cvaux.h

chopencv-2.3.0-win opencv学习资料 有意者下

    int id;
    CvPoint2D32f p; // pgruebele: So we do not loose precision, this needs to be float
} Cv3dTracker2dTrackedObject;

CV_INLINE Cv3dTracker2dTrackedObject cv3dTracker2dTrackedObject(int id, CvPoint2D32f p)
{
    Cv3dTracker2dTrackedObject r;
    r.id = id;
    r.p = p;
    return r;
}

typedef struct
{
    int id;
    CvPoint3D32f p;             // location of the tracked object
} Cv3dTrackerTrackedObject;

CV_INLINE Cv3dTrackerTrackedObject cv3dTrackerTrackedObject(int id, CvPoint3D32f p)
{
    Cv3dTrackerTrackedObject r;
    r.id = id;
    r.p = p;
    return r;
}

typedef struct
{
    CvBool valid;
    float mat[4][4];              /* maps camera coordinates to world coordinates */
    CvPoint2D32f principal_point; /* copied from intrinsics so this structure */
                                  /* has all the info we need */
} Cv3dTrackerCameraInfo;

typedef struct
{
    CvPoint2D32f principal_point;
    float focal_length[2];
    float distortion[4];
} Cv3dTrackerCameraIntrinsics;

CVAPI(CvBool) cv3dTrackerCalibrateCameras(int num_cameras,
                     const Cv3dTrackerCameraIntrinsics camera_intrinsics[], /* size is num_cameras */
                     CvSize etalon_size,
                     float square_size,
                     IplImage *samples[],                                   /* size is num_cameras */
                     Cv3dTrackerCameraInfo camera_info[]);                  /* size is num_cameras */

CVAPI(int)  cv3dTrackerLocateObjects(int num_cameras, int num_objects,
                   const Cv3dTrackerCameraInfo camera_info[],        /* size is num_cameras */
                   const Cv3dTracker2dTrackedObject tracking_info[], /* size is num_objects*num_cameras */
                   Cv3dTrackerTrackedObject tracked_objects[]);      /* size is num_objects */
/****************************************************************************************
 tracking_info is a rectangular array; one row per camera, num_objects elements per row.
 The id field of any unused slots must be -1. Ids need not be ordered or consecutive. On
 completion, the return value is the number of objects located; i.e., the number of objects
 visible by more than one camera. The id field of any unused slots in tracked objects is
 set to -1.
****************************************************************************************/


/****************************************************************************************\
*                           Skeletons and Linear-Contour Models                          *
\****************************************************************************************/

typedef enum CvLeeParameters
{
    CV_LEE_INT = 0,
    CV_LEE_FLOAT = 1,
    CV_LEE_DOUBLE = 2,
    CV_LEE_AUTO = -1,
    CV_LEE_ERODE = 0,
    CV_LEE_ZOOM = 1,
    CV_LEE_NON = 2
} CvLeeParameters;

#define CV_NEXT_VORONOISITE2D( SITE ) ((SITE)->edge[0]->site[((SITE)->edge[0]->site[0] == (SITE))])
#define CV_PREV_VORONOISITE2D( SITE ) ((SITE)->edge[1]->site[((SITE)->edge[1]->site[0] == (SITE))])
#define CV_FIRST_VORONOIEDGE2D( SITE ) ((SITE)->edge[0])
#define CV_LAST_VORONOIEDGE2D( SITE ) ((SITE)->edge[1])
#define CV_NEXT_VORONOIEDGE2D( EDGE, SITE ) ((EDGE)->next[(EDGE)->site[0] != (SITE)])
#define CV_PREV_VORONOIEDGE2D( EDGE, SITE ) ((EDGE)->next[2 + ((EDGE)->site[0] != (SITE))])
#define CV_VORONOIEDGE2D_BEGINNODE( EDGE, SITE ) ((EDGE)->node[((EDGE)->site[0] != (SITE))])
#define CV_VORONOIEDGE2D_ENDNODE( EDGE, SITE ) ((EDGE)->node[((EDGE)->site[0] == (SITE))])
#define CV_TWIN_VORONOISITE2D( SITE, EDGE ) ( (EDGE)->site[((EDGE)->site[0] == (SITE))]) 

#define CV_VORONOISITE2D_FIELDS()    \
    struct CvVoronoiNode2D *node[2]; \
    struct CvVoronoiEdge2D *edge[2];

typedef struct CvVoronoiSite2D
{
    CV_VORONOISITE2D_FIELDS()
    struct CvVoronoiSite2D *next[2];
} CvVoronoiSite2D;

#define CV_VORONOIEDGE2D_FIELDS()    \
    struct CvVoronoiNode2D *node[2]; \
    struct CvVoronoiSite2D *site[2]; \
    struct CvVoronoiEdge2D *next[4];

typedef struct CvVoronoiEdge2D
{
    CV_VORONOIEDGE2D_FIELDS()
} CvVoronoiEdge2D;

#define CV_VORONOINODE2D_FIELDS()       \
    CV_SET_ELEM_FIELDS(CvVoronoiNode2D) \
    CvPoint2D32f pt;                    \
    float radius;

typedef struct CvVoronoiNode2D
{
    CV_VORONOINODE2D_FIELDS()
} CvVoronoiNode2D;

#define CV_VORONOIDIAGRAM2D_FIELDS() \
    CV_GRAPH_FIELDS()                \
    CvSet *sites;

typedef struct CvVoronoiDiagram2D
{
    CV_VORONOIDIAGRAM2D_FIELDS()
} CvVoronoiDiagram2D;

/* Computes Voronoi Diagram for given polygons with holes */
CVAPI(int)  cvVoronoiDiagramFromContour(CvSeq* ContourSeq,
                                           CvVoronoiDiagram2D** VoronoiDiagram,
                                           CvMemStorage* VoronoiStorage,
                                           CvLeeParameters contour_type CV_DEFAULT(CV_LEE_INT),
                                           int contour_orientation CV_DEFAULT(-1),
                                           int attempt_number CV_DEFAULT(10));

/* Computes Voronoi Diagram for domains in given image */
CVAPI(int)  cvVoronoiDiagramFromImage(IplImage* pImage,
                                         CvSeq** ContourSeq,
                                         CvVoronoiDiagram2D** VoronoiDiagram,
                                         CvMemStorage* VoronoiStorage,
                                         CvLeeParameters regularization_method CV_DEFAULT(CV_LEE_NON),
                                         float approx_precision CV_DEFAULT(CV_LEE_AUTO));

/* Deallocates the storage */
CVAPI(void) cvReleaseVoronoiStorage(CvVoronoiDiagram2D* VoronoiDiagram,
                                          CvMemStorage** pVoronoiStorage);

/*********************** Linear-Contour Model ****************************/

struct CvLCMEdge;
struct CvLCMNode;

typedef struct CvLCMEdge
{
    CV_GRAPH_EDGE_FIELDS() 
    CvSeq* chain;
    float width;
    int index1;
    int index2;
} CvLCMEdge;

typedef struct CvLCMNode
{
    CV_GRAPH_VERTEX_FIELDS()
    CvContour* contour; 
} CvLCMNode;


/* Computes hybrid model from Voronoi Diagram */
CVAPI(CvGraph*) cvLinearContorModelFromVoronoiDiagram(CvVoronoiDiagram2D* VoronoiDiagram,
                                                         float maxWidth);

/* Releases hybrid model storage */
CVAPI(int) cvReleaseLinearContorModelStorage(CvGraph** Graph);


/* two stereo-related functions */

CVAPI(void) cvInitPerspectiveTransform( CvSize size, const CvPoint2D32f vertex[4], double matrix[3][3],
                                              CvArr* rectMap );

/*CVAPI(void) cvInitStereoRectification( CvStereoCamera* params,
                                             CvArr* rectMap1, CvArr* rectMap2,
                                             int do_undistortion );*/

/*************************** View Morphing Functions ************************/

/* The order of the function corresponds to the order they should appear in
   the view morphing pipeline */ 

/* Finds ending points of scanlines on left and right images of stereo-pair */
CVAPI(void)  cvMakeScanlines( const CvMatrix3* matrix, CvSize  img_size,
                              int*  scanlines1, int*  scanlines2,
                              int*  lengths1, int*  lengths2,
                              int*  line_count );

/* Grab pixel values from scanlines and stores them sequentially
   (some sort of perspective image transform) */
CVAPI(void)  cvPreWarpImage( int       line_count,
                             IplImage* img,
                             uchar*    dst,
                             int*      dst_nums,
                             int*      scanlines);

/* Approximate each grabbed scanline by a sequence of runs
   (lossy run-length compression) */
CVAPI(void)  cvFindRuns( int    line_count,
                         uchar* prewarp1,
                         uchar* prewarp2,
                         int*   line_lengths1,
                         int*   line_lengths2,
                         int*   runs1,
                         int*   runs2,
                         int*   num_runs1,
                         int*   num_runs2);

/* Compares two sets of compressed scanlines */
CVAPI(void)  cvDynamicCorrespondMulti( int  line_count,
                                       int* first,
                                       int* first_runs,
                                       int* second,
                                       int* second_runs,
                                       int* first_corr,
                                       int* second_corr);

/* Finds scanline ending coordinates for some intermediate "virtual" camera position */
CVAPI(void)  cvMakeAlphaScanlines( int*  scanlines1,
                                   int*  scanlines2,
                                   int*  scanlinesA,
                                   int*  lengths,
                                   int   line_count,
                                   float alpha);

/* Blends data of the left and right image scanlines to get
   pixel values of "virtual" image scanlines */
CVAPI(void)  cvMorphEpilinesMulti( int    line_count,
                                   uchar* first_pix,
                                   int*   first_num,
                                   uchar* second_pix,
                                   int*   second_num,
                                   uchar* dst_pix,
                                   int*   dst_num,
                                   float  alpha,
                                   int*   first,
                                   int*   first_runs,
                                   int*   second,
                                   int*   second_runs,
                                   int*   first_corr,
                                   int*   second_corr);

/* Does reverse warping of the morphing result to make
   it fill the destination image rectangle */
CVAPI(void)  cvPostWarpImage( int       line_count,
                              uchar*    src,
                              int*      src_nums,
                              IplImage* img,
                              int*      scanlines);

/* Deletes Moire (missed pixels that appear due to discretization) */
CVAPI(void)  cvDeleteMoire( IplImage*  img );


/****************************************************************************************\
*                           Background/foreground segmentation                           *
\****************************************************************************************/

#define CV_BG_MODEL_FGD     0
#define CV_BG_MODEL_MOG     1
#define CV_BG_MODEL_FGD_SIMPLE   2

struct CvBGStatModel;

typedef void (CV_CDECL * CvReleaseBGStatModel)( struct CvBGStatModel** bg_model );
typedef int (CV_CDECL * CvUpdateBGStatModel)( IplImage* curr_frame, struct CvBGStatModel* bg_model );

#define CV_BG_STAT_MODEL_FIELDS()                                                   \
    int             type; /*type of BG model*/                                      \
    CvReleaseBGStatModel release;                                                   \
    CvUpdateBGStatModel update;                                                     \
    IplImage*       background;   /*8UC3 reference background image*/               \
    IplImage*       foreground;   /*8UC1 foreground image*/                         \
    IplImage**      layers;       /*8UC3 reference background image, can be null */ \
    int             layer_count;  /* can be zero */                                 \
    CvMemStorage*   storage;      /*storage for 揻oreground_regions