| Имя | Описание |
|---|---|
| AKAZE | Class implementing the AKAZE keypoint detector and descriptor extractor, described in @cite ANB13 |
| AgastFeatureDetector | Detects corners using the AGAST algorithm |
| Algorithm | Base class for high-level OpenCV algorithms |
| BFMatcher | Brute-force descriptor matcher. For each descriptor in the first set, this matcher finds the closest descriptor in the second set by trying each one. |
| BOWImgDescriptorExtractor | Brute-force descriptor matcher. For each descriptor in the first set, this matcher finds the closest descriptor in the second set by trying each one. |
| BOWKMeansTrainer | Brute-force descriptor matcher. For each descriptor in the first set, this matcher finds the closest descriptor in the second set by trying each one. |
| BOWTrainer | Brute-force descriptor matcher. For each descriptor in the first set, this matcher finds the closest descriptor in the second set by trying each one. |
| BRISK | BRISK implementation |
| BackgroundSubtractor | The Base Class for Background/Foreground Segmentation. The class is only used to define the common interface for the whole family of background/foreground segmentation algorithms. |
| CLAHE | Contrast Limited Adaptive Histogram Equalization |
| CalibrateCRF | The base class for camera response calibration algorithms. |
| CascadeClassifier | Cascade classifier class for object detection. |
| ConnectedComponents | connected components that is returned from Cv2.ConnectedComponentsEx |
| ConnectedComponents.Blob | One blob |
| Cv2 | OpenCV Functions of C++ I/F (cv::xxx) |
| DenseOpticalFlowExtImpl | |
| DenseOpticalFlowImpl | |
| DescriptorMatcher | |
| DetectionROI | struct for detection region of interest (ROI) |
| DisposableObject | Represents a class which manages its own memory. |
| EM | The class implements the Expectation Maximization algorithm. |
| FastFeatureDetector | Detects corners using FAST algorithm by E. Rosten |
| Feature2D | Abstract base class for 2D image feature detectors and descriptor extractors |
| FileNode | File Storage Node class |
| FileStorage | XML/YAML File Storage Class. |
| FlannBasedMatcher | Brute-force descriptor matcher. For each descriptor in the first set, this matcher finds the closest descriptor in the second set by trying each one. |
| FourCCCalcurator | Managed wrapper of all OpenCV functions |
| FrameSource | |
| FrameSourceImpl | |
| GFTTDetector | Good Features To Track Detector |
| GeneralizedHough | finds arbitrary template in the grayscale image using Generalized Hough Transform |
| HOGDescriptor | HOG (Histogram-of-Oriented-Gradients) Descriptor and Object Detector |
| KAZE | Class implementing the KAZE keypoint detector and descriptor extractor |
| KalmanFilter | Kalman filter. The class implements standard Kalman filter \url{http://en.wikipedia.org/wiki/Kalman_filter}. However, you can modify KalmanFilter::transitionMatrix, KalmanFilter::controlMatrix and KalmanFilter::measurementMatrix to get the extended Kalman filter functionality. |
| KeyPointsFilter | A class filters a vector of keypoints. |
| LatentSvmDetector | Find rectangular regions in the given image that are likely to contain objects and corresponding confidence levels |
| LatentSvmDetector.ObjectDetection | Structure contains the detection information. |
| LineSegmentDetector | Line segment detector class |
| MSER | Maximal Stable Extremal Regions class |
| MatExpr | |
| MatExpr.ColIndexer | |
| MatExpr.RowIndexer | |
| Moments | Raster image moments |
| Moments.NativeStruct | |
| NativeMethods | |
| ORB | Class implementing the ORB (*oriented BRIEF*) keypoint detector and descriptor extractor |
| OpenCVException | The default exception to be thrown by OpenCV |
| OpenCvSharpException | The exception that is thrown by OpenCvSharp. |
| OutputArrayOfMatList | Proxy datatype for passing Mat's and List<>'s as output parameters |
| PCA | Principal Component Analysis |
| RNG | Random Number Generator. The class implements RNG using Multiply-with-Carry algorithm. |
| RNG_MT19937 | Mersenne Twister random number generator |
| RNG_MT19937.PeriodParameters | |
| SVD | Singular Value Decomposition class |
| ShapeContextDistanceExtractor | Implementation of the Shape Context descriptor and matching algorithm |
| ShapeDistanceExtractor | Abstract base class for shape distance algorithms. |
| SimpleBlobDetector | Class for extracting blobs from an image. |
| SimpleBlobDetector.Params | SimpleBlobDetector parameters |
| SimpleBlobDetector.WParams | |
| Stitcher | High level image stitcher. It's possible to use this class without being aware of the entire stitching pipeline. However, to be able to achieve higher stitching stability and quality of the final images at least being familiar with the theory is recommended |
| Subdiv2D | |
| SuperResolutionImpl | class for defined Super Resolution algorithm. |
| VideoCapture | Video capturing class |
| VideoCapture.IntBytes | |
| VideoWriter | AVI Video File Writer |
| Window | Wrapper of HighGUI window |