🤖 AIによる機械翻訳（非公式） — これは OpenCV 4.13.0 公式リファレンス（英語）を AI (Claude) で自動翻訳したものです。訳に誤りを含む場合があります。正確な情報は 公式英語版（原文） を参照してください。

全クラス

Class	Description
AdaptiveManifoldFilter	Interface for Adaptive Manifold Filter realizations.
AffineFeature	Class for implementing the wrapper which makes detectors and extractors to be affine invariant, described as ASIFT in CITE: YM11 .
AffineFeature2D	Class implementing affine adaptation for key points.
AgastFeatureDetector	Wrapping class for feature detection using the AGAST method.
AKAZE	Class implementing the AKAZE keypoint detector and descriptor extractor, described in CITE: ANB13.
Algorithm	This is a base class for all more or less complex algorithms in OpenCV especially for classes of algorithms, for which there can be multiple implementations.
AlignExposures	The base class for algorithms that align images of the same scene with different exposures
AlignMTB	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.
Animation	Represents an animation with multiple frames.
ANN_MLP	Artificial Neural Networks - Multi-Layer Perceptrons.
Aruco
ArucoDetector	The main functionality of ArucoDetector class is detection of markers in an image with detectMarkers() method.
AverageHash	Computes average hash value of the input image This is a fast image hashing algorithm, but only work on simple case.
BackgroundSubtractor	Base class for background/foreground segmentation.
BackgroundSubtractorCNT	Background subtraction based on counting.
BackgroundSubtractorGMG	Background Subtractor module based on the algorithm given in CITE: Gold2012 .
BackgroundSubtractorGSOC	Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper.
BackgroundSubtractorKNN	K-nearest neighbours - based Background/Foreground Segmentation Algorithm.
BackgroundSubtractorLSBP	Background Subtraction using Local SVD Binary Pattern.
BackgroundSubtractorLSBPDesc	This is for calculation of the LSBP descriptors.
BackgroundSubtractorMOG	Gaussian Mixture-based Background/Foreground Segmentation Algorithm.
BackgroundSubtractorMOG2	Gaussian Mixture-based Background/Foreground Segmentation Algorithm.
BarcodeDetector
BaseCascadeClassifier
BaseOCR
BasicFaceRecognizer
BEBLID	Class implementing BEBLID (Boosted Efficient Binary Local Image Descriptor), described in CITE: Suarez2020BEBLID .
BFMatcher	Brute-force descriptor matcher.
Bgsegm
BIF	Implementation of bio-inspired features (BIF) from the paper: Guo, Guodong, et al.
Bioinspired
BlockMeanHash	Image hash based on block mean.
Board	Board of ArUco markers A board is a set of markers in the 3D space with a common coordinate system.
Boost	Boosted tree classifier derived from DTrees SEE: REF: ml_intro_boost
BoostDesc	Class implementing BoostDesc (Learning Image Descriptors with Boosting), described in CITE: Trzcinski13a and CITE: Trzcinski13b.
BOWImgDescriptorExtractor	Class to compute an image descriptor using the *bag of visual words*.
BOWKMeansTrainer	kmeans -based class to train visual vocabulary using the *bag of visual words* approach.
BOWTrainer	Abstract base class for training the *bag of visual words* vocabulary from a set of descriptors.
BriefDescriptorExtractor	Class for computing BRIEF descriptors described in CITE: calon2010 .
BRISK	Class implementing the BRISK keypoint detector and descriptor extractor, described in CITE: LCS11 .
Calib3d
CalibrateCRF	The base class for camera response calibration algorithms.
CalibrateDebevec	Inverse camera response function is extracted for each brightness value by minimizing an objective function as linear system.
CalibrateRobertson	Inverse camera response function is extracted for each brightness value by minimizing an objective function as linear system.
CascadeClassifier	Cascade classifier class for object detection.
CharucoBoard	ChArUco board is a planar chessboard where the markers are placed inside the white squares of a chessboard.
CharucoDetector
CharucoParameters
CLAHE	Base class for Contrast Limited Adaptive Histogram Equalization.
ClassificationModel	This class represents high-level API for classification models.
CleanableMat
ColorMomentHash	Image hash based on color moments.
ContourFitting	Class for ContourFitting algorithms.
Converters
Core
Core.MinMaxLocResult
CvException
CvType
DAISY	Class implementing DAISY descriptor, described in CITE: Tola10 radius radius of the descriptor at the initial scale q_radius amount of radial range division quantity q_theta amount of angular range division quantity q_hist amount of gradient orientations range division quantity norm choose descriptors normalization type, where DAISY::NRM_NONE will not do any normalization (default), DAISY::NRM_PARTIAL mean that histograms are normalized independently for L2 norm equal to 1.0, DAISY::NRM_FULL mean that descriptors are normalized for L2 norm equal to 1.0, DAISY::NRM_SIFT mean that descriptors are normalized for L2 norm equal to 1.0 but no individual one is bigger than 0.154 as in SIFT H optional 3x3 homography matrix used to warp the grid of daisy but sampling keypoints remains unwarped on image interpolation switch to disable interpolation for speed improvement at minor quality loss use_orientation sample patterns using keypoints orientation, disabled by default.
DenseOpticalFlow	Base class for dense optical flow algorithms
DescriptorMatcher	Abstract base class for matching keypoint descriptors.
DetectionModel	This class represents high-level API for object detection networks.
DetectorParameters	struct DetectorParameters is used by ArucoDetector
Dictionary	Dictionary is a set of unique ArUco markers of the same size bytesList storing as 2-dimensions Mat with 4-th channels (CV_8UC4 type was used) and contains the marker codewords where: - bytesList.rows is the dictionary size - each marker is encoded using nbytes = ceil(markerSize*markerSize/8.) bytes - each row contains all 4 rotations of the marker, so its length is 4*nbytes - the byte order in the bytesList[i] row: //bytes without rotation/bytes with rotation 1/bytes with rotation 2/bytes with rotation 3// So bytesList.ptr(i)[k*nbytes + j] is the j-th byte of i-th marker, in its k-th rotation.
DictValue	This struct stores the scalar value (or array) of one of the following type: double, cv::String or int64.
DISOpticalFlow	DIS optical flow algorithm.
DisparityFilter	Main interface for all disparity map filters.
DisparityWLSFilter	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.
DMatch	Structure for matching: query descriptor index, train descriptor index, train image index and distance between descriptors.
Dnn
Dnn_superres
DnnSuperResImpl	A class to upscale images via convolutional neural networks.
DTFilter	Interface for realizations of Domain Transform filter.
DTrees	The class represents a single decision tree or a collection of decision trees.
EdgeAwareInterpolator	Sparse match interpolation algorithm based on modified locally-weighted affine estimator from CITE: Revaud2015 and Fast Global Smoother as post-processing filter.
EdgeBoxes	Class implementing EdgeBoxes algorithm from CITE: ZitnickECCV14edgeBoxes :
EdgeDrawing	Class implementing the ED (EdgeDrawing) CITE: topal2012edge, EDLines CITE: akinlar2011edlines, EDPF CITE: akinlar2012edpf, EDCircles CITE: akinlar2013edcircles and ColorED CITE: akinlar201782 algorithms.
EdgeDrawing_Params
EigenFaceRecognizer
EM	The class implements the Expectation Maximization algorithm.
ERFilter	Base class for 1st and 2nd stages of Neumann and Matas scene text detection algorithm CITE: Neumann12.
ERFilter_Callback	Callback with the classifier is made a class.
EstimateParameters	Deprecated. Use Board::matchImagePoints and cv::solvePnP SEE: PatternPositionType, solvePnP()
Face
FaceDetectorYN	DNN-based face detector model download link: https://github.com/opencv/opencv_zoo/tree/master/models/face_detection_yunet
Facemark	Abstract base class for all facemark models To utilize this API in your program, please take a look at the REF: tutorial_table_of_content_facemark ### Description Facemark is a base class which provides universal access to any specific facemark algorithm.
FacemarkAAM
FacemarkKazemi
FacemarkLBF
FacemarkTrain	Abstract base class for trainable facemark models To utilize this API in your program, please take a look at the REF: tutorial_table_of_content_facemark ### Description The AAM and LBF facemark models in OpenCV are derived from the abstract base class FacemarkTrain, which provides a unified access to those facemark algorithms in OpenCV.
FaceRecognizer	Abstract base class for all face recognition models All face recognition models in OpenCV are derived from the abstract base class FaceRecognizer, which provides a unified access to all face recongition algorithms in OpenCV.
FaceRecognizerSF	DNN-based face recognizer model download link: https://github.com/opencv/opencv_zoo/tree/master/models/face_recognition_sface
FarnebackOpticalFlow	Class computing a dense optical flow using the Gunnar Farneback's algorithm.
FastBilateralSolverFilter	Interface for implementations of Fast Bilateral Solver.
FastFeatureDetector	Wrapping class for feature detection using the FAST method.
FastGlobalSmootherFilter	Interface for implementations of Fast Global Smoother filter.
FastLineDetector	Class implementing the FLD (Fast Line Detector) algorithm described in CITE: Lee14 .
Feature2D	Abstract base class for 2D image feature detectors and descriptor extractors
Features2d
FisherFaceRecognizer
FlannBasedMatcher	Flann-based descriptor matcher.
FREAK	Class implementing the FREAK (*Fast Retina Keypoint*) keypoint descriptor, described in CITE: AOV12 .
GeneralizedHough	finds arbitrary template in the grayscale image using Generalized Hough Transform
GeneralizedHoughBallard	finds arbitrary template in the grayscale image using Generalized Hough Transform Detects position only without translation and rotation CITE: Ballard1981 .
GeneralizedHoughGuil	finds arbitrary template in the grayscale image using Generalized Hough Transform Detects position, translation and rotation CITE: Guil1999 .
GFTTDetector	Wrapping class for feature detection using the goodFeaturesToTrack function.
GraphicalCodeDetector
GraphSegmentation	Graph Based Segmentation Algorithm.
GrayCodePattern	Class implementing the Gray-code pattern, based on CITE: UNDERWORLD.
GrayworldWB	Gray-world white balance algorithm This algorithm scales the values of pixels based on a gray-world assumption which states that the average of all channels should result in a gray image.
GridBoard	Planar board with grid arrangement of markers More common type of board.
GuidedFilter	Interface for realizations of (Fast) Guided Filter.
HarrisLaplaceFeatureDetector	Class implementing the Harris-Laplace feature detector as described in CITE: Mikolajczyk2004.
HighGui	This class was designed for use in Java applications to recreate the OpenCV HighGui functionalities.
HistogramPhaseUnwrapping	Class implementing two-dimensional phase unwrapping based on CITE: histogramUnwrapping This algorithm belongs to the quality-guided phase unwrapping methods.
HistogramPhaseUnwrapping_Params	Parameters of phaseUnwrapping constructor.
HOGDescriptor	Implementation of HOG (Histogram of Oriented Gradients) descriptor and object detector.
Image2BlobParams	Processing params of image to blob.
ImageWindow	This class was designed to create and manipulate the Windows to be used by the HighGui class.
Img_hash
Imgcodecs
ImgHashBase	The base class for image hash algorithms
Imgproc
IntelligentScissorsMB	Intelligent Scissors image segmentation This class is used to find the path (contour) between two points which can be used for image segmentation.
IStreamReader	Read data stream interface
KalmanFilter	Kalman filter class.
KAZE	Class implementing the KAZE keypoint detector and descriptor extractor, described in CITE: ABD12 .
KeyPoint
KeypointsModel	This class represents high-level API for keypoints models KeypointsModel allows to set params for preprocessing input image.
KNearest	The class implements K-Nearest Neighbors model SEE: REF: ml_intro_knn
LATCH	latch Class for computing the LATCH descriptor.
Layer	This interface class allows to build new Layers - are building blocks of networks.
LBPHFaceRecognizer
LearningBasedWB	More sophisticated learning-based automatic white balance algorithm.
legacy_MultiTracker	This class is used to track multiple objects using the specified tracker algorithm.
legacy_Tracker	Base abstract class for the long-term tracker:
legacy_TrackerBoosting	the Boosting tracker This is a real-time object tracking based on a novel on-line version of the AdaBoost algorithm.
legacy_TrackerCSRT	the CSRT tracker The implementation is based on CITE: Lukezic_IJCV2018 Discriminative Correlation Filter with Channel and Spatial Reliability
legacy_TrackerKCF	the KCF (Kernelized Correlation Filter) tracker KCF is a novel tracking framework that utilizes properties of circulant matrix to enhance the processing speed.
legacy_TrackerMedianFlow	the Median Flow tracker Implementation of a paper CITE: MedianFlow .
legacy_TrackerMIL	The MIL algorithm trains a classifier in an online manner to separate the object from the background.
legacy_TrackerMOSSE	the MOSSE (Minimum Output Sum of Squared %Error) tracker The implementation is based on CITE: MOSSE Visual Object Tracking using Adaptive Correlation Filters 覚え書き: this tracker works with grayscale images, if passed bgr ones, they will get converted internally.
legacy_TrackerTLD	the TLD (Tracking, learning and detection) tracker TLD is a novel tracking framework that explicitly decomposes the long-term tracking task into tracking, learning and detection.
LineSegmentDetector	Line segment detector class following the algorithm described at CITE: Rafael12 .
LogisticRegression	Implements Logistic Regression classifier.
LUCID	Class implementing the locally uniform comparison image descriptor, described in CITE: LUCID An image descriptor that can be computed very fast, while being about as robust as, for example, SURF or BRIEF.
MACE	Minimum Average Correlation Energy Filter useful for authentication with (cancellable) biometrical features.
MarrHildrethHash	Marr-Hildreth Operator Based Hash, slowest but more discriminative.
Mat
Mat.Atable<T>
Mat.Tuple2<T>
Mat.Tuple3<T>
Mat.Tuple4<T>
MatOfByte
MatOfDMatch
MatOfDouble
MatOfFloat
MatOfFloat4
MatOfFloat6
MatOfInt
MatOfInt4
MatOfKeyPoint
MatOfPoint
MatOfPoint2f
MatOfPoint3
MatOfPoint3f
MatOfRect
MatOfRect2d
MatOfRotatedRect
MergeDebevec	The resulting HDR image is calculated as weighted average of the exposures considering exposure values and camera response.
MergeExposures	The base class algorithms that can merge exposure sequence to a single image.
MergeMertens	Pixels are weighted using contrast, saturation and well-exposedness measures, than images are combined using laplacian pyramids.
MergeRobertson	The resulting HDR image is calculated as weighted average of the exposures considering exposure values and camera response.
Ml
Model	This class is presented high-level API for neural networks.
Moments
MotionSaliency	******************************* Motion Saliency Base Class *********************************
MotionSaliencyBinWangApr2014	the Fast Self-tuning Background Subtraction Algorithm from CITE: BinWangApr2014
MSDDetector	Class implementing the MSD (*Maximal Self-Dissimilarity*) keypoint detector, described in CITE: Tombari14.
MSER	Maximally stable extremal region extractor The class encapsulates all the parameters of the %MSER extraction algorithm (see [wiki article](http://en.wikipedia.org/wiki/Maximally_stable_extremal_regions)).
Net	This class allows to create and manipulate comprehensive artificial neural networks.
NormalBayesClassifier	Bayes classifier for normally distributed data.
Objdetect
Objectness	******************************* Objectness Base Class *********************************
ObjectnessBING	the Binarized normed gradients algorithm from CITE: BING
OCRBeamSearchDecoder	OCRBeamSearchDecoder class provides an interface for OCR using Beam Search algorithm.
OCRBeamSearchDecoder_ClassifierCallback	Callback with the character classifier is made a class.
OCRHMMDecoder	OCRHMMDecoder class provides an interface for OCR using Hidden Markov Models.
OCRHMMDecoder_ClassifierCallback	Callback with the character classifier is made a class.
OCRTesseract	OCRTesseract class provides an interface with the tesseract-ocr API (v3.02.02) in C++.
OpenCVInterface	Dummy interface to allow some integration testing within OSGi implementation.
OpenCVNativeLoader	This class is intended to provide a convenient way to load OpenCV's native library from the Java bundle.
ORB	Class implementing the ORB (*oriented BRIEF*) keypoint detector and descriptor extractor described in CITE: RRKB11 .
ParamGrid	The structure represents the logarithmic grid range of statmodel parameters.
PCTSignatures	Class implementing PCT (position-color-texture) signature extraction as described in CITE: KrulisLS16.
PCTSignaturesSQFD	Class implementing Signature Quadratic Form Distance (SQFD).
Phase_unwrapping
PhaseUnwrapping	Abstract base class for phase unwrapping.
PHash	pHash Slower than average_hash, but tolerant of minor modifications This algorithm can combat more variation than averageHash, for more details please refer to CITE: lookslikeit
Photo
Plot
Plot2d	plot Plot function for Mat data
Point
Point3
PredictCollector	Abstract base class for all strategies of prediction result handling
QRCodeDetector
QRCodeDetectorAruco
QRCodeDetectorAruco_Params
QRCodeEncoder	Groups the object candidate rectangles.
QRCodeEncoder_Params	QR code encoder parameters.
RadialVarianceHash	Image hash based on Radon transform.
Range
Rect
Rect2d
RefineParameters	struct RefineParameters is used by ArucoDetector
Retina	class which allows the Gipsa/Listic Labs model to be used with OpenCV.
RetinaFastToneMapping	a wrapper class which allows the tone mapping algorithm of Meylan&al(2007) to be used with OpenCV.
RFFeatureGetter	Jun 17, 2014
RICInterpolator	Sparse match interpolation algorithm based on modified piecewise locally-weighted affine estimator called Robust Interpolation method of Correspondences or RIC from CITE: Hu2017 and Variational and Fast Global Smoother as post-processing filter.
RidgeDetectionFilter	Applies Ridge Detection Filter to an input image.
RotatedRect
RTrees	The class implements the random forest predictor.
Saliency	******************************* Saliency Base Class *********************************
Scalar
ScanSegment	Class implementing the F-DBSCAN (Accelerated superpixel image segmentation with a parallelized DBSCAN algorithm) superpixels algorithm by Loke SC, et al.
SegmentationModel	This class represents high-level API for segmentation models SegmentationModel allows to set params for preprocessing input image.
SelectiveSearchSegmentation	Selective search segmentation algorithm The class implements the algorithm described in CITE: uijlings2013selective.
SelectiveSearchSegmentationStrategy	Strategie for the selective search segmentation algorithm The class implements a generic stragery for the algorithm described in CITE: uijlings2013selective.
SelectiveSearchSegmentationStrategyColor	Color-based strategy for the selective search segmentation algorithm The class is implemented from the algorithm described in CITE: uijlings2013selective.
SelectiveSearchSegmentationStrategyFill	Fill-based strategy for the selective search segmentation algorithm The class is implemented from the algorithm described in CITE: uijlings2013selective.
SelectiveSearchSegmentationStrategyMultiple	Regroup multiple strategies for the selective search segmentation algorithm
SelectiveSearchSegmentationStrategySize	Size-based strategy for the selective search segmentation algorithm The class is implemented from the algorithm described in CITE: uijlings2013selective.
SelectiveSearchSegmentationStrategyTexture	Texture-based strategy for the selective search segmentation algorithm The class is implemented from the algorithm described in CITE: uijlings2013selective.
SIFT	Class for extracting keypoints and computing descriptors using the Scale Invariant Feature Transform (SIFT) algorithm by D.
SimpleBlobDetector	Class for extracting blobs from an image.
SimpleBlobDetector_Params
SimpleWB	A simple white balance algorithm that works by independently stretching each of the input image channels to the specified range.
SinusoidalPattern	Class implementing Fourier transform profilometry (FTP) , phase-shifting profilometry (PSP) and Fourier-assisted phase-shifting profilometry (FAPS) based on CITE: faps.
SinusoidalPattern_Params	Parameters of SinusoidalPattern constructor width Projector's width.
Size
SparseMatchInterpolator	Main interface for all filters, that take sparse matches as an input and produce a dense per-pixel matching (optical flow) as an output.
SparseOpticalFlow	Base interface for sparse optical flow algorithms.
SparsePyrLKOpticalFlow	Class used for calculating a sparse optical flow.
StandardCollector	Default predict collector Trace minimal distance with treshhold checking (that is default behavior for most predict logic)
StarDetector	The class implements the keypoint detector introduced by CITE: Agrawal08, synonym of StarDetector.
StaticSaliency	******************************* Static Saliency Base Class *********************************
StaticSaliencyFineGrained	the Fine Grained Saliency approach from CITE: FGS This method calculates saliency based on center-surround differences.
StaticSaliencySpectralResidual	the Spectral Residual approach from CITE: SR Starting from the principle of natural image statistics, this method simulate the behavior of pre-attentive visual search.
StatModel	Base class for statistical models in OpenCV ML.
StereoBM	Class for computing stereo correspondence using the block matching algorithm, introduced and contributed to OpenCV by K.
StereoMatcher	The base class for stereo correspondence algorithms.
StereoSGBM	The class implements the modified H.
Structured_light
StructuredEdgeDetection	Class implementing edge detection algorithm from CITE: Dollar2013 :
StructuredLightPattern	Abstract base class for generating and decoding structured light patterns.
Subdiv2D
SuperpixelLSC	Class implementing the LSC (Linear Spectral Clustering) superpixels algorithm described in CITE: LiCVPR2015LSC.
SuperpixelSEEDS	Class implementing the SEEDS (Superpixels Extracted via Energy-Driven Sampling) superpixels algorithm described in CITE: VBRV14 .
SuperpixelSLIC	Class implementing the SLIC (Simple Linear Iterative Clustering) superpixels algorithm described in CITE: Achanta2012.
SURF	Class for extracting Speeded Up Robust Features from an image CITE: Bay06 .
SURF_CUDA	Class used for extracting Speeded Up Robust Features (SURF) from an image.
SVM	Support Vector Machines.
SVMSGD	*************************************************************************************\ Stochastic Gradient Descent SVM Classifier * \***************************************************************************************
SyntheticSequenceGenerator	Synthetic frame sequence generator for testing background subtraction algorithms.
TBMR	Class implementing the Tree Based Morse Regions (TBMR) as described in CITE: Najman2014 extended with scaled extraction ability.
TEBLID	Class implementing TEBLID (Triplet-based Efficient Binary Local Image Descriptor), described in CITE: Suarez2021TEBLID.
TermCriteria
Text
TextDetectionModel	Base class for text detection networks
TextDetectionModel_DB	This class represents high-level API for text detection DL networks compatible with DB model.
TextDetectionModel_EAST	This class represents high-level API for text detection DL networks compatible with EAST model.
TextDetector	An abstract class providing interface for text detection algorithms
TextDetectorCNN	TextDetectorCNN class provides the functionallity of text bounding box detection.
TextRecognitionModel	This class represents high-level API for text recognition networks.
TickMeter	a Class to measure passing time.
Tonemap	Base class for tonemapping algorithms - tools that are used to map HDR image to 8-bit range.
TonemapDrago	Adaptive logarithmic mapping is a fast global tonemapping algorithm that scales the image in logarithmic domain.
TonemapDurand	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.
TonemapMantiuk	This algorithm transforms image to contrast using gradients on all levels of gaussian pyramid, transforms contrast values to HVS response and scales the response.
TonemapReinhard	This is a global tonemapping operator that models human visual system.
Tracker	Base abstract class for the long-term tracker
TrackerCSRT	the CSRT tracker The implementation is based on CITE: Lukezic_IJCV2018 Discriminative Correlation Filter with Channel and Spatial Reliability
TrackerCSRT_Params
TrackerDaSiamRPN
TrackerDaSiamRPN_Params
TrackerGOTURN	the GOTURN (Generic Object Tracking Using Regression Networks) tracker GOTURN (CITE: GOTURN) is kind of trackers based on Convolutional Neural Networks (CNN).
TrackerGOTURN_Params
TrackerKCF	the KCF (Kernelized Correlation Filter) tracker KCF is a novel tracking framework that utilizes properties of circulant matrix to enhance the processing speed.
TrackerKCF_Params
TrackerMIL	The MIL algorithm trains a classifier in an online manner to separate the object from the background.
TrackerMIL_Params
TrackerNano	the Nano tracker is a super lightweight dnn-based general object tracking.
TrackerNano_Params
TrackerVit	the VIT tracker is a super lightweight dnn-based general object tracking.
TrackerVit_Params
Tracking
TrainData	Class encapsulating training data.
TransientAreasSegmentationModule	class which provides a transient/moving areas segmentation module perform a locally adapted segmentation by using the retina magno input data Based on Alexandre BENOIT thesis: "Le système visuel humain au secours de la vision par ordinateur" 3 spatio temporal filters are used: a first one which filters the noise and local variations of the input motion energy a second (more powerfull low pass spatial filter) which gives the neighborhood motion energy the segmentation consists in the comparison of these both outputs, if the local motion energy is higher to the neighborhood otion energy, then the area is considered as moving and is segmented a stronger third low pass filter helps decision by providing a smooth information about the "motion context" in a wider area
UsacParams
VariationalRefinement	Variational optical flow refinement This class implements variational refinement of the input flow field, i.e.
VGG	Class implementing VGG (Oxford Visual Geometry Group) descriptor trained end to end using "Descriptor Learning Using Convex Optimisation" (DLCO) aparatus described in CITE: Simonyan14.
Video
VideoCapture	Class for video capturing from video files, image sequences or cameras.
Videoio
VideoWriter	Video writer class.
Wechat_qrcode
WeChatQRCode	WeChat QRCode includes two CNN-based models: A object detection model and a super resolution model.
WhiteBalancer	The base class for auto white balance algorithms.
Xfeatures2d
Ximgproc
Xphoto