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

Packages that use opencv_core.Algorithm

Package	Description
org.bytedeco.javacpp
org.bytedeco.javacpp.helper

Uses of opencv_core.Algorithm in org.bytedeco.javacpp

Subclasses of opencv_core.Algorithm in org.bytedeco.javacpp

Modifier and Type	Class and Description
static class	opencv_bgsegm.BackgroundSubtractorCNT \brief Background subtraction based on counting.
static class	opencv_bgsegm.BackgroundSubtractorGMG \brief Background Subtractor module based on the algorithm given in \cite Gold2012 .
static class	opencv_bgsegm.BackgroundSubtractorGSOC \brief Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper.
static class	opencv_bgsegm.BackgroundSubtractorLSBP \brief Background Subtraction using Local SVD Binary Pattern.
static class	opencv_bgsegm.BackgroundSubtractorMOG \addtogroup bgsegm \{
static class	opencv_bgsegm.SyntheticSequenceGenerator \brief Synthetic frame sequence generator for testing background subtraction algorithms.
static class	opencv_bioinspired.Retina \brief class which allows the Gipsa/Listic Labs model to be used with OpenCV.
static class	opencv_bioinspired.RetinaFastToneMapping \addtogroup bioinspired \{
static class	opencv_bioinspired.TransientAreasSegmentationModule \brief class which provides a transient/moving areas segmentation module
static class	opencv_calib3d.StereoBM \brief Class for computing stereo correspondence using the block matching algorithm, introduced and contributed to OpenCV by K.
static class	opencv_calib3d.StereoMatcher \brief The base class for stereo correspondence algorithms.
static class	opencv_calib3d.StereoSGBM \brief The class implements the modified H.
static class	opencv_core.ConjGradSolver \brief This class is used to perform the non-linear non-constrained minimization of a function with known gradient,
static class	opencv_core.DownhillSolver \brief This class is used to perform the non-linear non-constrained minimization of a function,
static class	opencv_core.MinProblemSolver \brief Basic interface for all solvers
static class	opencv_cudaarithm.Convolution \brief Base class for convolution (or cross-correlation) operator.
static class	opencv_cudaarithm.DFT \brief Base class for DFT operator as a cv::Algorithm.
static class	opencv_cudaarithm.LookUpTable \brief Base class for transform using lookup table.
static class	opencv_cudafilters.Filter \addtogroup cudafilters \{
static class	opencv_cudaimgproc.CannyEdgeDetector \} cudaimgproc_hist
static class	opencv_cudaimgproc.CornernessCriteria \} cudaimgproc_hough
static class	opencv_cudaimgproc.CornersDetector \brief Base class for Corners Detector.
static class	opencv_cudaimgproc.CudaCLAHE \brief Base class for Contrast Limited Adaptive Histogram Equalization.
static class	opencv_cudaimgproc.HoughCirclesDetector \brief Base class for circles detector algorithm.
static class	opencv_cudaimgproc.HoughLinesDetector \addtogroup cudaimgproc_hough \{
static class	opencv_cudaimgproc.HoughSegmentDetector \brief Base class for line segments detector algorithm.
static class	opencv_cudaimgproc.TemplateMatching \brief Base class for Template Matching.
static class	opencv_cudaobjdetect.CudaCascadeClassifier \brief Cascade classifier class used for object detection.
static class	opencv_cudaobjdetect.HOG \brief The class implements Histogram of Oriented Gradients (\cite Dalal2005) object detector.
static class	opencv_cudaoptflow.BroxOpticalFlow \brief Class computing the optical flow for two images using Brox et al Optical Flow algorithm (\cite Brox2004).
static class	opencv_cudaoptflow.DenseOpticalFlow \brief Base interface for dense optical flow algorithms.
static class	opencv_cudaoptflow.DensePyrLKOpticalFlow \brief Class used for calculating a dense optical flow.
static class	opencv_cudaoptflow.FarnebackOpticalFlow \brief Class computing a dense optical flow using the Gunnar Farneback's algorithm.
static class	opencv_cudaoptflow.OpticalFlowDual_TVL1 \brief Implementation of the Zach, Pock and Bischof Dual TV-L1 Optical Flow method.
static class	opencv_cudaoptflow.SparseOpticalFlow \brief Base interface for sparse optical flow algorithms.
static class	opencv_cudaoptflow.SparsePyrLKOpticalFlow \brief Class used for calculating a sparse optical flow.
static class	opencv_dnn.AbsLayer
static class	opencv_dnn.ActivationLayer
static class	opencv_dnn.BaseConvolutionLayer
static class	opencv_dnn.BatchNormLayer
static class	opencv_dnn.BlankLayer \}
static class	opencv_dnn.BNLLLayer
static class	opencv_dnn.ChannelsPReLULayer
static class	opencv_dnn.ConcatLayer
static class	opencv_dnn.ConvolutionLayer
static class	opencv_dnn.CropAndResizeLayer
static class	opencv_dnn.CropLayer
static class	opencv_dnn.DeconvolutionLayer
static class	opencv_dnn.DetectionOutputLayer
static class	opencv_dnn.EltwiseLayer
static class	opencv_dnn.ELULayer
static class	opencv_dnn.FlattenLayer
static class	opencv_dnn.InnerProductLayer
static class	opencv_dnn.InterpLayer \brief Bilinear resize layer from https://github.com/cdmh/deeplab-public It differs from \ref ResizeLayer in output shape and resize scales computations.
static class	opencv_dnn.Layer \brief This interface class allows to build new Layers - are building blocks of networks.
static class	opencv_dnn.LRNLayer
static class	opencv_dnn.LSTMLayer LSTM recurrent layer
static class	opencv_dnn.MaxUnpoolLayer
static class	opencv_dnn.MVNLayer
static class	opencv_dnn.NormalizeBBoxLayer \brief \f$ L_p \f$ - normalization layer.
static class	opencv_dnn.PaddingLayer \brief Adds extra values for specific axes.
static class	opencv_dnn.PermuteLayer
static class	opencv_dnn.PoolingLayer
static class	opencv_dnn.PowerLayer
static class	opencv_dnn.PriorBoxLayer
static class	opencv_dnn.ProposalLayer
static class	opencv_dnn.RegionLayer
static class	opencv_dnn.ReLU6Layer
static class	opencv_dnn.ReLULayer
static class	opencv_dnn.ReorgLayer
static class	opencv_dnn.ReshapeLayer
static class	opencv_dnn.ResizeLayer \brief Resize input 4-dimensional blob by nearest neighbor or bilinear strategy.
static class	opencv_dnn.RNNLayer \brief Classical recurrent layer
static class	opencv_dnn.ScaleLayer
static class	opencv_dnn.ShiftLayer
static class	opencv_dnn.ShuffleChannelLayer Permute channels of 4-dimensional input blob.
static class	opencv_dnn.SigmoidLayer
static class	opencv_dnn.SliceLayer Slice layer has several modes: 1.
static class	opencv_dnn.SoftmaxLayer
static class	opencv_dnn.SplitLayer
static class	opencv_dnn.TanHLayer
static class	opencv_face.BasicFaceRecognizer \addtogroup face \{
static class	opencv_face.EigenFaceRecognizer
static class	opencv_face.Facemark \brief Abstract base class for all facemark models
static class	opencv_face.FacemarkAAM \addtogroup face \{
static class	opencv_face.FacemarkKazemi \}
static class	opencv_face.FacemarkLBF \addtogroup face \{
static class	opencv_face.FacemarkTrain \brief Abstract base class for trainable facemark models
static class	opencv_face.FaceRecognizer \addtogroup face \{
static class	opencv_face.FisherFaceRecognizer
static class	opencv_face.LBPHFaceRecognizer
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.BFMatcher \brief Brute-force descriptor matcher.
static class	opencv_features2d.BRISK \addtogroup features2d_main \{
static class	opencv_features2d.DescriptorMatcher \addtogroup features2d_match /** \{
static class	opencv_features2d.FastFeatureDetector \} features2d_main
static class	opencv_features2d.Feature2D \brief Abstract base class for 2D image feature detectors and descriptor extractors
static class	opencv_features2d.FlannBasedMatcher \brief Flann-based descriptor matcher.
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_img_hash.AverageHash \addtogroup img_hash \{
static class	opencv_img_hash.BlockMeanHash \brief Image hash based on block mean.
static class	opencv_img_hash.ColorMomentHash \addtogroup img_hash \{
static class	opencv_img_hash.ImgHashBase \addtogroup img_hash \{
static class	opencv_img_hash.MarrHildrethHash \addtogroup img_hash \{
static class	opencv_img_hash.PHash \addtogroup img_hash \{
static class	opencv_img_hash.RadialVarianceHash \addtogroup img_hash \{
static class	opencv_imgproc.CLAHE \brief Base class for Contrast Limited Adaptive Histogram Equalization.
static class	opencv_imgproc.GeneralizedHough finds arbitrary template in the grayscale image using Generalized Hough Transform
static class	opencv_imgproc.GeneralizedHoughBallard Ballard, D.H.
static class	opencv_imgproc.GeneralizedHoughGuil Guil, N., González-Linares, J.M.
static class	opencv_imgproc.LineSegmentDetector \brief Line segment detector class
static class	opencv_ml.ANN_MLP \brief Artificial Neural Networks - Multi-Layer Perceptrons.
static class	opencv_ml.ANN_MLP_ANNEAL \brief Artificial Neural Networks - Multi-Layer Perceptrons.
static class	opencv_ml.Boost \brief Boosted tree classifier derived from DTrees
static class	opencv_ml.DTrees \brief The class represents a single decision tree or a collection of decision trees.
static class	opencv_ml.EM \brief The class implements the Expectation Maximization algorithm.
static class	opencv_ml.KNearest \brief The class implements K-Nearest Neighbors model
static class	opencv_ml.LogisticRegression \brief Implements Logistic Regression classifier.
static class	opencv_ml.NormalBayesClassifier \brief Bayes classifier for normally distributed data.
static class	opencv_ml.RTrees \brief The class implements the random forest predictor.
static class	opencv_ml.StatModel \brief Base class for statistical models in OpenCV ML.
static class	opencv_ml.SVM \brief Support Vector Machines.
static class	opencv_ml.SVM.Kernel
static class	opencv_ml.SVMSGD \brief Stochastic Gradient Descent SVM classifier
static class	opencv_objdetect.BaseCascadeClassifier
static class	opencv_optflow.DISOpticalFlow \brief DIS optical flow algorithm.
static class	opencv_optflow.VariationalRefinement \brief Variational optical flow refinement
static class	opencv_phase_unwrapping.HistogramPhaseUnwrapping \addtogroup phase_unwrapping \{
static class	opencv_phase_unwrapping.PhaseUnwrapping \addtogroup phase_unwrapping \{
static class	opencv_photo.AlignExposures \brief The base class for algorithms that align images of the same scene with different exposures
static class	opencv_photo.AlignMTB \brief This algorithm converts images to median threshold bitmaps (1 for pixels brighter than median luminance and 0 otherwise) and than aligns the resulting bitmaps using bit operations.
static class	opencv_photo.CalibrateCRF \brief The base class for camera response calibration algorithms.
static class	opencv_photo.CalibrateDebevec \brief Inverse camera response function is extracted for each brightness value by minimizing an objective function as linear system.
static class	opencv_photo.CalibrateRobertson \brief Inverse camera response function is extracted for each brightness value by minimizing an objective function as linear system.
static class	opencv_photo.MergeDebevec \brief The resulting HDR image is calculated as weighted average of the exposures considering exposure values and camera response.
static class	opencv_photo.MergeExposures \brief The base class algorithms that can merge exposure sequence to a single image.
static class	opencv_photo.MergeMertens \brief Pixels are weighted using contrast, saturation and well-exposedness measures, than images are combined using laplacian pyramids.
static class	opencv_photo.MergeRobertson \brief The resulting HDR image is calculated as weighted average of the exposures considering exposure values and camera response.
static class	opencv_photo.Tonemap \brief Base class for tonemapping algorithms - tools that are used to map HDR image to 8-bit range.
static class	opencv_photo.TonemapDrago \brief Adaptive logarithmic mapping is a fast global tonemapping algorithm that scales the image in logarithmic domain.
static class	opencv_photo.TonemapDurand \brief This algorithm decomposes image into two layers: base layer and detail layer using bilateral filter and compresses contrast of the base layer thus preserving all the details.
static class	opencv_photo.TonemapMantiuk \brief This algorithm transforms image to contrast using gradients on all levels of gaussian pyramid, transforms contrast values to HVS response and scales the response.
static class	opencv_photo.TonemapReinhard \brief This is a global tonemapping operator that models human visual system.
static class	opencv_plot.Plot2d \addtogroup plot \{
static class	opencv_saliency.MotionSaliency Motion Saliency Base Class
static class	opencv_saliency.MotionSaliencyBinWangApr2014 \brief the Fast Self-tuning Background Subtraction Algorithm from \cite BinWangApr2014
static class	opencv_saliency.Objectness Objectness Base Class
static class	opencv_saliency.ObjectnessBING \brief the Binarized normed gradients algorithm from \cite BING
static class	opencv_saliency.Saliency \addtogroup saliency \{
static class	opencv_saliency.StaticSaliency Static Saliency Base Class
static class	opencv_saliency.StaticSaliencyFineGrained \brief the Fine Grained Saliency approach from \cite FGS
static class	opencv_saliency.StaticSaliencySpectralResidual \brief the Spectral Residual approach from \cite SR
static class	opencv_shape.AffineTransformer \brief Wrapper class for the OpenCV Affine Transformation algorithm.
static class	opencv_shape.ChiHistogramCostExtractor \brief An Chi based cost extraction.
static class	opencv_shape.EMDHistogramCostExtractor \brief An EMD based cost extraction.
static class	opencv_shape.EMDL1HistogramCostExtractor \brief An EMD-L1 based cost extraction.
static class	opencv_shape.HausdorffDistanceExtractor \brief A simple Hausdorff distance measure between shapes defined by contours
static class	opencv_shape.HistogramCostExtractor \addtogroup shape \{
static class	opencv_shape.NormHistogramCostExtractor \brief A norm based cost extraction.
static class	opencv_shape.ShapeContextDistanceExtractor \brief Implementation of the Shape Context descriptor and matching algorithm
static class	opencv_shape.ShapeDistanceExtractor \brief Abstract base class for shape distance algorithms.
static class	opencv_shape.ShapeTransformer \addtogroup shape \{
static class	opencv_shape.ThinPlateSplineShapeTransformer \brief Definition of the transformation
static class	opencv_structured_light.GrayCodePattern \addtogroup structured_light \{
static class	opencv_structured_light.SinusoidalPattern \brief Class implementing Fourier transform profilometry (FTP) , phase-shifting profilometry (PSP) and Fourier-assisted phase-shifting profilometry (FAPS) based on \cite faps.
static class	opencv_structured_light.StructuredLightPattern \brief Abstract base class for generating and decoding structured light patterns.
static class	opencv_superres.BroxOpticalFlow
static class	opencv_superres.DenseOpticalFlowExt \addtogroup superres \{
static class	opencv_superres.PyrLKOpticalFlow
static class	opencv_superres.SuperResDualTVL1OpticalFlow
static class	opencv_superres.SuperResFarnebackOpticalFlow
static class	opencv_superres.SuperResolution \brief Base class for Super Resolution algorithms.
static class	opencv_text.ERFilter \brief Base class for 1st and 2nd stages of Neumann and Matas scene text detection algorithm \cite Neumann12.
static class	opencv_tracking.MultiTracker \brief This class is used to track multiple objects using the specified tracker algorithm.
static class	opencv_tracking.Tracker \brief Base abstract class for the long-term tracker:
static class	opencv_tracking.TrackerBoosting \brief This is a real-time object tracking based on a novel on-line version of the AdaBoost algorithm.
static class	opencv_tracking.TrackerCSRT \brief Discriminative Correlation Filter Tracker with Channel and Spatial Reliability
static class	opencv_tracking.TrackerGOTURN \brief GOTURN (\cite GOTURN) is kind of trackers based on Convolutional Neural Networks (CNN).
static class	opencv_tracking.TrackerKCF \brief KCF is a novel tracking framework that utilizes properties of circulant matrix to enhance the processing speed.
static class	opencv_tracking.TrackerMedianFlow \brief Median Flow tracker implementation.
static class	opencv_tracking.TrackerMIL \brief The MIL algorithm trains a classifier in an online manner to separate the object from the background.
static class	opencv_tracking.TrackerMOSSE \brief the MOSSE tracker note, that this tracker works with grayscale images, if passed bgr ones, they will get converted internally.
static class	opencv_tracking.TrackerTLD \brief TLD is a novel tracking framework that explicitly decomposes the long-term tracking task into tracking, learning and detection.
static class	opencv_video.BackgroundSubtractor \addtogroup video_motion \{
static class	opencv_video.BackgroundSubtractorKNN \brief K-nearest neighbours - based Background/Foreground Segmentation Algorithm.
static class	opencv_video.BackgroundSubtractorMOG2 \brief Gaussian Mixture-based Background/Foreground Segmentation Algorithm.
static class	opencv_video.DenseOpticalFlow
static class	opencv_video.DualTVL1OpticalFlow \brief "Dual TV L1" Optical Flow Algorithm.
static class	opencv_video.FarnebackOpticalFlow \brief Class computing a dense optical flow using the Gunnar Farneback's algorithm.
static class	opencv_video.SparseOpticalFlow \brief Base interface for sparse optical flow algorithms.
static class	opencv_video.SparsePyrLKOpticalFlow \brief Class used for calculating a sparse optical flow.
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.PCTSignatures \brief Class implementing PCT (position-color-texture) signature extraction as described in \cite KrulisLS16.
static class	opencv_xfeatures2d.PCTSignaturesSQFD \brief Class implementing Signature Quadratic Form Distance (SQFD).
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.
static class	opencv_ximgproc.AdaptiveManifoldFilter \brief Interface for Adaptive Manifold Filter realizations.
static class	opencv_ximgproc.DisparityFilter \addtogroup ximgproc_filters \{
static class	opencv_ximgproc.DisparityWLSFilter \brief Disparity map filter based on Weighted Least Squares filter (in form of Fast Global Smoother that is a lot faster than traditional Weighted Least Squares filter implementations) and optional use of left-right-consistency-based confidence to refine the results in half-occlusions and uniform areas.
static class	opencv_ximgproc.DTFilter \brief Interface for realizations of Domain Transform filter.
static class	opencv_ximgproc.EdgeAwareInterpolator \brief Sparse match interpolation algorithm based on modified locally-weighted affine estimator from \cite Revaud2015 and Fast Global Smoother as post-processing filter.
static class	opencv_ximgproc.FastGlobalSmootherFilter \brief Interface for implementations of Fast Global Smoother filter.
static class	opencv_ximgproc.GraphSegmentation \addtogroup ximgproc_segmentation \{
static class	opencv_ximgproc.GuidedFilter \brief Interface for realizations of Guided Filter.
static class	opencv_ximgproc.RFFeatureGetter \addtogroup ximgproc_edge \{
static class	opencv_ximgproc.SelectiveSearchSegmentation \brief Selective search segmentation algorithm The class implements the algorithm described in \cite uijlings2013selective.
static class	opencv_ximgproc.SelectiveSearchSegmentationStrategy \brief Strategie for the selective search segmentation algorithm The class implements a generic stragery for the algorithm described in \cite uijlings2013selective.
static class	opencv_ximgproc.SelectiveSearchSegmentationStrategyColor \brief Color-based strategy for the selective search segmentation algorithm The class is implemented from the algorithm described in \cite uijlings2013selective.
static class	opencv_ximgproc.SelectiveSearchSegmentationStrategyFill \brief Fill-based strategy for the selective search segmentation algorithm The class is implemented from the algorithm described in \cite uijlings2013selective.
static class	opencv_ximgproc.SelectiveSearchSegmentationStrategyMultiple \brief Regroup multiple strategies for the selective search segmentation algorithm
static class	opencv_ximgproc.SelectiveSearchSegmentationStrategySize \brief Size-based strategy for the selective search segmentation algorithm The class is implemented from the algorithm described in \cite uijlings2013selective.
static class	opencv_ximgproc.SelectiveSearchSegmentationStrategyTexture \brief Texture-based strategy for the selective search segmentation algorithm The class is implemented from the algorithm described in \cite uijlings2013selective.
static class	opencv_ximgproc.SparseMatchInterpolator \addtogroup ximgproc_filters \{
static class	opencv_ximgproc.StructuredEdgeDetection \brief Class implementing edge detection algorithm from \cite Dollar2013 :
static class	opencv_ximgproc.SuperpixelLSC \addtogroup ximgproc_superpixel \{
static class	opencv_ximgproc.SuperpixelSEEDS \addtogroup ximgproc_superpixel \{
static class	opencv_ximgproc.SuperpixelSLIC \brief Class implementing the SLIC (Simple Linear Iterative Clustering) superpixels algorithm described in \cite Achanta2012.
static class	opencv_xphoto.GrayworldWB \brief Gray-world white balance algorithm
static class	opencv_xphoto.LearningBasedWB \brief More sophisticated learning-based automatic white balance algorithm.
static class	opencv_xphoto.SimpleWB \brief A simple white balance algorithm that works by independently stretching each of the input image channels to the specified range.
static class	opencv_xphoto.WhiteBalancer \addtogroup xphoto \{

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

Modifier and Type	Method and Description
opencv_core.Algorithm	opencv_core.Algorithm.position(long position)

Uses of opencv_core.Algorithm in org.bytedeco.javacpp.helper

Subclasses of opencv_core.Algorithm in org.bytedeco.javacpp.helper

Modifier and Type	Class and Description
static class	opencv_ml.AbstractStatModel