Calculates affine matrix of 2d rotation.

Calculates affine matrix of 2d rotation.

Calculates absolute difference between array and scalar

Calculates absolute difference between two arrays

Calculates absolute difference between array and scalar

Adds frame to accumulator

Adds frame to accumulator

Applies adaptive threshold to array.

Applies adaptive threshold to array.

Applies adaptive threshold to array.

Applies adaptive threshold to array.

Applies adaptive threshold to array.

Computes per-element sum of two arrays

Computes per-element sum of two arrays

Computes sum of array and scalar

Computes sum of array and scalar

Create the font to be used to draw text on an image

Computes weighted sum of two arrays

Allocates memory buffer

Calculates per-element bit-wise conjunction of two arrays

Calculates per-element bit-wise conjunction of two arrays

Calculates per-element bit-wise conjunction of array and scalar

Calculates per-element bit-wise conjunction of array and scalar

Approximates Freeman chain(s) with polygonal curve

Approximates Freeman chain(s) with polygonal curve

Approximates Freeman chain(s) with polygonal curve

Approximates Freeman chain(s) with polygonal curve

Approximates Freeman chain(s) with polygonal curve

Approximates polygonal curve(s) with desired precision.

Approximates polygonal curve(s) with desired precision.

Calculates contour perimeter or curve length

Calculates contour perimeter or curve length

Calculates contour perimeter or curve length

initializes CvAttrList structure

initializes CvAttrList structure

initializes CvAttrList structure

Calculates average (mean) of array elements

Calculates average (mean) of array elements

Calculates average (mean) of array elements

Calculates average (mean) of array elements

cvScaleAdd(A, cvRealScalar(real_scalar), B, C)

Reconstructs the original vectors from the projection coefficients

Calculates up-right bounding rectangle of point set.

Calculates up-right bounding rectangle of point set.

Calculates up-right bounding rectangle of point set.

Finds box vertices

Modification of a previous sparse optical flow algorithm to calculate affine flow

Calculates back projection

Locates a template within image by histogram comparison

Locates a template within image by histogram comparison

Calculates the histogram of one single-channel image. The elements of a tuple that is used to increment a histogram bin are taken at the same location from the corresponding input images.

Calculates the histogram of single-channel images. The elements of a tuple that is used to increment a histogram bin are taken at the same location from the corresponding input images.

Calculates the histogram of one single-channel image. The elements of a tuple that is used to increment a histogram bin are taken at the same location from the corresponding input images.

Calculates the histogram of single-channel images. The elements of a tuple that is used to increment a histogram bin are taken at the same location from the corresponding input images.

Calculates the histogram of one single-channel image. The elements of a tuple that is used to increment a histogram bin are taken at the same location from the corresponding input images.

Calculates the histogram of single-channel images. The elements of a tuple that is used to increment a histogram bin are taken at the same location from the corresponding input images.

Calculates back projection

Locates a template within image by histogram comparison

Locates a template within image by histogram comparison

Calculates bayesian probabilistic histograms

Calculates covariation matrix of the set of vectors

Calculates the covariance matrix for a group of input objects. (ioFlags = CV_EIGOBJ_NO_CALLBACK)

Calculates the covariance matrix for a group of input objects.

Calculates the decomposition coefficient of an input object.

Calculates the orthonormal eigen basis and the averaged object for group a of input objects. (ioFlags = CV_EIGOBJ_NO_CALLBACK)

Calculates the orthonormal eigen basis and the averaged object for group a of input objects. (ioFlags = CV_EIGOBJ_INPUT_CALLBACK)

Calculates the orthonormal eigen basis and the averaged object for group a of input objects. (ioFlags = CV_EIGOBJ_OUTPUT_CALLBACK)

Calculates the orthonormal eigen basis and the averaged object for group a of input objects.

Computes "minimal work" distance between two weighted point configurations.

Computes "minimal work" distance between two weighted point configurations.

Computes "minimal work" distance between two weighted point configurations.

Computes "minimal work" distance between two weighted point configurations.

Computes "minimal work" distance between two weighted point configurations.

Calculates global motion orientation of some selected region

Calculates the histogram of one single-channel image. The elements of a tuple that is used to increment a histogram bin are taken at the same location from the corresponding input images.

Calculates the histogram of single-channel images. The elements of a tuple that is used to increment a histogram bin are taken at the same location from the corresponding input images.

Calculates the histogram of one single-channel image. The elements of a tuple that is used to increment a histogram bin are taken at the same location from the corresponding input images.

Calculates the histogram of single-channel images. The elements of a tuple that is used to increment a histogram bin are taken at the same location from the corresponding input images.

Calculates the histogram of one single-channel image. The elements of a tuple that is used to increment a histogram bin are taken at the same location from the corresponding input images.

Calculates the histogram of single-channel images. The elements of a tuple that is used to increment a histogram bin are taken at the same location from the corresponding input images.

Calculates homography matrix for oblong planar object (e.g. arm)

Computes d(AB)/dA and d(AB)/dB

Calculates gradient orientation of motion history image

Calculates gradient orientation of motion history image

Calculates optical flow for two images by block matching method

Estimate optical flow for each pixel using the two-frame G. Farneback algorithm

Computes flow for every pixel of the first input image using Horn & Schunck algorithm

Computes flow for every pixel of the first input image using Lucas & Kanade algorithm

Calculates optical flow for a sparse feature set using iterative Lucas-Kanade method in pyramids

Calculates optical flow for a sparse feature set using iterative Lucas-Kanade method in pyramids

Performs Principal Component Analysis of a vector set

Calculates pair-wise geometrical histogram for contour

Divides one histogram by another.

Divides one histogram by another.

Calculates coordinates of Voronoi diagram cells.

Finds intrinsic and extrinsic camera parameters using calibration pattern

Finds intrinsic and extrinsic camera parameters using calibration pattern

Finds intrinsic and extrinsic camera parameters using calibration pattern

Finds intrinsic and extrinsic camera parameters using calibration pattern

Finds intrinsic and extrinsic camera parameters using calibration pattern

Finds intrinsic and extrinsic camera parameters using calibration pattern

Finds intrinsic and extrinsic camera parameters using calibration pattern

Finds intrinsic and extrinsic camera parameters using calibration pattern

Finds intrinsic and extrinsic camera parameters using calibration pattern

Finds intrinsic and extrinsic camera parameters using calibration pattern

Finds object center, size, and orientation

Finds object center, size, and orientation

Finds object center, size, and orientation

Finds the edges on the input image image and marks them in the output image edges using the Canny algorithm. The smallest of threshold1 and threshold2 is used for edge linking, the largest - to find initial segments of strong edges.

Finds the edges on the input image image and marks them in the output image edges using the Canny algorithm. The smallest of threshold1 and threshold2 is used for edge linking, the largest - to find initial segments of strong edges.

Calculates magnitude and/or angle of 2d vectors

Calculates magnitude and/or angle of 2d vectors

Calculates magnitude and/or angle of 2d vectors

Calculates cubic root

Returns the minimum integer value that is not smaller than the argument.

Checks every element of input array for invalid values

Checks every element of input array for invalid values

Checks every element of input array for invalid values

Checks every element of input array for invalid values

Checks every element of input array for invalid values

Checks every element of input array for invalid values

Performs a fast check if a chessboard is in the input image. This is a workaround to a problem of cvFindChessboardCorners being slow on images with no chessboard

Tests contour convexity.

Check termination criteria and transform it so that type=CriteriaType.Iteration | CriteriaType.Epsilon, and both max_iter and epsilon are valid

Draws a circle

Draws a circle

Draws a circle

Draws a circle

Draws a circle

Draws a circle

Draws a circle

Draws a circle

Returns index of graph vertex

Sets all histogram bins to 0 in case of dense histogram and removes all histogram bins in case of sparse array.

Clears memory storage

Clears the particular array element

Clears sequence

Clears set

Removes all virtual points

Clips the line against the image rectangle

Makes a clone of the object

Makes a clone of the object

Clone graph

Makes a full copy of image

Creates matrix copy

Creates full copy of multi-dimensional array

Creates a copy of sequence

Creates a copy of sequence

Creates a copy of sequence

Creates a copy of sequence

Creates full copy of sparse array

Performs per-element comparison of two arrays

Performs per-element comparison of array and scalar

Compares two dense histograms.

Completes the symmetric matrix from the lower part

Completes the symmetric matrix from the lower (LtoR=0) or from the upper (LtoR!=0) part

Computes r3 = rodrigues(rodrigues(r2)*rodrigues(r1)), t3 = rodrigues(r2)*t1 + t2 and the respective derivatives

For points in one image of stereo pair computes the corresponding epilines in the other image

Initializes sample set for ConDensation algorithm

Estimates subsequent model state

Calculates area of the whole contour or contour section.

Calculates area of the whole contour or contour section.

Restores contour from tree.

Alias for cvArcLength(curve,Whole_Seq,1)

Alias for Moments with CvSeq contours

Converts one array to another with optional linear transformation

Converts one image to another and flips the result vertically if required.

Converts mapx & mapy from floating-point to integer formats for cvRemap

Convert points to/from homogeneous coordinates

Convert points to/from homogeneous coordinates

Converts one array to another with optional linear transformation

Converts one array to another with optional linear transformation

Converts one array to another with optional linear transformation

Converts input array elements to 8-bit unsigned integer another with optional linear transformation

Converts input array elements to 8-bit unsigned integer another with optional linear transformation

Converts input array elements to 8-bit unsigned integer another with optional linear transformation

Finds convex hull of point set

Finds convex hull of point set

Finds convex hull of point set

Finds convex hull of point set

Finds convex hull of point set

Finds convex hull of point set

Finds convex hull of point set

Finds convexity defects of contour

Finds convexity defects of contour

Finds convexity defects of contour

Copies one array to another

Copies one array to another

The function cvCopyHist makes a copy of the histogram. If the second histogram pointer dst is null, a new histogram of the same size as src is created. Otherwise, both histograms must have equal types and sizes. Then the function copies the source histogram bins values to destination histogram and sets the same bin values ranges as in src.

Copies image and makes border around it.

Copies image and makes border around it.

Calculates eigenvalues and eigenvectors of image blocks for corner detection

Calculates eigenvalues and eigenvectors of image blocks for corner detection

Runs the Harris edge detector on image. Similarly to cvCornerMinEigenVal and cvCornerEigenValsAndVecs, for each pixel it calculates 2x2 gradient covariation matrix M over block_size×block_size neighborhood.

Runs the Harris edge detector on image. Similarly to cvCornerMinEigenVal and cvCornerEigenValsAndVecs, for each pixel it calculates 2x2 gradient covariation matrix M over block_size×block_size neighborhood.

Runs the Harris edge detector on image. Similarly to cvCornerMinEigenVal and cvCornerEigenValsAndVecs, for each pixel it calculates 2x2 gradient covariation matrix M over block_size×block_size neighborhood.

Calculates minimal eigenvalue of gradient matrices for corner detection

Calculates minimal eigenvalue of gradient matrices for corner detection

The Optimal Triangulation Method

Counts non-zero array elements

Create a button on the control panel

Create a button on the control panel

Create a button on the control panel

Create a button on the control panel

Create a button on the control panel

Create a button on the control panel

Allocates and initialized the CvCapture structure for reading a video stream from the camera. Currently two camera interfaces can be used on Windows: Video for Windows (VFW) and Matrox Imaging Library (MIL); and two on Linux: V4L and FireWire (IEEE1394).

Allocates and initialized the CvCapture structure for reading a video stream from the camera. Currently two camera interfaces can be used on Windows: Video for Windows (VFW) and Matrox Imaging Library (MIL); and two on Linux: V4L and FireWire (IEEE1394).

Creates child memory storage

Allocates ConDensation filter structure

Creates hierarchical representation of contour

Allocates array data.

Constructs a tree of feature vectors

Allocates and initialized the CvCapture structure for reading the video stream from the specified file. After the allocated structure is not used any more it should be released by cvReleaseCapture function.

Creates empty graph

Creates empty graph

Creates structure for depth-first graph traversal

Creates structure for depth-first graph traversal

Creates structure for depth-first graph traversal

Creates a histogram of the specified size and returns the pointer to the created histogram.

Creates a histogram of the specified size and returns the pointer to the created histogram.

Creates a histogram of the specified size and returns the pointer to the created histogram.

Creates header and allocates data

Allocates, initializes, and returns structure IplImage

Allocates Kalman filter structure

Allocates Kalman filter structure

Constructs kd-tree from set of feature descriptors

Construct a Locality Sensitive Hash (LSH) table, for indexing d-dimensional vectors of given type. Vectors will be hashed L times with k-dimensional p-stable (p=2) functions.

Construct a Locality Sensitive Hash (LSH) table, for indexing d-dimensional vectors of given type. Vectors will be hashed L times with k-dimensional p-stable (p=2) functions.

Construct a Locality Sensitive Hash (LSH) table, for indexing d-dimensional vectors of given type. Vectors will be hashed L times with k-dimensional p-stable (p=2) functions.

Construct a Locality Sensitive Hash (LSH) table, for indexing d-dimensional vectors of given type. Vectors will be hashed L times with k-dimensional p-stable (p=2) functions.

Construct a Locality Sensitive Hash (LSH) table, for indexing d-dimensional vectors of given type. Vectors will be hashed L times with k-dimensional p-stable (p=2) functions.

Construct a Locality Sensitive Hash (LSH) table, for indexing d-dimensional vectors of given type. Vectors will be hashed L times with k-dimensional p-stable (p=2) functions.

Allocates header for the new matrix and underlying data, and returns a pointer to the created matrix.

allocates new matrix header and returns pointer to it. The matrix data can further be allocated using cvCreateData or set explicitly to user-allocated data via cvSetData.

Allocates header for multi-dimensional dense array and the underlying data, and returns pointer to the created array.

Allocates header for multi-dimensional dense array. The array data can further be allocated using cvCreateData or set explicitly to user-allocated data via cvSetData.

Construct in-memory LSH table, with n bins.

Construct in-memory LSH table, with n bins.

Construct in-memory LSH table, with n bins.

Construct in-memory LSH table, with n bins.

Construct in-memory LSH table, with n bins.

Construct in-memory LSH table, with n bins.

Creates memory storage

Creates memory storage

Initializes structure containing object information

Initializes structure containing object information

Builds pyramid for an image

Creates sequence

Creates sequence

Creates empty set

Creates sparse array

Constructs spill-tree from set of feature descriptors

Constructs spill-tree from set of feature descriptors

Constructs spill-tree from set of feature descriptors

Constructs spill-tree from set of feature descriptors

Creates block matching stereo correspondence structure

Creates block matching stereo correspondence structure

Creates block matching stereo correspondence structure

Creates the state of graph cut-based stereo correspondence algorithm

Allocates and fills the structure IplConvKernel, which can be used as a structuring element in the morphological operations.

Allocates and fills the structure IplConvKernel, which can be used as a structuring element in the morphological operations.

Creates empty Delaunay triangulation. The users must initialize the returned value by cvInitSubdivDelaunay2D.

Creates empty Delaunay triangulation

Creates the trackbar (a.k.a. slider or range control) with the specified name and range, assigns the variable to be syncronized with trackbar position and specifies callback function to be called on trackbar position change. The created trackbar is displayed on top of given window.

Creates the trackbar (a.k.a. slider or range control) with the specified name and range, assigns the variable to be syncronized with trackbar position and specifies callback function to be called on trackbar position change. The created trackbar is displayed on top of given window.

Creates the trackbar (a.k.a. slider or range control) with the specified name and range, assigns the variable to be syncronized with trackbar position and specifies callback function to be called on trackbar position change. The created trackbar is displayed on top of given window.

Creates video writer structure.

Creates video writer structure.

Calculates cross product of two 3D vectors

Converts image from one color space to another.

Divides multi-channel array into several single-channel arrays or extracts a single channel from the array

Composes multi-channel array from several single-channel arrays or inserts a single channel into the array

Converts one array to another with optional linear transformation

Converts one array to another with optional linear transformation

Converts one array to another with optional linear transformation

Converts input array elements to 8-bit unsigned integer another with optional linear transformation

Converts input array elements to 8-bit unsigned integer another with optional linear transformation

Converts input array elements to 8-bit unsigned integer another with optional linear transformation

Copies sequence to one continuous block of memory

Copies sequence to one continuous block of memory

Performs forward or inverse Discrete Cosine transform of 1D or 2D floating-point array

Decode image stored in the buffer

Decode image stored in the buffer

Computes projection matrix decomposition

Computes projection matrix decomposition

Computes projection matrix decomposition

Decrements array data reference counter．

Deletes moire in given image

Destroys all the opened HighGUI windows.

Destroys the window with a given name.

Returns determinant of matrix

Performs forward or inverse Discrete Fourier transform of 1D or 2D floating-point array

Performs forward or inverse Discrete Fourier transform of 1D or 2D floating-point array

Dilates image by using arbitrary structuring element.

Dilates image by using arbitrary structuring element.

Dilates image by using arbitrary structuring element.

Display text on the window's image as an overlay for delay milliseconds. This is not editing the image's data. The text is display on the top of the image.

Calculates distance to closest zero pixel for all non-zero pixels of source image.

Calculates distance to closest zero pixel for all non-zero pixels of source image.

Calculates distance to closest zero pixel for all non-zero pixels of source image.

Calculates distance to closest zero pixel for all non-zero pixels of source image.

Calculates distance to closest zero pixel for all non-zero pixels of source image.

Calculates distance to closest zero pixel for all non-zero pixels of source image.

Performs per-element division of two arrays

Performs per-element division of two arrays

Calculates dot product of two arrays in Euclidean metrics

Draws the individual chessboard corners detected (as red circles) in case if the board was not found (pattern_was_found=0) or the colored corners connected with lines when the board was found (pattern_was_found≠0).

Draws a circle

Draws a circle

Draws a circle

Draws a circle

Draws a circle

Draws a circle

Draws a circle

Draws a circle

Draws contour outlines or interiors in the image

Draws contour outlines or interiors in the image

Draws contour outlines or interiors in the image

Draws contour outlines or interiors in the image

Draws simple or thick elliptic arc or fills ellipse sector

Draws simple or thick elliptic arc or fills ellipse sector

Draws simple or thick elliptic arc or fills ellipse sector

Draws simple or thick elliptic arc or fills ellipse sector

Draws a line segment connecting two points

Draws a line segment connecting two points

Draws a line segment connecting two points

Draws a line segment connecting two points

Draws a line segment connecting two points

Draws a line segment connecting two points

Draws a line segment connecting two points

Draws a line segment connecting two points

Draws simple or thick polygons

Draws simple or thick polygons

Draws simple or thick polygons

Draws simple or thick polygons

Draws simple, thick or filled rectangle

Draws simple, thick or filled rectangle

Draws simple, thick or filled rectangle

Draws simple, thick or filled rectangle

Draws simple, thick or filled rectangle

Draws simple, thick or filled rectangle

Draws simple, thick or filled rectangle

Draws simple, thick or filled rectangle

Draws simple, thick or filled rectangle

Draws simple, thick or filled rectangle

Draws simple, thick or filled rectangle

Draws simple, thick or filled rectangle

Calculates all of the decomposition coefficients for an input object. (ioFlags = CV_EIGOBJ_NO_CALLBACK)

Calculates all of the decomposition coefficients for an input object.

Calculates the object projection into the eigen sub-space. (ioFlags = CV_EIGOBJ_NO_CALLBACK)

Calculates the object projection into the eigen sub-space.

Computes eigenvalues and eigenvectors of symmetric matrix

Computes eigenvalues and eigenvectors of symmetric matrix

Computes eigenvalues and eigenvectors of symmetric matrix

Computes eigenvalues and eigenvectors of symmetric matrix

Draws simple or thick elliptic arc or fills ellipse sector

Draws simple or thick elliptic arc or fills ellipse sector

Draws simple or thick elliptic arc or fills ellipse sector

Draws simple or thick elliptic arc or fills ellipse sector

Approximates elliptic arc with polyline

Draws simple or thick elliptic arc or fills ellipse sector

Draws simple or thick elliptic arc or fills ellipse sector

Draws simple or thick elliptic arc or fills ellipse sector

Draws simple or thick elliptic arc or fills ellipse sector

Encode image and store the result as a byte vector (single-row 8uC1 matrix)

Encode image and store the result as a byte vector (single-row 8uC1 matrix)

Finishes scanning process

Finishes process of writing sequence

Ends writing a structure

Equalizes histogram of grayscale image.

Erodes image by using arbitrary structuring element.

Erodes image by using arbitrary structuring element.

Erodes image by using arbitrary structuring element.

Raises an error

Returns textual description of error status code

Estimate rigid transformation between 2 images or 2 point sets

Calculates exponent of every array element

Extracts the contours of Maximally Stable Extremal Regions

Extracts Speeded Up Robust Features from image

Extracts Speeded Up Robust Features from image

Extracts Speeded Up Robust Features from image

Extracts Speeded Up Robust Features from image

Calculates angle of 2D vector

Performs forward or inverse Discrete Fourier transform of 1D or 2D floating-point array

Performs forward or inverse Discrete Fourier transform of 1D or 2D floating-point array

Fills convex polygon

Fills convex polygon

Fills convex polygon

Fills polygons interior

Fills polygons interior

Fills polygons interior

Applies arbitrary linear filter to the image. In-place operation is supported. When the aperture is partially outside the image, the function interpolates outlier pixel values from the nearest pixels that is inside the image.

Applies arbitrary linear filter to the image. In-place operation is supported. When the aperture is partially outside the image, the function interpolates outlier pixel values from the nearest pixels that is inside the image.

Finds positions of internal corners of the chessboard

Finds positions of internal corners of the chessboard

Finds positions of internal corners of the chessboard

Retrieves contours from the binary image and returns the number of retrieved contours.

Retrieves contours from the binary image and returns the number of retrieved contours.

Retrieves contours from the binary image and returns the number of retrieved contours.

Retrieves contours from the binary image and returns the number of retrieved contours.

Retrieves contours from the binary image and returns the number of retrieved contours.

Iterates to find the sub-pixel accurate location of corners, or radial saddle points.

Finds high-curvature points of the contour

Finds extrinsic camera parameters for particular view

Finds extrinsic camera parameters for particular view

Finds approximate k nearest neighbors of given vectors using best-bin-first search.

Finds approximate k nearest neighbors of given vectors using best-bin-first search.

Finds approximate k nearest neighbors of given vectors using best-bin-first search.

Performs orthogonal range seaching on the given kd-tree.

Calculates fundamental matrix from corresponding points in two images

Calculates fundamental matrix from corresponding points in two images

Calculates fundamental matrix from corresponding points in two images

Calculates fundamental matrix from corresponding points in two images

Finds edge in graph

Finds edge in graph

Finds perspective transformation between two planes

Finds perspective transformation between two planes

Finds perspective transformation between two planes

Finds perspective transformation between two planes

Finds the closest subdivision vertex to given point

Finds next contour in the image

Calculates disparity for stereo-pair

Calculates disparity for stereo-pair

Computes the disparity map using block matching algorithm

Computes the disparity map using graph cut-based algorithm

Computes the disparity map using graph cut-based algorithm

Finds type by its name

Returns the beginning of type list

Fits ellipse to set of 2D points

Fits ellipse to set of 2D points

Fits line to 2D or 3D point set

Fits line to 2D point set

Fits line to 2D point set

Fits line to 3D point set

Flip a 2D array around vertical, horizontal or both axises

Flip a 2D array around vertical, horizontal or both axises

Flip a 2D array around vertical, horizontal or both axises

Fills a connected component with given color.

Fills a connected component with given color.

Fills a connected component with given color.

Fills a connected component with given color.

Fills a connected component with given color.

Fills a connected component with given color.

Returns the maximum integer value that is not larger than the argument.

Updates sequence headers from the writer state

Create the font to be used to draw text on an image

Create the font to be used to draw text on an image

Create the font to be used to draw text on an image

Create the font to be used to draw text on an image

Create the font to be used to draw text on an image

Create the font to be used to draw text on an image

4つの文字からFOURCCの整数値を得る

4つの文字からFOURCCの整数値を得る

4つの文字からFOURCCの整数値を得る

Deallocates memory buffer

Performs generalized matrix multiplication

Performs generalized matrix multiplication

Return the particular array element

Return the particular array element

Return the particular array element

Calculates affine transform from 3 corresponding points.

Calculates affine transform from 3 corresponding points.

Retrieves the specified property of camera or video file.

Retrieves the specified property of camera or video file.

Retrieves central moment from moment state structure

Returns array column

Returns array column span

Returns one of array diagonals

Returns one of array diagonals

Return number of array dimensions and their sizes

Return number of array dimensions and their sizes

Return the size of particular dimension

Returns type of array elements

Returns the current error mode

Returns the current error status

Finds node in the map or file storage

Finds node in the map or file storage

Finds node in the map or file storage

Returns name of file node

Finds graph vertex by index

Returns a unique pointer for given name

Returns a unique pointer for given name

Returns pointer to histogram bin.

Returns pointer to histogram bin.

Returns pointer to histogram bin.

Returns pointer to histogram bin.

Calculates seven Hu invariants

Returns image header for arbitrary array

Returns image header for arbitrary array

Returns index of channel of interest

Returns image ROI coordinates. The rectangle cvRect(0,0,image.Width,image.Height) is returned if there is no ROI.

Returns matrix header for arbitrary array

Returns matrix header for arbitrary array

Returns matrix header for arbitrary array

Returns matrix header for arbitrary array

Finds minimum and maximum histogram bins.

Finds minimum and maximum histogram bins.

Retrieves information about the registered module(s) and plugins

Return the particular array element

Moves iterator to the next sparse matrix element and returns pointer to it.

Retrieves normalized central moment from moment state structure

Returns the current number of threads that are used by parallelized (via OpenMP) OpenCV functions.

Returns optimal DFT size for given vector size

Returns the new camera matrix based on the free scaling parameter

Returns the new camera matrix based on the free scaling parameter

Returns the new camera matrix based on the free scaling parameter

Calculates perspective transform from 4 corresponding points.

Calculates perspective transform from 4 corresponding points.

Retrieves pixel quadrangle from image with sub-pixel accuracy.

Retrieves low-level information about the array

Retrieves low-level information about the array

Retrieves low-level information about the array

Return the particular element of single-channel array

Return the particular element of single-channel array

Return the particular element of single-channel array

Return the particular element of single-channel array

Retrieves pixel rectangle from image with sub-pixel accuracy.

Retrieves one of top-level nodes of the file storage

Retrieves one of top-level nodes of the file storage

Calculates affine matrix of 2d rotation.

Returns array row

Returns array row span

Returns array row span

Returns pointer to sequence element by its index

Returns pointer to sequence element by its index

Returns the current reader position

Finds set element by its index

Returns size of matrix or image ROI

Retrieves spatial moment from moment state structure

Retrieves keypoints using the StarDetector algorithm.

Retrieves keypoints using the StarDetector algorithm.

Returns matrix header corresponding to the rectangular sub-array of input image or matrix

Returns matrix header corresponding to the rectangular sub-array of input image or matrix

Retrieves width and height of text string

Returns index of the current thread

Returns number of tics starting from some platform-dependent event (number of CPU ticks from the startup, number of milliseconds from 1970th year etc.).

Returns number of tics per microsecond

Returns the current position of the specified trackbar.

Returns native window handle (HWND in case of Win32 and GtkWidget in case of GTK+).

Returns the name of window given its native handle (HWND in case of Win32 and GtkWidget in case of GTK+).

Get Property of the window

Determines strong corners on image

Determines strong corners on image

Determines strong corners on image

Determines strong corners on image

Determines strong corners on image

Grabs the frame from camera or file. The grabbed frame is stored internally. The purpose of this function is to grab frame fast that is important for syncronization in case of reading from several cameras simultaneously. The grabbed frames are not exposed because they may be stored in compressed format (as defined by camera/driver). To retrieve the grabbed frame, cvRetrieveFrame should be used.

Adds edge to graph

Adds edge to graph

Adds edge to graph

Adds edge to graph

Adds edge to graph

Adds edge to graph

Adds vertex to graph

Adds vertex to graph

Adds vertex to graph

Returns index of graph edge

Finds edge in graph

Finds edge in graph

Returns count of edges

Returns count of vertex

Removes edge from graph

Removes edge from graph

Removes vertex from graph

Removes vertex from graph

Counts edges indicent to the vertex

Counts edges indicent to the vertex

Returns index of graph vertex

Finds rectangular regions in the given image that are likely to contain objects the cascade has been trained for and returns those regions as a sequence of rectangles.

Finds rectangular regions in the given image that are likely to contain objects the cascade has been trained for and returns those regions as a sequence of rectangles.

Finds rectangular regions in the given image that are likely to contain objects the cascade has been trained for and returns those regions as a sequence of rectangles.

Finds rectangular regions in the given image that are likely to contain objects the cascade has been trained for and returns those regions as a sequence of rectangles.

Finds rectangular regions in the given image that are likely to contain objects the cascade has been trained for and returns those regions as a sequence of rectangles.

Finds circles in grayscale image using Hough transform.

Finds circles in grayscale image using Hough transform.

Finds circles in grayscale image using Hough transform.

Finds circles in grayscale image using Hough transform.

Finds circles in grayscale image using Hough transform.

Finds circles in grayscale image using Hough transform.

Finds circles in grayscale image using Hough transform.

Finds circles in grayscale image using Hough transform.

Finds circles in grayscale image using Hough transform.

Finds circles in grayscale image using Hough transform.

Finds lines in binary image using Hough transform.

Finds lines in binary image using Hough transform.

Finds lines in binary image using Hough transform.

Finds lines in binary image using Hough transform.

Increments array data reference counter

Initializes font structure

Initializes font structure

Initializes font structure

Initializes font structure

Initializes allocated by user image header

Initializes allocated by user image header

Initializes allocated by user image header

Finds the initial camera matrix from the 3D-2D point correspondences

Finds the initial camera matrix from the 3D-2D point correspondences

Initializes line iterator

Initializes line iterator

Initializes line iterator

Initializes matrix header.

Initializes matrix header.

Initializes matrix header.

Initializes multi-dimensional array header.

Initializes multi-dimensional array header.

Initializes sparse array elements iterator

CvSubdiv2Dの初期化

Initializes tree node iterator

Pre-computes the undistortion map - coordinates of the corresponding pixel in the distorted image for every pixel in the corrected image.

Computes undistortion+rectification transformation map a head of stereo camera

Inpaints the selected region in the image.

Checks that array elements lie between elements of two other arrays

Checks that array elements lie between two scalars

Adds new node to the tree

Calculates integral images.

Calculates integral images.

Calculates integral images.

Finds inverse or pseudo-inverse of matrix

Finds inverse or pseudo-inverse of matrix

Finds inverse or pseudo-inverse of matrix

Finds inverse or pseudo-inverse of matrix

Calculates inverse square root

Determines if the argument is Infinity

Determines if the argument is Not A Number

Adjusts model state

Estimates subsequent model state

Estimates subsequent model state

Adjusts model state

Estimates subsequent model state

Estimates subsequent model state

Splits set of vectors by given number of clusters

Splits set of vectors by given number of clusters

Splits set of vectors by given number of clusters

Splits set of vectors by given number of clusters

Splits set of vectors by given number of clusters

Splits set of vectors by given number of clusters

Splits set of vectors by given number of clusters

Splits set of vectors by given number of clusters

Splits set of vectors by given number of clusters

Calculates Laplacian of the source image by summing second x- and y- derivatives calculated using Sobel operator.

Calculates Laplacian of the source image by summing second x- and y- derivatives calculated using Sobel operator.

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

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

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

Draws a line segment connecting two points

Draws a line segment connecting two points

Draws a line segment connecting two points

Draws a line segment connecting two points

Draws a line segment connecting two points

Draws a line segment connecting two points

Draws a line segment connecting two points

Draws a line segment connecting two points

Performs forward or inverse linear-polar image transform

Performs forward or inverse linear-polar image transform

Loads object from file

Loads object from file

Loads object from file

Loads object from file

Loads a trained cascade classifier from file or the classifier database embedded in OpenCV

Loads an image from the specified file and returns the reference to the loaded image.

Loads an image from the specified file and returns the reference to the loaded image.

Loads an image from the specified file and returns the reference to the loaded image as CvMat.

Loads an image from the specified file and returns the reference to the loaded image as CvMat.

load trained detector from a file

Load parameters of the window.

Calculates natural logarithm of every array element absolute value

Remaps image to log-polar space. The function emulates the human "foveal" vision and can be used for fast scale and rotation-invariant template matching, for object tracking etc.

Remaps image to log-polar space. The function emulates the human "foveal" vision and can be used for fast scale and rotation-invariant template matching, for object tracking etc.

Add vectors to the LSH structure, optionally returning indices.

Add vectors to the LSH structure, optionally returning indices.

Query the LSH n times for at most k nearest points; data is n x d, indices and dist are n x k. At most emax stored points will be accessed.

Remove vectors from LSH, as addressed by given indices.

Return the number of vectors in the LSH.

Performs look-up table transform of array

Performs look-up table transform of array

Performs look-up table transform of array

Performs look-up table transform of array

Performs look-up table transform of array

Performs look-up table transform of array

Calculates Mahalanobis distance between two vectors

Calculates Mahalonobis distance between two vectors

Makes a histogram out of array

Makes a histogram out of array

Makes a histogram out of array

Calculates scanlines coordinates for two cameras by fundamental matrix

Constructs sequence from array

Initializes matrix header (light-weight variant)

Initializes matrix header (light-weight variant)

Compares two contours using their tree representations.

Compares two shapes.

Compares two shapes.

Compares template against overlapped image regions.

Performs generalized matrix multiplication

Performs generalized matrix multiplication

Performs generalized matrix multiplication

Performs generalized matrix multiplication

Performs matrix transform of every array element

Performs matrix transform of every array element

Finds per-element maximum of two arrays

Finds bounding rectangle for two given rectangles

Finds per-element maximum of array and scalar

Finds object center on back projection

Allocates memory buffer in the storage

Allocates text string in the storage

Composes multi-channel array from several single-channel arrays or inserts a single channel into the array

Return the particular element of single-channel floating-point matrix

Finds per-element minimum of two arrays

Finds circumscribed rectangle of minimal area for given 2D point set

Finds circumscribed rectangle of minimal area for given 2D point set

Finds circumscribed rectangle of minimal area for given 2D point set

Finds circumscribed rectangle of minimal area for given 2D point set

Finds circumscribed rectangle of minimal area for given 2D point set

Finds global minimum and maximum in array or subarray

Finds global minimum and maximum in array or subarray

Finds global minimum and maximum in array or subarray

Finds global minimum and maximum in array or subarray

Finds global minimum and maximum in array or subarray

Finds global minimum and maximum in array or subarray

Finds per-element minimum of array and scalar

Flip a 2D array around vertical, horizontal or both axises

Flip a 2D array around vertical, horizontal or both axises

Flip a 2D array around vertical, horizontal or both axises

Copies several channels from input arrays to certain channels of output arrays

Moments

Performs advanced morphological transformations using erosion and dilation as basic operations.

Performs advanced morphological transformations using erosion and dilation as basic operations.

Changes position of the window.

Creates MSER parameters

Creates MSER parameters

Return the particular element of single-channel floating-point matrix

Calculates per-element product of two arrays

Calculates per-element product of two arrays

Calculates sum of scaled array and another array

Performs per-element multiplication of two Fourier spectrums

Adds product of two input images to accumulator

Adds product of two input images to accumulator

Calculates product of array and transposed array

Calculates product of array and transposed array

Calculates product of array and transposed array

Creates a window which can be used as a placeholder for images and trackbars. Created windows are reffered by their names.

Creates a window which can be used as a placeholder for images and trackbars. Created windows are reffered by their names.

Returns index of graph vertex

Moves iterator to the next line point

Returns the currently observed node and moves iterator toward the next node

Returns the currently observed node and moves iterator toward the next node

Returns the currently observed node and moves iterator toward the next node

CV_NODE_IDX

CV_NODE_VAL

CV_NODE_VAL

Calculates absolute array norm, absolute difference norm or relative difference norm

Calculates absolute array norm, absolute difference norm or relative difference norm

Calculates absolute array norm, absolute difference norm or relative difference norm

Calculates absolute array norm, absolute difference norm or relative difference norm

Normalizes array to a certain norm or value range

Normalizes array to a certain norm or value range

Normalizes array to a certain norm or value range

Normalizes array to a certain norm or value range

Normalizes the histogram bins by scaling them, such that the sum of the bins becomes equal to factor.

Performs per-element bit-wise inversion of array elements

Opens file storage for reading or writing data

Opens file storage for reading or writing data

Calculates per-element bit-wise disjunction of two arrays

Calculates per-element bit-wise disjunction of two arrays

Calculates per-element bit-wise disjunction of array and scalar

Calculates per-element bit-wise disjunction of array and scalar

Performs perspective matrix transform of vector array

Creates 2D point with integer coordinates

Creates 2D point with floating-point coordinates

Creates 2D point with double precision floating-point coordinates

Creates3D point with floating-point coordinates

Creates 3D point with double precision floating-point coordinates

Point in contour test

Initializes point sequence header from a point vector

Calculates cartesian coordinates of 2d vectors represented in polar form

Calculates cartesian coordinates of 2d vectors represented in polar form

Draws simple or thick polygons

Draws simple or thick polygons

Draws simple or thick polygons

Draws simple or thick polygons

Implements POSIT algorithm

Raises every array element to power

Calculates feature map for corner detection

Calculates feature map for corner detection

Returns the currently observed node and moves iterator toward the previous node

Returns the currently observed node and moves iterator toward the previous node

Returns the currently observed node and moves iterator toward the previous node

Projects vectors to the specified subspace

Computes projections of 3D points to the image plane given intrinsic and extrinsic camera parameters. Optionally, the function computes jacobians - matrices of partial derivatives of image points as functions of all the input parameters w.r.t. the particular parameters, intrinsic and/or extrinsic.

Computes projections of 3D points to the image plane given intrinsic and extrinsic camera parameters. Optionally, the function computes jacobians - matrices of partial derivatives of image points as functions of all the input parameters w.r.t. the particular parameters, intrinsic and/or extrinsic.

Computes projections of 3D points to the image plane given intrinsic and extrinsic camera parameters. Optionally, the function computes jacobians - matrices of partial derivatives of image points as functions of all the input parameters w.r.t. the particular parameters, intrinsic and/or extrinsic.

Return pointer to the particular array element

Return pointer to the particular array element

Return pointer to the particular array element

Return pointer to the particular array element

Return pointer to the particular array element

Return pointer to the particular array element

Return pointer to the particular array element

Return pointer to the particular array element

Return pointer to the particular array element

Return pointer to the particular array element

Draws text string

Downsamples image.

Downsamples image.

Does meanshift image segmentation.

Does meanshift image segmentation.

Does meanshift image segmentation.

Does image segmentation by pyramids.

Does image segmentation by pyramids.

Upsamples image.

Upsamples image.

Grabs a frame from camera or video file, decompresses and returns it. This function is just a combination of cvGrabFrame and cvRetrieveFrame in one call. The returned image should not be released or modified by user.

Queries value of histogram bin.

Queries value of histogram bin.

Queries value of histogram bin.

Queries value of histogram bin.

Fills array with random numbers

Fills array with random numbers and updates the RNG state

Initialize CvRandState structure

Initialize CvRandState structure

Returns 32-bit unsigned integer and updates RNG

Returns floating-point random number and updates RNG

Changes RNG range while preserving RNG state

Changes RNG range while preserving RNG state

Randomly shuffles the array elements

Randomly shuffles the array elements

Randomly shuffles the array elements

Fills matrix with given range of numbers as following: arr(i,j) = (end-start) * (i*cols(arr)+j) / (cols(arr)*rows(arr))

updates the number of RANSAC iterations

Decodes object and returns pointer to it

Finds object and decodes it

Gets next chain point

Retrieves integer value from file node

Retrieves integer value from file node

Finds file node and returns its value

Finds file node and returns its value

Reads multiple numbers

Initializes file node sequence reader

Retrieves floating-point value from file node

Retrieves floating-point value from file node

Finds file node and returns its value

Finds file node and returns its value

Retrieves text string from file node

Retrieves text string from file node

Finds file node and returns its value

Finds file node and returns its value

Initializes val[0] with val0, val[1]...val[3] with zeros

Draws simple, thick or filled rectangle

Draws simple, thick or filled rectangle

Draws simple, thick or filled rectangle

Draws simple, thick or filled rectangle

Draws simple, thick or filled rectangle

Draws simple, thick or filled rectangle

Draws simple, thick or filled rectangle

Draws simple, thick or filled rectangle

Draws simple, thick or filled rectangle

Draws simple, thick or filled rectangle

Draws simple, thick or filled rectangle

Draws simple, thick or filled rectangle