features2d.DenseFeatureDetector |
static class |
opencv_features2d.DynamicAdaptedFeatureDetector
\brief an adaptively adjusting detector that iteratively detects until the desired number
of features are detected.
|
static class |
opencv_features2d.FastAdjuster
\brief an adjust for the FAST detector.
|
static class |
opencv_features2d.FastFeatureDetector |
static class |
opencv_features2d.Feature2D |
static class |
opencv_features2d.GFTTDetector |
static class |
opencv_features2d.GridAdaptedFeatureDetector |
static class |
opencv_features2d.MSER
Maximal Stable Extremal Regions class.
|
static class |
opencv_features2d.ORB
ORB implementation.
|
static class |
opencv_features2d.PyramidAdaptedFeatureDetector |
static class |
opencv_features2d.SimpleBlobDetector |
static class |
opencv_features2d.StarAdjuster
An adjuster for StarFeatureDetector, this one adjusts the responseThreshold for now
TODO find a faster way to converge the parameters for Star - use CvStarDetectorParams
|
static class |
opencv_features2d.StarDetector
The "Star" Detector.
|
static class |
opencv_features2d.SurfAdjuster |
static class |
opencv_nonfree.SIFT
SIFT implementation.
|
static class |
opencv_nonfree.SURF
SURF implementation.
|
| Modifier and Type | Method and Description |
|---|---|
opencv_features2d.FeatureDetector |
opencv_features2d.FeatureDetector.create(BytePointer detectorType) |
opencv_features2d.FeatureDetector |
opencv_features2d.FeatureDetector.create(String detectorType) |
opencv_features2d.FeatureDetector |
opencv_videostab.PyrLkRobustMotionEstimator.detector() |
| Modifier and Type | Method and Description |
|---|---|
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,
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,
opencv_features2d.FeatureDetector fdetector)
\
Functions to evaluate the feature detectors and [generic] descriptor extractors *
\
|
static boolean |
opencv_calib3d.findCirclesGrid(opencv_core.Mat image,
opencv_core.Size patternSize,
opencv_core.Mat centers,
int flags,
opencv_features2d.FeatureDetector blobDetector)
finds circles' grid pattern of the specified size in the image
|
void |
opencv_videostab.PyrLkRobustMotionEstimator.setDetector(opencv_features2d.FeatureDetector val) |
| Constructor and Description |
|---|
opencv_features2d.GridAdaptedFeatureDetector(opencv_features2d.FeatureDetector detector,
int maxTotalKeypoints,
int gridRows,
int gridCols) |
opencv_features2d.PyramidAdaptedFeatureDetector(opencv_features2d.FeatureDetector detector) |
opencv_features2d.PyramidAdaptedFeatureDetector(opencv_features2d.FeatureDetector detector,
int maxLevel) |
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