+++ /dev/null
-/*M///////////////////////////////////////////////////////////////////////////////////////
-//
-// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-// By downloading, copying, installing or using the software you agree to this license.
-// If you do not agree to this license, do not download, install,
-// copy or use the software.
-//
-//
-// Intel License Agreement
-// For Open Source Computer Vision Library
-//
-// Copyright (C) 2000, Intel Corporation, all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-// * Redistribution's of source code must retain the above copyright notice,
-// this list of conditions and the following disclaimer.
-//
-// * Redistribution's in binary form must reproduce the above copyright notice,
-// this list of conditions and the following disclaimer in the documentation
-// and/or other materials provided with the distribution.
-//
-// * The name of Intel Corporation may not be used to endorse or promote products
-// derived from this software without specific prior written permission.
-//
-// This software is provided by the copyright holders and contributors "as is" and
-// any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
-// In no event shall the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-
-
-#ifndef _CV_H_
-#define _CV_H_
-
-#ifdef __IPL_H__
-#define HAVE_IPL
-#endif
-
-#ifndef SKIP_INCLUDES
- #if defined(_CH_)
- #pragma package <chopencv>
- #include <chdl.h>
- LOAD_CHDL(cv)
- #endif
-#endif
-
-#include "cxcore.h"
-#include "cvtypes.h"
-
-#ifdef __cplusplus
-extern "C" {
-#endif
-
-/****************************************************************************************\
-* Image Processing *
-\****************************************************************************************/
-
-/* Copies source 2D array inside of the larger destination array and
- makes a border of the specified type (IPL_BORDER_*) around the copied area. */
-CVAPI(void) cvCopyMakeBorder( const CvArr* src, CvArr* dst, CvPoint offset,
- int bordertype, CvScalar value CV_DEFAULT(cvScalarAll(0)));
-
-#define CV_BLUR_NO_SCALE 0
-#define CV_BLUR 1
-#define CV_GAUSSIAN 2
-#define CV_MEDIAN 3
-#define CV_BILATERAL 4
-
-/* Smoothes array (removes noise) */
-CVAPI(void) cvSmooth( const CvArr* src, CvArr* dst,
- int smoothtype CV_DEFAULT(CV_GAUSSIAN),
- int size1 CV_DEFAULT(3),
- int size2 CV_DEFAULT(0),
- double sigma1 CV_DEFAULT(0),
- double sigma2 CV_DEFAULT(0));
-
-/* Convolves the image with the kernel */
-CVAPI(void) cvFilter2D( const CvArr* src, CvArr* dst, const CvMat* kernel,
- CvPoint anchor CV_DEFAULT(cvPoint(-1,-1)));
-
-/* Finds integral image: SUM(X,Y) = sum(x<X,y<Y)I(x,y) */
-CVAPI(void) cvIntegral( const CvArr* image, CvArr* sum,
- CvArr* sqsum CV_DEFAULT(NULL),
- CvArr* tilted_sum CV_DEFAULT(NULL));
-
-/*
- Smoothes the input image with gaussian kernel and then down-samples it.
- dst_width = floor(src_width/2)[+1],
- dst_height = floor(src_height/2)[+1]
-*/
-CVAPI(void) cvPyrDown( const CvArr* src, CvArr* dst,
- int filter CV_DEFAULT(CV_GAUSSIAN_5x5) );
-
-/*
- Up-samples image and smoothes the result with gaussian kernel.
- dst_width = src_width*2,
- dst_height = src_height*2
-*/
-CVAPI(void) cvPyrUp( const CvArr* src, CvArr* dst,
- int filter CV_DEFAULT(CV_GAUSSIAN_5x5) );
-
-/* Builds pyramid for an image */
-CVAPI(CvMat**) cvCreatePyramid( const CvArr* img, int extra_layers, double rate,
- const CvSize* layer_sizes CV_DEFAULT(0),
- CvArr* bufarr CV_DEFAULT(0),
- int calc CV_DEFAULT(1),
- int filter CV_DEFAULT(CV_GAUSSIAN_5x5) );
-
-/* Releases pyramid */
-CVAPI(void) cvReleasePyramid( CvMat*** pyramid, int extra_layers );
-
-
-/* Splits color or grayscale image into multiple connected components
- of nearly the same color/brightness using modification of Burt algorithm.
- comp with contain a pointer to sequence (CvSeq)
- of connected components (CvConnectedComp) */
-CVAPI(void) cvPyrSegmentation( IplImage* src, IplImage* dst,
- CvMemStorage* storage, CvSeq** comp,
- int level, double threshold1,
- double threshold2 );
-
-/* Filters image using meanshift algorithm */
-CVAPI(void) cvPyrMeanShiftFiltering( const CvArr* src, CvArr* dst,
- double sp, double sr, int max_level CV_DEFAULT(1),
- CvTermCriteria termcrit CV_DEFAULT(cvTermCriteria(CV_TERMCRIT_ITER+CV_TERMCRIT_EPS,5,1)));
-
-/* Segments image using seed "markers" */
-CVAPI(void) cvWatershed( const CvArr* image, CvArr* markers );
-
-#define CV_INPAINT_NS 0
-#define CV_INPAINT_TELEA 1
-
-/* Inpaints the selected region in the image */
-CVAPI(void) cvInpaint( const CvArr* src, const CvArr* inpaint_mask,
- CvArr* dst, double inpaintRange, int flags );
-
-#define CV_SCHARR -1
-#define CV_MAX_SOBEL_KSIZE 7
-
-/* Calculates an image derivative using generalized Sobel
- (aperture_size = 1,3,5,7) or Scharr (aperture_size = -1) operator.
- Scharr can be used only for the first dx or dy derivative */
-CVAPI(void) cvSobel( const CvArr* src, CvArr* dst,
- int xorder, int yorder,
- int aperture_size CV_DEFAULT(3));
-
-/* Calculates the image Laplacian: (d2/dx + d2/dy)I */
-CVAPI(void) cvLaplace( const CvArr* src, CvArr* dst,
- int aperture_size CV_DEFAULT(3) );
-
-/* Constants for color conversion */
-#define CV_BGR2BGRA 0
-#define CV_RGB2RGBA CV_BGR2BGRA
-
-#define CV_BGRA2BGR 1
-#define CV_RGBA2RGB CV_BGRA2BGR
-
-#define CV_BGR2RGBA 2
-#define CV_RGB2BGRA CV_BGR2RGBA
-
-#define CV_RGBA2BGR 3
-#define CV_BGRA2RGB CV_RGBA2BGR
-
-#define CV_BGR2RGB 4
-#define CV_RGB2BGR CV_BGR2RGB
-
-#define CV_BGRA2RGBA 5
-#define CV_RGBA2BGRA CV_BGRA2RGBA
-
-#define CV_BGR2GRAY 6
-#define CV_RGB2GRAY 7
-#define CV_GRAY2BGR 8
-#define CV_GRAY2RGB CV_GRAY2BGR
-#define CV_GRAY2BGRA 9
-#define CV_GRAY2RGBA CV_GRAY2BGRA
-#define CV_BGRA2GRAY 10
-#define CV_RGBA2GRAY 11
-
-#define CV_BGR2BGR565 12
-#define CV_RGB2BGR565 13
-#define CV_BGR5652BGR 14
-#define CV_BGR5652RGB 15
-#define CV_BGRA2BGR565 16
-#define CV_RGBA2BGR565 17
-#define CV_BGR5652BGRA 18
-#define CV_BGR5652RGBA 19
-
-#define CV_GRAY2BGR565 20
-#define CV_BGR5652GRAY 21
-
-#define CV_BGR2BGR555 22
-#define CV_RGB2BGR555 23
-#define CV_BGR5552BGR 24
-#define CV_BGR5552RGB 25
-#define CV_BGRA2BGR555 26
-#define CV_RGBA2BGR555 27
-#define CV_BGR5552BGRA 28
-#define CV_BGR5552RGBA 29
-
-#define CV_GRAY2BGR555 30
-#define CV_BGR5552GRAY 31
-
-#define CV_BGR2XYZ 32
-#define CV_RGB2XYZ 33
-#define CV_XYZ2BGR 34
-#define CV_XYZ2RGB 35
-
-#define CV_BGR2YCrCb 36
-#define CV_RGB2YCrCb 37
-#define CV_YCrCb2BGR 38
-#define CV_YCrCb2RGB 39
-
-#define CV_BGR2HSV 40
-#define CV_RGB2HSV 41
-
-#define CV_BGR2Lab 44
-#define CV_RGB2Lab 45
-
-#define CV_BayerBG2BGR 46
-#define CV_BayerGB2BGR 47
-#define CV_BayerRG2BGR 48
-#define CV_BayerGR2BGR 49
-
-#define CV_BayerBG2RGB CV_BayerRG2BGR
-#define CV_BayerGB2RGB CV_BayerGR2BGR
-#define CV_BayerRG2RGB CV_BayerBG2BGR
-#define CV_BayerGR2RGB CV_BayerGB2BGR
-
-#define CV_BGR2Luv 50
-#define CV_RGB2Luv 51
-#define CV_BGR2HLS 52
-#define CV_RGB2HLS 53
-
-#define CV_HSV2BGR 54
-#define CV_HSV2RGB 55
-
-#define CV_Lab2BGR 56
-#define CV_Lab2RGB 57
-#define CV_Luv2BGR 58
-#define CV_Luv2RGB 59
-#define CV_HLS2BGR 60
-#define CV_HLS2RGB 61
-
-#define CV_COLORCVT_MAX 100
-
-/* Converts input array pixels from one color space to another */
-CVAPI(void) cvCvtColor( const CvArr* src, CvArr* dst, int code );
-
-#define CV_INTER_NN 0
-#define CV_INTER_LINEAR 1
-#define CV_INTER_CUBIC 2
-#define CV_INTER_AREA 3
-
-#define CV_WARP_FILL_OUTLIERS 8
-#define CV_WARP_INVERSE_MAP 16
-
-/* Resizes image (input array is resized to fit the destination array) */
-CVAPI(void) cvResize( const CvArr* src, CvArr* dst,
- int interpolation CV_DEFAULT( CV_INTER_LINEAR ));
-
-/* Warps image with affine transform */
-CVAPI(void) cvWarpAffine( const CvArr* src, CvArr* dst, const CvMat* map_matrix,
- int flags CV_DEFAULT(CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS),
- CvScalar fillval CV_DEFAULT(cvScalarAll(0)) );
-
-/* Computes affine transform matrix for mapping src[i] to dst[i] (i=0,1,2) */
-CVAPI(CvMat*) cvGetAffineTransform( const CvPoint2D32f * src,
- const CvPoint2D32f * dst,
- CvMat * map_matrix );
-
-/* Computes rotation_matrix matrix */
-CVAPI(CvMat*) cv2DRotationMatrix( CvPoint2D32f center, double angle,
- double scale, CvMat* map_matrix );
-
-/* Warps image with perspective (projective) transform */
-CVAPI(void) cvWarpPerspective( const CvArr* src, CvArr* dst, const CvMat* map_matrix,
- int flags CV_DEFAULT(CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS),
- CvScalar fillval CV_DEFAULT(cvScalarAll(0)) );
-
-/* Computes perspective transform matrix for mapping src[i] to dst[i] (i=0,1,2,3) */
-CVAPI(CvMat*) cvGetPerspectiveTransform( const CvPoint2D32f* src,
- const CvPoint2D32f* dst,
- CvMat* map_matrix );
-
-/* Performs generic geometric transformation using the specified coordinate maps */
-CVAPI(void) cvRemap( const CvArr* src, CvArr* dst,
- const CvArr* mapx, const CvArr* mapy,
- int flags CV_DEFAULT(CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS),
- CvScalar fillval CV_DEFAULT(cvScalarAll(0)) );
-
-/* Performs forward or inverse log-polar image transform */
-CVAPI(void) cvLogPolar( const CvArr* src, CvArr* dst,
- CvPoint2D32f center, double M,
- int flags CV_DEFAULT(CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS));
-
-#define CV_SHAPE_RECT 0
-#define CV_SHAPE_CROSS 1
-#define CV_SHAPE_ELLIPSE 2
-#define CV_SHAPE_CUSTOM 100
-
-/* creates structuring element used for morphological operations */
-CVAPI(IplConvKernel*) cvCreateStructuringElementEx(
- int cols, int rows, int anchor_x, int anchor_y,
- int shape, int* values CV_DEFAULT(NULL) );
-
-/* releases structuring element */
-CVAPI(void) cvReleaseStructuringElement( IplConvKernel** element );
-
-/* erodes input image (applies minimum filter) one or more times.
- If element pointer is NULL, 3x3 rectangular element is used */
-CVAPI(void) cvErode( const CvArr* src, CvArr* dst,
- IplConvKernel* element CV_DEFAULT(NULL),
- int iterations CV_DEFAULT(1) );
-
-/* dilates input image (applies maximum filter) one or more times.
- If element pointer is NULL, 3x3 rectangular element is used */
-CVAPI(void) cvDilate( const CvArr* src, CvArr* dst,
- IplConvKernel* element CV_DEFAULT(NULL),
- int iterations CV_DEFAULT(1) );
-
-#define CV_MOP_OPEN 2
-#define CV_MOP_CLOSE 3
-#define CV_MOP_GRADIENT 4
-#define CV_MOP_TOPHAT 5
-#define CV_MOP_BLACKHAT 6
-
-/* Performs complex morphological transformation */
-CVAPI(void) cvMorphologyEx( const CvArr* src, CvArr* dst,
- CvArr* temp, IplConvKernel* element,
- int operation, int iterations CV_DEFAULT(1) );
-
-/* Calculates all spatial and central moments up to the 3rd order */
-CVAPI(void) cvMoments( const CvArr* arr, CvMoments* moments, int binary CV_DEFAULT(0));
-
-/* Retrieve particular spatial, central or normalized central moments */
-CVAPI(double) cvGetSpatialMoment( CvMoments* moments, int x_order, int y_order );
-CVAPI(double) cvGetCentralMoment( CvMoments* moments, int x_order, int y_order );
-CVAPI(double) cvGetNormalizedCentralMoment( CvMoments* moments,
- int x_order, int y_order );
-
-/* Calculates 7 Hu's invariants from precalculated spatial and central moments */
-CVAPI(void) cvGetHuMoments( CvMoments* moments, CvHuMoments* hu_moments );
-
-/*********************************** data sampling **************************************/
-
-/* Fetches pixels that belong to the specified line segment and stores them to the buffer.
- Returns the number of retrieved points. */
-CVAPI(int) cvSampleLine( const CvArr* image, CvPoint pt1, CvPoint pt2, void* buffer,
- int connectivity CV_DEFAULT(8));
-
-/* Retrieves the rectangular image region with specified center from the input array.
- dst(x,y) <- src(x + center.x - dst_width/2, y + center.y - dst_height/2).
- Values of pixels with fractional coordinates are retrieved using bilinear interpolation*/
-CVAPI(void) cvGetRectSubPix( const CvArr* src, CvArr* dst, CvPoint2D32f center );
-
-
-/* Retrieves quadrangle from the input array.
- matrixarr = ( a11 a12 | b1 ) dst(x,y) <- src(A[x y]' + b)
- ( a21 a22 | b2 ) (bilinear interpolation is used to retrieve pixels
- with fractional coordinates)
-*/
-CVAPI(void) cvGetQuadrangleSubPix( const CvArr* src, CvArr* dst,
- const CvMat* map_matrix );
-
-/* Methods for comparing two array */
-#define CV_TM_SQDIFF 0
-#define CV_TM_SQDIFF_NORMED 1
-#define CV_TM_CCORR 2
-#define CV_TM_CCORR_NORMED 3
-#define CV_TM_CCOEFF 4
-#define CV_TM_CCOEFF_NORMED 5
-
-/* Measures similarity between template and overlapped windows in the source image
- and fills the resultant image with the measurements */
-CVAPI(void) cvMatchTemplate( const CvArr* image, const CvArr* templ,
- CvArr* result, int method );
-
-/* Computes earth mover distance between
- two weighted point sets (called signatures) */
-CVAPI(float) cvCalcEMD2( const CvArr* signature1,
- const CvArr* signature2,
- int distance_type,
- CvDistanceFunction distance_func CV_DEFAULT(NULL),
- const CvArr* cost_matrix CV_DEFAULT(NULL),
- CvArr* flow CV_DEFAULT(NULL),
- float* lower_bound CV_DEFAULT(NULL),
- void* userdata CV_DEFAULT(NULL));
-
-/****************************************************************************************\
-* Contours retrieving *
-\****************************************************************************************/
-
-/* Retrieves outer and optionally inner boundaries of white (non-zero) connected
- components in the black (zero) background */
-CVAPI(int) cvFindContours( CvArr* image, CvMemStorage* storage, CvSeq** first_contour,
- int header_size CV_DEFAULT(sizeof(CvContour)),
- int mode CV_DEFAULT(CV_RETR_LIST),
- int method CV_DEFAULT(CV_CHAIN_APPROX_SIMPLE),
- CvPoint offset CV_DEFAULT(cvPoint(0,0)));
-
-
-/* Initalizes contour retrieving process.
- Calls cvStartFindContours.
- Calls cvFindNextContour until null pointer is returned
- or some other condition becomes true.
- Calls cvEndFindContours at the end. */
-CVAPI(CvContourScanner) cvStartFindContours( CvArr* image, CvMemStorage* storage,
- int header_size CV_DEFAULT(sizeof(CvContour)),
- int mode CV_DEFAULT(CV_RETR_LIST),
- int method CV_DEFAULT(CV_CHAIN_APPROX_SIMPLE),
- CvPoint offset CV_DEFAULT(cvPoint(0,0)));
-
-/* Retrieves next contour */
-CVAPI(CvSeq*) cvFindNextContour( CvContourScanner scanner );
-
-
-/* Substitutes the last retrieved contour with the new one
- (if the substitutor is null, the last retrieved contour is removed from the tree) */
-CVAPI(void) cvSubstituteContour( CvContourScanner scanner, CvSeq* new_contour );
-
-
-/* Releases contour scanner and returns pointer to the first outer contour */
-CVAPI(CvSeq*) cvEndFindContours( CvContourScanner* scanner );
-
-/* Approximates a single Freeman chain or a tree of chains to polygonal curves */
-CVAPI(CvSeq*) cvApproxChains( CvSeq* src_seq, CvMemStorage* storage,
- int method CV_DEFAULT(CV_CHAIN_APPROX_SIMPLE),
- double parameter CV_DEFAULT(0),
- int minimal_perimeter CV_DEFAULT(0),
- int recursive CV_DEFAULT(0));
-
-
-/* Initalizes Freeman chain reader.
- The reader is used to iteratively get coordinates of all the chain points.
- If the Freeman codes should be read as is, a simple sequence reader should be used */
-CVAPI(void) cvStartReadChainPoints( CvChain* chain, CvChainPtReader* reader );
-
-/* Retrieves the next chain point */
-CVAPI(CvPoint) cvReadChainPoint( CvChainPtReader* reader );
-
-
-/****************************************************************************************\
-* Motion Analysis *
-\****************************************************************************************/
-
-/************************************ optical flow ***************************************/
-
-/* Calculates optical flow for 2 images using classical Lucas & Kanade algorithm */
-CVAPI(void) cvCalcOpticalFlowLK( const CvArr* prev, const CvArr* curr,
- CvSize win_size, CvArr* velx, CvArr* vely );
-
-/* Calculates optical flow for 2 images using block matching algorithm */
-CVAPI(void) cvCalcOpticalFlowBM( const CvArr* prev, const CvArr* curr,
- CvSize block_size, CvSize shift_size,
- CvSize max_range, int use_previous,
- CvArr* velx, CvArr* vely );
-
-/* Calculates Optical flow for 2 images using Horn & Schunck algorithm */
-CVAPI(void) cvCalcOpticalFlowHS( const CvArr* prev, const CvArr* curr,
- int use_previous, CvArr* velx, CvArr* vely,
- double lambda, CvTermCriteria criteria );
-
-#define CV_LKFLOW_PYR_A_READY 1
-#define CV_LKFLOW_PYR_B_READY 2
-#define CV_LKFLOW_INITIAL_GUESSES 4
-#define CV_LKFLOW_GET_MIN_EIGENVALS 8
-
-/* It is Lucas & Kanade method, modified to use pyramids.
- Also it does several iterations to get optical flow for
- every point at every pyramid level.
- Calculates optical flow between two images for certain set of points (i.e.
- it is a "sparse" optical flow, which is opposite to the previous 3 methods) */
-CVAPI(void) cvCalcOpticalFlowPyrLK( const CvArr* prev, const CvArr* curr,
- CvArr* prev_pyr, CvArr* curr_pyr,
- const CvPoint2D32f* prev_features,
- CvPoint2D32f* curr_features,
- int count,
- CvSize win_size,
- int level,
- char* status,
- float* track_error,
- CvTermCriteria criteria,
- int flags );
-
-
-/* Modification of a previous sparse optical flow algorithm to calculate
- affine flow */
-CVAPI(void) cvCalcAffineFlowPyrLK( const CvArr* prev, const CvArr* curr,
- CvArr* prev_pyr, CvArr* curr_pyr,
- const CvPoint2D32f* prev_features,
- CvPoint2D32f* curr_features,
- float* matrices, int count,
- CvSize win_size, int level,
- char* status, float* track_error,
- CvTermCriteria criteria, int flags );
-
-/* Estimate rigid transformation between 2 images or 2 point sets */
-CVAPI(int) cvEstimateRigidTransform( const CvArr* A, const CvArr* B,
- CvMat* M, int full_affine );
-
-/********************************* motion templates *************************************/
-
-/****************************************************************************************\
-* All the motion template functions work only with single channel images. *
-* Silhouette image must have depth IPL_DEPTH_8U or IPL_DEPTH_8S *
-* Motion history image must have depth IPL_DEPTH_32F, *
-* Gradient mask - IPL_DEPTH_8U or IPL_DEPTH_8S, *
-* Motion orientation image - IPL_DEPTH_32F *
-* Segmentation mask - IPL_DEPTH_32F *
-* All the angles are in degrees, all the times are in milliseconds *
-\****************************************************************************************/
-
-/* Updates motion history image given motion silhouette */
-CVAPI(void) cvUpdateMotionHistory( const CvArr* silhouette, CvArr* mhi,
- double timestamp, double duration );
-
-/* Calculates gradient of the motion history image and fills
- a mask indicating where the gradient is valid */
-CVAPI(void) cvCalcMotionGradient( const CvArr* mhi, CvArr* mask, CvArr* orientation,
- double delta1, double delta2,
- int aperture_size CV_DEFAULT(3));
-
-/* Calculates average motion direction within a selected motion region
- (region can be selected by setting ROIs and/or by composing a valid gradient mask
- with the region mask) */
-CVAPI(double) cvCalcGlobalOrientation( const CvArr* orientation, const CvArr* mask,
- const CvArr* mhi, double timestamp,
- double duration );
-
-/* Splits a motion history image into a few parts corresponding to separate independent motions
- (e.g. left hand, right hand) */
-CVAPI(CvSeq*) cvSegmentMotion( const CvArr* mhi, CvArr* seg_mask,
- CvMemStorage* storage,
- double timestamp, double seg_thresh );
-
-/*********************** Background statistics accumulation *****************************/
-
-/* Adds image to accumulator */
-CVAPI(void) cvAcc( const CvArr* image, CvArr* sum,
- const CvArr* mask CV_DEFAULT(NULL) );
-
-/* Adds squared image to accumulator */
-CVAPI(void) cvSquareAcc( const CvArr* image, CvArr* sqsum,
- const CvArr* mask CV_DEFAULT(NULL) );
-
-/* Adds a product of two images to accumulator */
-CVAPI(void) cvMultiplyAcc( const CvArr* image1, const CvArr* image2, CvArr* acc,
- const CvArr* mask CV_DEFAULT(NULL) );
-
-/* Adds image to accumulator with weights: acc = acc*(1-alpha) + image*alpha */
-CVAPI(void) cvRunningAvg( const CvArr* image, CvArr* acc, double alpha,
- const CvArr* mask CV_DEFAULT(NULL) );
-
-
-/****************************************************************************************\
-* Tracking *
-\****************************************************************************************/
-
-/* Implements CAMSHIFT algorithm - determines object position, size and orientation
- from the object histogram back project (extension of meanshift) */
-CVAPI(int) cvCamShift( const CvArr* prob_image, CvRect window,
- CvTermCriteria criteria, CvConnectedComp* comp,
- CvBox2D* box CV_DEFAULT(NULL) );
-
-/* Implements MeanShift algorithm - determines object position
- from the object histogram back project */
-CVAPI(int) cvMeanShift( const CvArr* prob_image, CvRect window,
- CvTermCriteria criteria, CvConnectedComp* comp );
-
-/* Creates ConDensation filter state */
-CVAPI(CvConDensation*) cvCreateConDensation( int dynam_params,
- int measure_params,
- int sample_count );
-
-/* Releases ConDensation filter state */
-CVAPI(void) cvReleaseConDensation( CvConDensation** condens );
-
-/* Updates ConDensation filter by time (predict future state of the system) */
-CVAPI(void) cvConDensUpdateByTime( CvConDensation* condens);
-
-/* Initializes ConDensation filter samples */
-CVAPI(void) cvConDensInitSampleSet( CvConDensation* condens, CvMat* lower_bound, CvMat* upper_bound );
-
-/* Creates Kalman filter and sets A, B, Q, R and state to some initial values */
-CVAPI(CvKalman*) cvCreateKalman( int dynam_params, int measure_params,
- int control_params CV_DEFAULT(0));
-
-/* Releases Kalman filter state */
-CVAPI(void) cvReleaseKalman( CvKalman** kalman);
-
-/* Updates Kalman filter by time (predicts future state of the system) */
-CVAPI(const CvMat*) cvKalmanPredict( CvKalman* kalman,
- const CvMat* control CV_DEFAULT(NULL));
-
-/* Updates Kalman filter by measurement
- (corrects state of the system and internal matrices) */
-CVAPI(const CvMat*) cvKalmanCorrect( CvKalman* kalman, const CvMat* measurement );
-
-/****************************************************************************************\
-* Planar subdivisions *
-\****************************************************************************************/
-
-/* Initializes Delaunay triangulation */
-CVAPI(void) cvInitSubdivDelaunay2D( CvSubdiv2D* subdiv, CvRect rect );
-
-/* Creates new subdivision */
-CVAPI(CvSubdiv2D*) cvCreateSubdiv2D( int subdiv_type, int header_size,
- int vtx_size, int quadedge_size,
- CvMemStorage* storage );
-
-/************************* high-level subdivision functions ***************************/
-
-/* Simplified Delaunay diagram creation */
-CV_INLINE CvSubdiv2D* cvCreateSubdivDelaunay2D( CvRect rect, CvMemStorage* storage )
-{
- CvSubdiv2D* subdiv = cvCreateSubdiv2D( CV_SEQ_KIND_SUBDIV2D, sizeof(*subdiv),
- sizeof(CvSubdiv2DPoint), sizeof(CvQuadEdge2D), storage );
-
- cvInitSubdivDelaunay2D( subdiv, rect );
- return subdiv;
-}
-
-
-/* Inserts new point to the Delaunay triangulation */
-CVAPI(CvSubdiv2DPoint*) cvSubdivDelaunay2DInsert( CvSubdiv2D* subdiv, CvPoint2D32f pt);
-
-/* Locates a point within the Delaunay triangulation (finds the edge
- the point is left to or belongs to, or the triangulation point the given
- point coinsides with */
-CVAPI(CvSubdiv2DPointLocation) cvSubdiv2DLocate(
- CvSubdiv2D* subdiv, CvPoint2D32f pt,
- CvSubdiv2DEdge* edge,
- CvSubdiv2DPoint** vertex CV_DEFAULT(NULL) );
-
-/* Calculates Voronoi tesselation (i.e. coordinates of Voronoi points) */
-CVAPI(void) cvCalcSubdivVoronoi2D( CvSubdiv2D* subdiv );
-
-
-/* Removes all Voronoi points from the tesselation */
-CVAPI(void) cvClearSubdivVoronoi2D( CvSubdiv2D* subdiv );
-
-
-/* Finds the nearest to the given point vertex in subdivision. */
-CVAPI(CvSubdiv2DPoint*) cvFindNearestPoint2D( CvSubdiv2D* subdiv, CvPoint2D32f pt );
-
-
-/************ Basic quad-edge navigation and operations ************/
-
-CV_INLINE CvSubdiv2DEdge cvSubdiv2DNextEdge( CvSubdiv2DEdge edge )
-{
- return CV_SUBDIV2D_NEXT_EDGE(edge);
-}
-
-
-CV_INLINE CvSubdiv2DEdge cvSubdiv2DRotateEdge( CvSubdiv2DEdge edge, int rotate )
-{
- return (edge & ~3) + ((edge + rotate) & 3);
-}
-
-CV_INLINE CvSubdiv2DEdge cvSubdiv2DSymEdge( CvSubdiv2DEdge edge )
-{
- return edge ^ 2;
-}
-
-CV_INLINE CvSubdiv2DEdge cvSubdiv2DGetEdge( CvSubdiv2DEdge edge, CvNextEdgeType type )
-{
- CvQuadEdge2D* e = (CvQuadEdge2D*)(edge & ~3);
- edge = e->next[(edge + (int)type) & 3];
- return (edge & ~3) + ((edge + ((int)type >> 4)) & 3);
-}
-
-
-CV_INLINE CvSubdiv2DPoint* cvSubdiv2DEdgeOrg( CvSubdiv2DEdge edge )
-{
- CvQuadEdge2D* e = (CvQuadEdge2D*)(edge & ~3);
- return (CvSubdiv2DPoint*)e->pt[edge & 3];
-}
-
-
-CV_INLINE CvSubdiv2DPoint* cvSubdiv2DEdgeDst( CvSubdiv2DEdge edge )
-{
- CvQuadEdge2D* e = (CvQuadEdge2D*)(edge & ~3);
- return (CvSubdiv2DPoint*)e->pt[(edge + 2) & 3];
-}
-
-
-CV_INLINE double cvTriangleArea( CvPoint2D32f a, CvPoint2D32f b, CvPoint2D32f c )
-{
- return (b.x - a.x) * (c.y - a.y) - (b.y - a.y) * (c.x - a.x);
-}
-
-
-/****************************************************************************************\
-* Contour Processing and Shape Analysis *
-\****************************************************************************************/
-
-#define CV_POLY_APPROX_DP 0
-
-/* Approximates a single polygonal curve (contour) or
- a tree of polygonal curves (contours) */
-CVAPI(CvSeq*) cvApproxPoly( const void* src_seq,
- int header_size, CvMemStorage* storage,
- int method, double parameter,
- int parameter2 CV_DEFAULT(0));
-
-#define CV_DOMINANT_IPAN 1
-
-/* Finds high-curvature points of the contour */
-CVAPI(CvSeq*) cvFindDominantPoints( CvSeq* contour, CvMemStorage* storage,
- int method CV_DEFAULT(CV_DOMINANT_IPAN),
- double parameter1 CV_DEFAULT(0),
- double parameter2 CV_DEFAULT(0),
- double parameter3 CV_DEFAULT(0),
- double parameter4 CV_DEFAULT(0));
-
-/* Calculates perimeter of a contour or length of a part of contour */
-CVAPI(double) cvArcLength( const void* curve,
- CvSlice slice CV_DEFAULT(CV_WHOLE_SEQ),
- int is_closed CV_DEFAULT(-1));
-#define cvContourPerimeter( contour ) cvArcLength( contour, CV_WHOLE_SEQ, 1 )
-
-/* Calculates contour boundning rectangle (update=1) or
- just retrieves pre-calculated rectangle (update=0) */
-CVAPI(CvRect) cvBoundingRect( CvArr* points, int update CV_DEFAULT(0) );
-
-/* Calculates area of a contour or contour segment */
-CVAPI(double) cvContourArea( const CvArr* contour,
- CvSlice slice CV_DEFAULT(CV_WHOLE_SEQ));
-
-/* Finds minimum area rotated rectangle bounding a set of points */
-CVAPI(CvBox2D) cvMinAreaRect2( const CvArr* points,
- CvMemStorage* storage CV_DEFAULT(NULL));
-
-/* Finds minimum enclosing circle for a set of points */
-CVAPI(int) cvMinEnclosingCircle( const CvArr* points,
- CvPoint2D32f* center, float* radius );
-
-#define CV_CONTOURS_MATCH_I1 1
-#define CV_CONTOURS_MATCH_I2 2
-#define CV_CONTOURS_MATCH_I3 3
-
-/* Compares two contours by matching their moments */
-CVAPI(double) cvMatchShapes( const void* object1, const void* object2,
- int method, double parameter CV_DEFAULT(0));
-
-/* Builds hierarhical representation of a contour */
-CVAPI(CvContourTree*) cvCreateContourTree( const CvSeq* contour,
- CvMemStorage* storage,
- double threshold );
-
-/* Reconstruct (completelly or partially) contour a from contour tree */
-CVAPI(CvSeq*) cvContourFromContourTree( const CvContourTree* tree,
- CvMemStorage* storage,
- CvTermCriteria criteria );
-
-/* Compares two contour trees */
-#define CV_CONTOUR_TREES_MATCH_I1 1
-
-CVAPI(double) cvMatchContourTrees( const CvContourTree* tree1,
- const CvContourTree* tree2,
- int method, double threshold );
-
-/* Calculates histogram of a contour */
-CVAPI(void) cvCalcPGH( const CvSeq* contour, CvHistogram* hist );
-
-#define CV_CLOCKWISE 1
-#define CV_COUNTER_CLOCKWISE 2
-
-/* Calculates exact convex hull of 2d point set */
-CVAPI(CvSeq*) cvConvexHull2( const CvArr* input,
- void* hull_storage CV_DEFAULT(NULL),
- int orientation CV_DEFAULT(CV_CLOCKWISE),
- int return_points CV_DEFAULT(0));
-
-/* Checks whether the contour is convex or not (returns 1 if convex, 0 if not) */
-CVAPI(int) cvCheckContourConvexity( const CvArr* contour );
-
-/* Finds convexity defects for the contour */
-CVAPI(CvSeq*) cvConvexityDefects( const CvArr* contour, const CvArr* convexhull,
- CvMemStorage* storage CV_DEFAULT(NULL));
-
-/* Fits ellipse into a set of 2d points */
-CVAPI(CvBox2D) cvFitEllipse2( const CvArr* points );
-
-/* Finds minimum rectangle containing two given rectangles */
-CVAPI(CvRect) cvMaxRect( const CvRect* rect1, const CvRect* rect2 );
-
-/* Finds coordinates of the box vertices */
-CVAPI(void) cvBoxPoints( CvBox2D box, CvPoint2D32f pt[4] );
-
-/* Initializes sequence header for a matrix (column or row vector) of points -
- a wrapper for cvMakeSeqHeaderForArray (it does not initialize bounding rectangle!!!) */
-CVAPI(CvSeq*) cvPointSeqFromMat( int seq_kind, const CvArr* mat,
- CvContour* contour_header,
- CvSeqBlock* block );
-
-/* Checks whether the point is inside polygon, outside, on an edge (at a vertex).
- Returns positive, negative or zero value, correspondingly.
- Optionally, measures a signed distance between
- the point and the nearest polygon edge (measure_dist=1) */
-CVAPI(double) cvPointPolygonTest( const CvArr* contour,
- CvPoint2D32f pt, int measure_dist );
-
-/****************************************************************************************\
-* Histogram functions *
-\****************************************************************************************/
-
-/* Creates new histogram */
-CVAPI(CvHistogram*) cvCreateHist( int dims, int* sizes, int type,
- float** ranges CV_DEFAULT(NULL),
- int uniform CV_DEFAULT(1));
-
-/* Assignes histogram bin ranges */
-CVAPI(void) cvSetHistBinRanges( CvHistogram* hist, float** ranges,
- int uniform CV_DEFAULT(1));
-
-/* Creates histogram header for array */
-CVAPI(CvHistogram*) cvMakeHistHeaderForArray(
- int dims, int* sizes, CvHistogram* hist,
- float* data, float** ranges CV_DEFAULT(NULL),
- int uniform CV_DEFAULT(1));
-
-/* Releases histogram */
-CVAPI(void) cvReleaseHist( CvHistogram** hist );
-
-/* Clears all the histogram bins */
-CVAPI(void) cvClearHist( CvHistogram* hist );
-
-/* Finds indices and values of minimum and maximum histogram bins */
-CVAPI(void) cvGetMinMaxHistValue( const CvHistogram* hist,
- float* min_value, float* max_value,
- int* min_idx CV_DEFAULT(NULL),
- int* max_idx CV_DEFAULT(NULL));
-
-
-/* Normalizes histogram by dividing all bins by sum of the bins, multiplied by <factor>.
- After that sum of histogram bins is equal to <factor> */
-CVAPI(void) cvNormalizeHist( CvHistogram* hist, double factor );
-
-
-/* Clear all histogram bins that are below the threshold */
-CVAPI(void) cvThreshHist( CvHistogram* hist, double threshold );
-
-#define CV_COMP_CORREL 0
-#define CV_COMP_CHISQR 1
-#define CV_COMP_INTERSECT 2
-#define CV_COMP_BHATTACHARYYA 3
-
-/* Compares two histogram */
-CVAPI(double) cvCompareHist( const CvHistogram* hist1,
- const CvHistogram* hist2,
- int method);
-
-/* Copies one histogram to another. Destination histogram is created if
- the destination pointer is NULL */
-CVAPI(void) cvCopyHist( const CvHistogram* src, CvHistogram** dst );
-
-
-/* Calculates bayesian probabilistic histograms
- (each or src and dst is an array of <number> histograms */
-CVAPI(void) cvCalcBayesianProb( CvHistogram** src, int number,
- CvHistogram** dst);
-
-/* Calculates array histogram */
-CVAPI(void) cvCalcArrHist( CvArr** arr, CvHistogram* hist,
- int accumulate CV_DEFAULT(0),
- const CvArr* mask CV_DEFAULT(NULL) );
-
-CV_INLINE void cvCalcHist( IplImage** image, CvHistogram* hist,
- int accumulate CV_DEFAULT(0),
- const CvArr* mask CV_DEFAULT(NULL) )
-{
- cvCalcArrHist( (CvArr**)image, hist, accumulate, mask );
-}
-
-/* Calculates back project */
-CVAPI(void) cvCalcArrBackProject( CvArr** image, CvArr* dst,
- const CvHistogram* hist );
-#define cvCalcBackProject(image, dst, hist) cvCalcArrBackProject((CvArr**)image, dst, hist)
-
-
-/* Does some sort of template matching but compares histograms of
- template and each window location */
-CVAPI(void) cvCalcArrBackProjectPatch( CvArr** image, CvArr* dst, CvSize range,
- CvHistogram* hist, int method,
- double factor );
-#define cvCalcBackProjectPatch( image, dst, range, hist, method, factor ) \
- cvCalcArrBackProjectPatch( (CvArr**)image, dst, range, hist, method, factor )
-
-
-/* calculates probabilistic density (divides one histogram by another) */
-CVAPI(void) cvCalcProbDensity( const CvHistogram* hist1, const CvHistogram* hist2,
- CvHistogram* dst_hist, double scale CV_DEFAULT(255) );
-
-/* equalizes histogram of 8-bit single-channel image */
-CVAPI(void) cvEqualizeHist( const CvArr* src, CvArr* dst );
-
-
-#define CV_VALUE 1
-#define CV_ARRAY 2
-/* Updates active contour in order to minimize its cummulative
- (internal and external) energy. */
-CVAPI(void) cvSnakeImage( const IplImage* image, CvPoint* points,
- int length, float* alpha,
- float* beta, float* gamma,
- int coeff_usage, CvSize win,
- CvTermCriteria criteria, int calc_gradient CV_DEFAULT(1));
-
-/* Calculates the cooficients of the homography matrix */
-CVAPI(void) cvCalcImageHomography( float* line, CvPoint3D32f* center,
- float* intrinsic, float* homography );
-
-#define CV_DIST_MASK_3 3
-#define CV_DIST_MASK_5 5
-#define CV_DIST_MASK_PRECISE 0
-
-/* Applies distance transform to binary image */
-CVAPI(void) cvDistTransform( const CvArr* src, CvArr* dst,
- int distance_type CV_DEFAULT(CV_DIST_L2),
- int mask_size CV_DEFAULT(3),
- const float* mask CV_DEFAULT(NULL),
- CvArr* labels CV_DEFAULT(NULL));
-
-
-/* Types of thresholding */
-#define CV_THRESH_BINARY 0 /* value = value > threshold ? max_value : 0 */
-#define CV_THRESH_BINARY_INV 1 /* value = value > threshold ? 0 : max_value */
-#define CV_THRESH_TRUNC 2 /* value = value > threshold ? threshold : value */
-#define CV_THRESH_TOZERO 3 /* value = value > threshold ? value : 0 */
-#define CV_THRESH_TOZERO_INV 4 /* value = value > threshold ? 0 : value */
-#define CV_THRESH_MASK 7
-
-#define CV_THRESH_OTSU 8 /* use Otsu algorithm to choose the optimal threshold value;
- combine the flag with one of the above CV_THRESH_* values */
-
-/* Applies fixed-level threshold to grayscale image.
- This is a basic operation applied before retrieving contours */
-CVAPI(double) cvThreshold( const CvArr* src, CvArr* dst,
- double threshold, double max_value,
- int threshold_type );
-
-#define CV_ADAPTIVE_THRESH_MEAN_C 0
-#define CV_ADAPTIVE_THRESH_GAUSSIAN_C 1
-
-/* Applies adaptive threshold to grayscale image.
- The two parameters for methods CV_ADAPTIVE_THRESH_MEAN_C and
- CV_ADAPTIVE_THRESH_GAUSSIAN_C are:
- neighborhood size (3, 5, 7 etc.),
- and a constant subtracted from mean (...,-3,-2,-1,0,1,2,3,...) */
-CVAPI(void) cvAdaptiveThreshold( const CvArr* src, CvArr* dst, double max_value,
- int adaptive_method CV_DEFAULT(CV_ADAPTIVE_THRESH_MEAN_C),
- int threshold_type CV_DEFAULT(CV_THRESH_BINARY),
- int block_size CV_DEFAULT(3),
- double param1 CV_DEFAULT(5));
-
-#define CV_FLOODFILL_FIXED_RANGE (1 << 16)
-#define CV_FLOODFILL_MASK_ONLY (1 << 17)
-
-/* Fills the connected component until the color difference gets large enough */
-CVAPI(void) cvFloodFill( CvArr* image, CvPoint seed_point,
- CvScalar new_val, CvScalar lo_diff CV_DEFAULT(cvScalarAll(0)),
- CvScalar up_diff CV_DEFAULT(cvScalarAll(0)),
- CvConnectedComp* comp CV_DEFAULT(NULL),
- int flags CV_DEFAULT(4),
- CvArr* mask CV_DEFAULT(NULL));
-
-/****************************************************************************************\
-* Feature detection *
-\****************************************************************************************/
-
-#define CV_CANNY_L2_GRADIENT (1 << 31)
-
-/* Runs canny edge detector */
-CVAPI(void) cvCanny( const CvArr* image, CvArr* edges, double threshold1,
- double threshold2, int aperture_size CV_DEFAULT(3) );
-
-/* Calculates constraint image for corner detection
- Dx^2 * Dyy + Dxx * Dy^2 - 2 * Dx * Dy * Dxy.
- Applying threshold to the result gives coordinates of corners */
-CVAPI(void) cvPreCornerDetect( const CvArr* image, CvArr* corners,
- int aperture_size CV_DEFAULT(3) );
-
-/* Calculates eigen values and vectors of 2x2
- gradient covariation matrix at every image pixel */
-CVAPI(void) cvCornerEigenValsAndVecs( const CvArr* image, CvArr* eigenvv,
- int block_size, int aperture_size CV_DEFAULT(3) );
-
-/* Calculates minimal eigenvalue for 2x2 gradient covariation matrix at
- every image pixel */
-CVAPI(void) cvCornerMinEigenVal( const CvArr* image, CvArr* eigenval,
- int block_size, int aperture_size CV_DEFAULT(3) );
-
-/* Harris corner detector:
- Calculates det(M) - k*(trace(M)^2), where M is 2x2 gradient covariation matrix for each pixel */
-CVAPI(void) cvCornerHarris( const CvArr* image, CvArr* harris_responce,
- int block_size, int aperture_size CV_DEFAULT(3),
- double k CV_DEFAULT(0.04) );
-
-/* Adjust corner position using some sort of gradient search */
-CVAPI(void) cvFindCornerSubPix( const CvArr* image, CvPoint2D32f* corners,
- int count, CvSize win, CvSize zero_zone,
- CvTermCriteria criteria );
-
-/* Finds a sparse set of points within the selected region
- that seem to be easy to track */
-CVAPI(void) cvGoodFeaturesToTrack( const CvArr* image, CvArr* eig_image,
- CvArr* temp_image, CvPoint2D32f* corners,
- int* corner_count, double quality_level,
- double min_distance,
- const CvArr* mask CV_DEFAULT(NULL),
- int block_size CV_DEFAULT(3),
- int use_harris CV_DEFAULT(0),
- double k CV_DEFAULT(0.04) );
-
-#define CV_HOUGH_STANDARD 0
-#define CV_HOUGH_PROBABILISTIC 1
-#define CV_HOUGH_MULTI_SCALE 2
-#define CV_HOUGH_GRADIENT 3
-
-/* Finds lines on binary image using one of several methods.
- line_storage is either memory storage or 1 x <max number of lines> CvMat, its
- number of columns is changed by the function.
- method is one of CV_HOUGH_*;
- rho, theta and threshold are used for each of those methods;
- param1 ~ line length, param2 ~ line gap - for probabilistic,
- param1 ~ srn, param2 ~ stn - for multi-scale */
-CVAPI(CvSeq*) cvHoughLines2( CvArr* image, void* line_storage, int method,
- double rho, double theta, int threshold,
- double param1 CV_DEFAULT(0), double param2 CV_DEFAULT(0));
-
-/* Finds circles in the image */
-CVAPI(CvSeq*) cvHoughCircles( CvArr* image, void* circle_storage,
- int method, double dp, double min_dist,
- double param1 CV_DEFAULT(100),
- double param2 CV_DEFAULT(100),
- int min_radius CV_DEFAULT(0),
- int max_radius CV_DEFAULT(0));
-
-/* Fits a line into set of 2d or 3d points in a robust way (M-estimator technique) */
-CVAPI(void) cvFitLine( const CvArr* points, int dist_type, double param,
- double reps, double aeps, float* line );
-
-
-
-struct CvFeatureTree;
-
-/* Constructs kd-tree from set of feature descriptors */
-CVAPI(CvFeatureTree*) cvCreateFeatureTree(CvMat* desc);
-
-/* Release kd-tree */
-CVAPI(void) cvReleaseFeatureTree(CvFeatureTree* tr);
-
-/* Searches kd-tree for k nearest neighbors of given reference points,
- searching at most emax leaves. */
-CVAPI(void) cvFindFeatures(CvFeatureTree* tr, CvMat* desc,
- CvMat* results, CvMat* dist, int k = 2, int emax = 20);
-
-/* Search kd-tree for all points that are inlier to given rect region. */
-CVAPI(int) cvFindFeaturesBoxed(CvFeatureTree* tr,
- CvMat* bounds_min, CvMat* bounds_max,
- CvMat* results);
-
-
-/****************************************************************************************\
-* Haar-like Object Detection functions *
-\****************************************************************************************/
-
-/* Loads haar classifier cascade from a directory.
- It is obsolete: convert your cascade to xml and use cvLoad instead */
-CVAPI(CvHaarClassifierCascade*) cvLoadHaarClassifierCascade(
- const char* directory, CvSize orig_window_size);
-
-CVAPI(void) cvReleaseHaarClassifierCascade( CvHaarClassifierCascade** cascade );
-
-#define CV_HAAR_DO_CANNY_PRUNING 1
-#define CV_HAAR_SCALE_IMAGE 2
-#define CV_HAAR_FIND_BIGGEST_OBJECT 4
-#define CV_HAAR_DO_ROUGH_SEARCH 8
-
-CVAPI(CvSeq*) cvHaarDetectObjects( const CvArr* image,
- CvHaarClassifierCascade* cascade,
- CvMemStorage* storage, double scale_factor CV_DEFAULT(1.1),
- int min_neighbors CV_DEFAULT(3), int flags CV_DEFAULT(0),
- CvSize min_size CV_DEFAULT(cvSize(0,0)));
-
-/* sets images for haar classifier cascade */
-CVAPI(void) cvSetImagesForHaarClassifierCascade( CvHaarClassifierCascade* cascade,
- const CvArr* sum, const CvArr* sqsum,
- const CvArr* tilted_sum, double scale );
-
-/* runs the cascade on the specified window */
-CVAPI(int) cvRunHaarClassifierCascade( CvHaarClassifierCascade* cascade,
- CvPoint pt, int start_stage CV_DEFAULT(0));
-
-/****************************************************************************************\
-* Camera Calibration and Rectification functions *
-\****************************************************************************************/
-
-/* transforms the input image to compensate lens distortion */
-CVAPI(void) cvUndistort2( const CvArr* src, CvArr* dst,
- const CvMat* intrinsic_matrix,
- const CvMat* distortion_coeffs );
-
-/* computes transformation map from intrinsic camera parameters
- that can used by cvRemap */
-CVAPI(void) cvInitUndistortMap( const CvMat* intrinsic_matrix,
- const CvMat* distortion_coeffs,
- CvArr* mapx, CvArr* mapy );
-
-/* converts rotation vector to rotation matrix or vice versa */
-CVAPI(int) cvRodrigues2( const CvMat* src, CvMat* dst,
- CvMat* jacobian CV_DEFAULT(0) );
-
-/* finds perspective transformation between the object plane and image (view) plane */
-CVAPI(void) cvFindHomography( const CvMat* src_points,
- const CvMat* dst_points,
- CvMat* homography );
-
-/* Computes RQ decomposition for 3x3 matrices */
-CVAPI(void) cvRQDecomp3x3( const CvMat *matrixM, CvMat *matrixR, CvMat *matrixQ,
- CvMat *matrixQx CV_DEFAULT(NULL),
- CvMat *matrixQy CV_DEFAULT(NULL),
- CvMat *matrixQz CV_DEFAULT(NULL),
- CvPoint3D64f *eulerAngles CV_DEFAULT(NULL));
-
-/* Computes projection matrix decomposition */
-CVAPI(void) cvDecomposeProjectionMatrix( const CvMat *projMatr, CvMat *calibMatr,
- CvMat *rotMatr, CvMat *posVect,
- CvMat *rotMatrX CV_DEFAULT(NULL),
- CvMat *rotMatrY CV_DEFAULT(NULL),
- CvMat *rotMatrZ CV_DEFAULT(NULL),
- CvPoint3D64f *eulerAngles CV_DEFAULT(NULL));
-
-/* projects object points to the view plane using
- the specified extrinsic and intrinsic camera parameters */
-CVAPI(void) cvProjectPoints2( const CvMat* object_points, const CvMat* rotation_vector,
- const CvMat* translation_vector, const CvMat* intrinsic_matrix,
- const CvMat* distortion_coeffs, CvMat* image_points,
- CvMat* dpdrot CV_DEFAULT(NULL), CvMat* dpdt CV_DEFAULT(NULL),
- CvMat* dpdf CV_DEFAULT(NULL), CvMat* dpdc CV_DEFAULT(NULL),
- CvMat* dpddist CV_DEFAULT(NULL) );
-
-/* finds extrinsic camera parameters from
- a few known corresponding point pairs and intrinsic parameters */
-CVAPI(void) cvFindExtrinsicCameraParams2( const CvMat* object_points,
- const CvMat* image_points,
- const CvMat* intrinsic_matrix,
- const CvMat* distortion_coeffs,
- CvMat* rotation_vector,
- CvMat* translation_vector );
-
-#define CV_CALIB_USE_INTRINSIC_GUESS 1
-#define CV_CALIB_FIX_ASPECT_RATIO 2
-#define CV_CALIB_FIX_PRINCIPAL_POINT 4
-#define CV_CALIB_ZERO_TANGENT_DIST 8
-
-/* finds intrinsic and extrinsic camera parameters
- from a few views of known calibration pattern */
-CVAPI(void) cvCalibrateCamera2( const CvMat* object_points,
- const CvMat* image_points,
- const CvMat* point_counts,
- CvSize image_size,
- CvMat* intrinsic_matrix,
- CvMat* distortion_coeffs,
- CvMat* rotation_vectors CV_DEFAULT(NULL),
- CvMat* translation_vectors CV_DEFAULT(NULL),
- int flags CV_DEFAULT(0) );
-
-CVAPI(void) cvCalibrationMatrixValues( const CvMat *calibMatr,
- int imgWidth, int imgHeight,
- double apertureWidth CV_DEFAULT(0),
- double apertureHeight CV_DEFAULT(0),
- double *fovx CV_DEFAULT(NULL),
- double *fovy CV_DEFAULT(NULL),
- double *focalLength CV_DEFAULT(NULL),
- CvPoint2D64f *principalPoint CV_DEFAULT(NULL),
- double *pixelAspectRatio CV_DEFAULT(NULL));
-
-#define CV_CALIB_CB_ADAPTIVE_THRESH 1
-#define CV_CALIB_CB_NORMALIZE_IMAGE 2
-#define CV_CALIB_CB_FILTER_QUADS 4
-
-/* Detects corners on a chessboard calibration pattern */
-CVAPI(int) cvFindChessboardCorners( const void* image, CvSize pattern_size,
- CvPoint2D32f* corners,
- int* corner_count CV_DEFAULT(NULL),
- int flags CV_DEFAULT(CV_CALIB_CB_ADAPTIVE_THRESH) );
-
-/* Draws individual chessboard corners or the whole chessboard detected */
-CVAPI(void) cvDrawChessboardCorners( CvArr* image, CvSize pattern_size,
- CvPoint2D32f* corners,
- int count, int pattern_was_found );
-
-typedef struct CvPOSITObject CvPOSITObject;
-
-/* Allocates and initializes CvPOSITObject structure before doing cvPOSIT */
-CVAPI(CvPOSITObject*) cvCreatePOSITObject( CvPoint3D32f* points, int point_count );
-
-
-/* Runs POSIT (POSe from ITeration) algorithm for determining 3d position of
- an object given its model and projection in a weak-perspective case */
-CVAPI(void) cvPOSIT( CvPOSITObject* posit_object, CvPoint2D32f* image_points,
- double focal_length, CvTermCriteria criteria,
- CvMatr32f rotation_matrix, CvVect32f translation_vector);
-
-/* Releases CvPOSITObject structure */
-CVAPI(void) cvReleasePOSITObject( CvPOSITObject** posit_object );
-
-
-/****************************************************************************************\
-* Epipolar Geometry *
-\****************************************************************************************/
-
-/* updates the number of RANSAC iterations */
-CVAPI(int) cvRANSACUpdateNumIters( double p, double err_prob,
- int model_points, int max_iters );
-
-CVAPI(void) cvConvertPointsHomogenious( const CvMat* src, CvMat* dst );
-
-/* Calculates fundamental matrix given a set of corresponding points */
-#define CV_FM_7POINT 1
-#define CV_FM_8POINT 2
-#define CV_FM_LMEDS_ONLY 4
-#define CV_FM_RANSAC_ONLY 8
-#define CV_FM_LMEDS (CV_FM_LMEDS_ONLY + CV_FM_8POINT)
-#define CV_FM_RANSAC (CV_FM_RANSAC_ONLY + CV_FM_8POINT)
-CVAPI(int) cvFindFundamentalMat( const CvMat* points1, const CvMat* points2,
- CvMat* fundamental_matrix,
- int method CV_DEFAULT(CV_FM_RANSAC),
- double param1 CV_DEFAULT(1.), double param2 CV_DEFAULT(0.99),
- CvMat* status CV_DEFAULT(NULL) );
-
-/* For each input point on one of images
- computes parameters of the corresponding
- epipolar line on the other image */
-CVAPI(void) cvComputeCorrespondEpilines( const CvMat* points,
- int which_image,
- const CvMat* fundamental_matrix,
- CvMat* correspondent_lines );
-
-#ifdef __cplusplus
-}
-#endif
-
-#ifdef __cplusplus
-#include "cv.hpp"
-#endif
-
-/****************************************************************************************\
-* Backward compatibility *
-\****************************************************************************************/
-
-#ifndef CV_NO_BACKWARD_COMPATIBILITY
-#include "cvcompat.h"
-#endif
-
-#endif /*_CV_H_*/
projects / opencv / blobdiff