cvaux.h

chopencv-2.3.0-win opencv学习资料 有意者下

    CV_GRAPH_WEIGHTED_VERTEX_FIELDS()
}
CvGraphWeightedVtx;

typedef struct CvGraphWeightedEdge
{
    CV_GRAPH_WEIGHTED_EDGE_FIELDS()
}
CvGraphWeightedEdge;

typedef enum CvGraphWeightType
{
    CV_NOT_WEIGHTED,
    CV_WEIGHTED_VTX,
    CV_WEIGHTED_EDGE,
    CV_WEIGHTED_ALL
} CvGraphWeightType;


/*****************************************************************************************/


/*******************************Stereo correspondence*************************************/

typedef struct CvCliqueFinder
{   
    CvGraph* graph;
    int**    adj_matr;
    int N; //graph size

    // stacks, counters etc/
    int k; //stack size
    int* current_comp;
    int** All;
    
    int* ne;
    int* ce;
    int* fixp; //node with minimal disconnections
    int* nod;
    int* s; //for selected candidate
    int status;
    int best_score;
    int weighted;
    int weighted_edges;    
    float best_weight;
    float* edge_weights;
    float* vertex_weights;
    float* cur_weight;
    float* cand_weight;

} CvCliqueFinder;

#define CLIQUE_TIME_OFF 2
#define CLIQUE_FOUND 1
#define CLIQUE_END   0

/*CVAPI(void) cvStartFindCliques( CvGraph* graph, CvCliqueFinder* finder, int reverse, 
                                   int weighted CV_DEFAULT(0),  int weighted_edges CV_DEFAULT(0));
CVAPI(int) cvFindNextMaximalClique( CvCliqueFinder* finder, int* clock_rest CV_DEFAULT(0) ); 
CVAPI(void) cvEndFindCliques( CvCliqueFinder* finder );

CVAPI(void) cvBronKerbosch( CvGraph* graph );*/


/*F///////////////////////////////////////////////////////////////////////////////////////
//
//    Name:    cvSubgraphWeight
//    Purpose: finds weight of subgraph in a graph
//    Context:
//    Parameters:
//      graph - input graph.
//      subgraph - sequence of pairwise different ints.  These are indices of vertices of subgraph.
//      weight_type - describes the way we measure weight.
//            one of the following:
//            CV_NOT_WEIGHTED - weight of a clique is simply its size
//            CV_WEIGHTED_VTX - weight of a clique is the sum of weights of its vertices
//            CV_WEIGHTED_EDGE - the same but edges
//            CV_WEIGHTED_ALL - the same but both edges and vertices
//      weight_vtx - optional vector of floats, with size = graph->total.
//            If weight_type is either CV_WEIGHTED_VTX or CV_WEIGHTED_ALL
//            weights of vertices must be provided.  If weight_vtx not zero
//            these weights considered to be here, otherwise function assumes
//            that vertices of graph are inherited from CvGraphWeightedVtx.
//      weight_edge - optional matrix of floats, of width and height = graph->total.
//            If weight_type is either CV_WEIGHTED_EDGE or CV_WEIGHTED_ALL
//            weights of edges ought to be supplied.  If weight_edge is not zero
//            function finds them here, otherwise function expects
//            edges of graph to be inherited from CvGraphWeightedEdge.
//            If this parameter is not zero structure of the graph is determined from matrix
//            rather than from CvGraphEdge's.  In particular, elements corresponding to
//            absent edges should be zero.
//    Returns:
//      weight of subgraph.
//    Notes:
//F*/
/*CVAPI(float) cvSubgraphWeight( CvGraph *graph, CvSeq *subgraph,
                                  CvGraphWeightType weight_type CV_DEFAULT(CV_NOT_WEIGHTED),
                                  CvVect32f weight_vtx CV_DEFAULT(0),
                                  CvMatr32f weight_edge CV_DEFAULT(0) );*/


/*F///////////////////////////////////////////////////////////////////////////////////////
//
//    Name:    cvFindCliqueEx
//    Purpose: tries to find clique with maximum possible weight in a graph
//    Context:
//    Parameters:
//      graph - input graph.
//      storage - memory storage to be used by the result.
//      is_complementary - optional flag showing whether function should seek for clique
//            in complementary graph.
//      weight_type - describes our notion about weight.
//            one of the following:
//            CV_NOT_WEIGHTED - weight of a clique is simply its size
//            CV_WEIGHTED_VTX - weight of a clique is the sum of weights of its vertices
//            CV_WEIGHTED_EDGE - the same but edges
//            CV_WEIGHTED_ALL - the same but both edges and vertices
//      weight_vtx - optional vector of floats, with size = graph->total.
//            If weight_type is either CV_WEIGHTED_VTX or CV_WEIGHTED_ALL
//            weights of vertices must be provided.  If weight_vtx not zero
//            these weights considered to be here, otherwise function assumes
//            that vertices of graph are inherited from CvGraphWeightedVtx.
//      weight_edge - optional matrix of floats, of width and height = graph->total.
//            If weight_type is either CV_WEIGHTED_EDGE or CV_WEIGHTED_ALL
//            weights of edges ought to be supplied.  If weight_edge is not zero
//            function finds them here, otherwise function expects
//            edges of graph to be inherited from CvGraphWeightedEdge.
//            Note that in case of CV_WEIGHTED_EDGE or CV_WEIGHTED_ALL
//            nonzero is_complementary implies nonzero weight_edge.
//      start_clique - optional sequence of pairwise different ints.  They are indices of
//            vertices that shall be present in the output clique.
//      subgraph_of_ban - optional sequence of (maybe equal) ints.  They are indices of
//            vertices that shall not be present in the output clique.
//      clique_weight_ptr - optional output parameter.  Weight of found clique stored here.
//      num_generations - optional number of generations in evolutionary part of algorithm,
//            zero forces to return first found clique.
//      quality - optional parameter determining degree of required quality/speed tradeoff.
//            Must be in the range from 0 to 9.
//            0 is fast and dirty, 9 is slow but hopefully yields good clique.
//    Returns:
//      sequence of pairwise different ints.
//      These are indices of vertices that form found clique.
//    Notes:
//      in cases of CV_WEIGHTED_EDGE and CV_WEIGHTED_ALL weights should be nonnegative.
//      start_clique has a priority over subgraph_of_ban.
//F*/
/*CVAPI(CvSeq*) cvFindCliqueEx( CvGraph *graph, CvMemStorage *storage,
                                 int is_complementary CV_DEFAULT(0),
                                 CvGraphWeightType weight_type CV_DEFAULT(CV_NOT_WEIGHTED),
                                 CvVect32f weight_vtx CV_DEFAULT(0),
                                 CvMatr32f weight_edge CV_DEFAULT(0),
                                 CvSeq *start_clique CV_DEFAULT(0),
                                 CvSeq *subgraph_of_ban CV_DEFAULT(0),
                                 float *clique_weight_ptr CV_DEFAULT(0),
                                 int num_generations CV_DEFAULT(3),
                                 int quality CV_DEFAULT(2) );*/


#define CV_UNDEF_SC_PARAM         12345 //default value of parameters

#define CV_IDP_BIRCHFIELD_PARAM1  25    
#define CV_IDP_BIRCHFIELD_PARAM2  5
#define CV_IDP_BIRCHFIELD_PARAM3  12
#define CV_IDP_BIRCHFIELD_PARAM4  15
#define CV_IDP_BIRCHFIELD_PARAM5  25


#define  CV_DISPARITY_BIRCHFIELD  0    


/*F///////////////////////////////////////////////////////////////////////////
//
//    Name:    cvFindStereoCorrespondence
//    Purpose: find stereo correspondence on stereo-pair
//    Context:
//    Parameters:
//      leftImage - left image of stereo-pair (format 8uC1).
//      rightImage - right image of stereo-pair (format 8uC1).
//   mode - mode of correspondence retrieval (now CV_DISPARITY_BIRCHFIELD only)
//      dispImage - destination disparity image
//      maxDisparity - maximal disparity 
//      param1, param2, param3, param4, param5 - parameters of algorithm
//    Returns:
//    Notes:
//      Images must be rectified.
//      All images must have format 8uC1.
//F*/
CVAPI(void) 
cvFindStereoCorrespondence( 
                   const  CvArr* leftImage, const  CvArr* rightImage,
                   int     mode,
                   CvArr*  dispImage,
                   int     maxDisparity,                                
                   double  param1 CV_DEFAULT(CV_UNDEF_SC_PARAM), 
                   double  param2 CV_DEFAULT(CV_UNDEF_SC_PARAM), 
                   double  param3 CV_DEFAULT(CV_UNDEF_SC_PARAM), 
                   double  param4 CV_DEFAULT(CV_UNDEF_SC_PARAM), 
                   double  param5 CV_DEFAULT(CV_UNDEF_SC_PARAM) );

/*****************************************************************************************/
/************ Epiline functions *******************/



typedef struct CvStereoLineCoeff
{
    double Xcoef;
    double XcoefA;
    double XcoefB;
    double XcoefAB;

    double Ycoef;
    double YcoefA;
    double YcoefB;
    double YcoefAB;

    double Zcoef;
    double ZcoefA;
    double ZcoefB;
    double ZcoefAB;
}CvStereoLineCoeff;


typedef struct CvCamera
{
    float   imgSize[2]; /* size of the camera view, used during calibration */
    float   matrix[9]; /* intinsic camera parameters:  [ fx 0 cx; 0 fy cy; 0 0 1 ] */
    float   distortion[4]; /* distortion coefficients - two coefficients for radial distortion
                              and another two for tangential: [ k1 k2 p1 p2 ] */
    float   rotMatr[9];
    float   transVect[3]; /* rotation matrix and transition vector relatively
                             to some reference point in the space. */
}
CvCamera;

typedef struct CvStereoCamera
{
    CvCamera* camera[2]; /* two individual camera parameters */
    float fundMatr[9]; /* fundamental matrix */

    /* New part for stereo */
    CvPoint3D32f epipole[2];
    CvPoint2D32f quad[2][4]; /* coordinates of destination quadrangle after
                                epipolar geometry rectification */
    double coeffs[2][3][3];/* coefficients for transformation */
    CvPoint2D32f border[2][4];
    CvSize warpSize;
    CvStereoLineCoeff* lineCoeffs;
    int needSwapCameras;/* flag set to 1 if need to swap cameras for good reconstruction */
    float rotMatrix[9];
    float transVector[3];
}
CvStereoCamera;


typedef struct CvContourOrientation
{
    float egvals[2];
    float egvects[4];

    float max, min; // minimum and maximum projections
    int imax, imin;
} CvContourOrientation;

#define CV_CAMERA_TO_WARP 1
#define CV_WARP_TO_CAMERA 2

CVAPI(int) icvConvertWarpCoordinates(double coeffs[3][3],
                                CvPoint2D32f* cameraPoint,
                                CvPoint2D32f* warpPoint,
                                int direction);

CVAPI(int) icvGetSymPoint3D(  CvPoint3D64d pointCorner,
                            CvPoint3D64d point1,
                            CvPoint3D64d point2,
                            CvPoint3D64d *pointSym2);

CVAPI(void) icvGetPieceLength3D(CvPoint3D64d point1,CvPoint3D64d point2,double* dist);

CVAPI(int) icvCompute3DPoint(    double alpha,double betta,
                            CvStereoLineCoeff* coeffs,
                            CvPoint3D64d* point);

CVAPI(int) icvCreateConvertMatrVect( CvMatr64d     rotMatr1,
                                CvMatr64d     transVect1,