OpenCvSharp Namespace

Detects corners using the AGAST algorithm

Class implementing the AKAZE keypoint detector and descriptor extractor, described in @cite ANB13

Base class for high-level OpenCV algorithms

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.

Background Subtractor module. Takes a series of images and returns a sequence of mask (8UC1) images of the same size, where 255 indicates Foreground and 0 represents Background.

K nearest neigbours algorithm

Gaussian Mixture-based Backbround/Foreground Segmentation Algorithm

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.

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.

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.

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.

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 implementation

The base class for camera response calibration algorithms.

The base class for camera response calibration algorithms.

Cascade classifier class for object detection.

Contrast Limited Adaptive Histogram Equalization

connected components that is returned from Cv2.ConnectedComponentsEx

One blob

OpenCV Functions of C++ I/F (cv::xxx)

A class which has a pointer of OpenCV structure

Trackbar that is shown on CvWindow

struct for detection region of interest (ROI)

DisposableObject + ICvPtrHolder

Represents a class which manages its own memory.

The class implements the Expectation Maximization algorithm.

Detects corners using FAST algorithm by E. Rosten

Abstract base class for 2D image feature detectors and descriptor extractors

File Storage Node class

File Storage Node class

XML/YAML File Storage Class.

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.

Managed wrapper of all OpenCV functions

finds arbitrary template in the grayscale image using Generalized Hough Transform

Ballard, D.H. (1981). Generalizing the Hough transform to detect arbitrary shapes. Pattern Recognition 13 (2): 111-122. Detects position only without traslation and rotation

Guil, N., González-Linares, J.M. and Zapata, E.L. (1999). Bidimensional shape detection using an invariant approach. Pattern Recognition 32 (6): 1025-1038. Detects position, traslation and rotation

Good Features To Track Detector

A simple Hausdorff distance measure between shapes defined by contours

Information about the image topology for cv::findContours

HOG (Histogram-of-Oriented-Gradients) Descriptor and Object Detector

The format-specific save parameters for cv::imwrite and cv::imencode

Proxy datatype for passing Mat's and vector<>'s as input parameters

Proxy datatype for passing Mat's and vector<>'s as input parameters. Synonym for OutputArray.

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.

Class implementing the KAZE keypoint detector and descriptor extractor

A class filters a vector of keypoints.

Find rectangular regions in the given image that are likely to contain objects and corresponding confidence levels

Structure contains the detection information.

Linear Discriminant Analysis

2-dimentional line vector

A 3-dimensional line object

Contrast Limited Adaptive Histogram Equalization

LineIterator pixel data

Line segment detector class

OpenCV C++ n-dimensional dense array class (cv::Mat)

Mat column's indexer object

Mat column's indexer object

Mat Indexer

Mat row's indexer object

Mat row's indexer object

Type-specific abstract matrix

Matrix expression

Abstract definition of Mat indexer

A matrix whose element is 8UC1 (cv::Mat_<uchar>)

Matrix indexer

A matrix whose element is 8UC3 (cv::Mat_<cv::Vec3b>)

Matrix indexer

A matrix whose element is cv::DMatch (cv::Mat_<cv::Vec4f>)

Matrix indexer

A matrix whose element is 64FC1 (cv::Mat_<double>)

Matrix indexer

A matrix whose element is cv::Vec3d [CV_64FC3] (cv::Mat_<cv::Vec3d>)

Matrix indexer

A matrix whose element is 32FC1 (cv::Mat_<float>)

Matrix indexer

A matrix whose element is 32FC4 (cv::Mat_<cv::Vec4f>)

Matrix indexer

A matrix whose element is 32FC6 (cv::Mat_<cv::Vec6f>)

Matrix indexer

A matrix whose element is 32SC1 (cv::Mat_<int>)

Matrix indexer

A matrix whose element is 32SC1 (cv::Mat_<int>)

Matrix indexer

A matrix whose element is cv::Point [CV_32SC2] (cv::Mat_<cv::Point>)

A matrix whose element is cv::Point [CV_64FC2] (cv::Mat_<cv::Point2d>)

Matrix indexer

A matrix whose element is cv::Point [CV_32FC2] (cv::Mat_<cv::Point2f>)

Matrix indexer

A matrix whose element is cv::Point3d [CV_64FC3] (cv::Mat_<cv::Point3d>)

A matrix whose element is cv::Point3f [CV_32FC3] (cv::Mat_<cv::Point3f>)

A matrix whose element is cv::Point3i [CV_32SC3] (cv::Mat_<cv::Point3i>)

A matrix whose element is cv::Rect [CV_32SC4] (cv::Mat_<cv::Rect>)

A matrix whose element is 16SC1 (cv::Mat_<short>)

Matrix indexer

A matrix whose element is 16UC1 (cv::Mat_<ushort>)

Matrix indexer

Raster image moments

Maximal Stable Extremal Regions class

P/Invoke methods of OpenCV 2.x C++ interface

The default exception to be thrown by OpenCV

The exception that is thrown by OpenCvSharp.

Class implementing the ORB (*oriented BRIEF*) keypoint detector and descriptor extractor

Proxy datatype for passing Mat's and List<>'s as output parameters

Proxy datatype for passing Mat's and List<>'s as output parameters

Proxy datatype for passing Mat's and List<>'s as output parameters

Principal Component Analysis

Template class for smart reference-counting pointers

Random Number Generator. The class implements RNG using Multiply-with-Carry algorithm.

Mersenne Twister random number generator

Implementation of the Shape Context descriptor and matching algorithm

Abstract base class for shape distance algorithms.

Class for grouping object candidates, detected by Cascade Classifier, HOG etc. instance of the class is to be passed to cv::partition (see cxoperations.hpp)

Class for extracting blobs from an image.

SimpleBlobDetector parameters

Sparse matrix class.

Mat Indexer

Abstract definition of Mat indexer

C++ std::string

Semi-Global Stereo Matching

The base class for stereo correspondence algorithms.

Semi-Global Stereo Matching

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

Base class for Super Resolution algorithms.

Singular Value Decomposition class

std::vector<cv::String>

Video capturing class

AVI Video File Writer

Win32API Wrapper

Wrapper of HighGUI window

Handles loading embedded dlls into memory, based on http://stackoverflow.com/questions/666799/embedding-unmanaged-dll-into-a-managed-c-sharp-dll.

circle structure retrieved from cvHoughCircle

Struct for matching: query descriptor index, train descriptor index, train image index and distance between descriptors.

Data structure for salient point detectors

Line segment structure retrieved from cvHoughLines2

Polar line segment retrieved from cvHoughLines2

Matrix data type (depth and number of channels)

float Range class

Stores a set of four integers that represent the location and size of a rectangle

Template class for a 4-element vector derived from Vec.

The class defining termination criteria for iterative algorithms.

2-Tuple of byte (System.Byte)

2-Tuple of double (System.Double)

2-Tuple of float (System.Single)

2-Tuple of int (System.Int32)

2-Tuple of short (System.Int16)

2-Tuple of ushort (System.UInt16)

3-Tuple of byte (System.Byte)

3-Tuple of double (System.Double)

3-Tuple of float (System.Single)

3-Tuple of int (System.Int32)

3-Tuple of short (System.Int16)

3-Tuple of ushort (System.UInt16)

4-Tuple of byte (System.Byte)

4-Tuple of double (System.Double)

4-Tuple of float (System.Single)

4-Tuple of int (System.Int32)

4-Tuple of short (System.Int16)

4-Tuple of ushort (System.UInt16)

6-Tuple of byte (System.Byte)

6-Tuple of double (System.Double)

6-Tuple of float (System.Single)

6-Tuple of int (System.Int32)

6-Tuple of short (System.Int16)

4-Tuple of ushort (System.UInt16)

Represents a OpenCV-based class which has a native pointer.

Represents std::vector

Equivalence predicate (a boolean function of two arguments). The predicate returns true when the elements are certainly in the same class, and returns false if they may or may not be in the same class.

Error Handler

Delegate to be called every time mouse event occurs in the specified window.

Delegate to be called every time the slider changes the position.

Delegate to be called every time the slider changes the position.

Adaptive thresholding algorithms

AGAST type one of the four neighborhoods as defined in the paper

cv::AKAZE descriptor type

cv::Algorithm parameter type

Type of the border to create around the copied source image rectangle

Button type flags (cv::createButton)

Different flags for cvCalibrateCamera2 and cvStereoCalibrate

channel indices for multi-head camera live streams

Camera device types

Position in relative units

Property identifiers for CvCapture

Capture type of CvCapture (Camera or AVI file)

Various operation flags for cvFindChessboardCorners

The flag specifying the relation between the elements to be checked

Color conversion operation for cv::cvtColor

GNU Octave/MATLAB equivalent colormaps

components algorithm output formats

Approximation method (for all the modes, except CV_RETR_RUNS, which uses built-in approximation).

Operation flags for Covariation

Type of termination criteria

Transformation flags for cv::dct

Inversion methods

Transformation flags for cvDFT

Mask size for distance transform

distanceTransform algorithm flags

Type of distance for cvDistTransform

Distribution type for cvRandArr, etc.

Output string format of Mat.Dump()

Edge preserving filters

The initial step the algorithm starts from

Type of covariation matrices

Error status codes

AGAST type one of the four neighborhoods as defined in the paper

type of the file storage node

File storage mode

Method for solving a PnP problem:

Specifies how to flip the array

floodFill Operation flags. Lower bits contain a connectivity value, 4 (default) or 8, used within the function. Connectivity determines which neighbors of a pixel are considered. Upper bits can be 0 or a combination of the following flags:

4-character code of codec used to compress the frames.

Method for computing the fundamental matrix

The operation flags for cv::GEMM

class of the pixel in GrabCut algorithm

GrabCut algorithm flags

Modes of operation for cvHaarDetectObjects

Font name identifier. Only a subset of Hershey fonts (http://sources.isc.org/utils/misc/hershey-font.txt) are supported now.

Comparison methods for cvCompareHist

The method used to computed homography matrix

Variants of a Hough transform

Specifies colorness and Depth of the loaded image

The format type IDs for cv::imwrite and cv::inencode

The inpainting method

Interpolation algorithm

cv::KAZE diffusivity type

Miscellaneous flags for cv::kmeans

Variants of Line Segment %Detector

Type of the line

Marker styles for Mat.DrawMarker

diagonal type

Shape of the structuring element

Type of morphological operation

Mouse events

Type of norm

cv::calcOpticalFlowPyrLK flags

cv::ORB score flags

Flags for PCA operations

PixelConnectivity for LineIterator

cv::initWideAngleProjMap flags

types of intersection between rectangles

The dimension index along which the matrix is reduce.

The reduction operations for cvReduce

mode of the contour retrieval algorithm

SeamlessClone method

Comparison methods for cv::matchShapes

return codes for cv::solveLP() function

Method for solving a PnP problem:

Signals an error and raises the exception.

The operation flags for cvStereoRectify

Status code

Operation flags for SVD

Specifies the way the template must be compared with image regions

Thresholding type

Flags for the window

Property identifiers for cvGetWindowProperty/cvSetWindowProperty