cvcalccovarmatrix.cpp.svn-base
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
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//
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// 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
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//
//M*/
#include "_cv.h"
/*F///////////////////////////////////////////////////////////////////////////////////////
// Name: icvCalcCovarMatrixEx_8u32fR
// Purpose: The function calculates a covariance matrix for a group of input objects
// (images, vectors, etc.). ROI supported.
// Context:
// Parameters: nObjects - number of source objects
// objects - array of pointers to ROIs of the source objects
// imgStep - full width of each source object row in bytes
// avg - pointer to averaged object
// avgStep - full width of averaged object row in bytes
// size - ROI size of each source and averaged objects
// covarMatrix - covariance matrix (output parameter; must be allocated
// before call)
//
// Returns: CV_NO_ERR or error code
//
// Notes:
//F*/
IPCVAPI_IMPL( CvStatus, icvCalcCovarMatrixEx_8u32fR, (int nObjects,
void *input,
int objStep1,
int ioFlags,
int ioBufSize,
uchar * buffer,
void *userData,
float *avg,
int avgStep,
CvSize size, float *covarMatrix) )
{
int objStep = objStep1;
/* ---- TEST OF PARAMETERS ---- */
if( nObjects < 2 )
return CV_BADFACTOR_ERR;
if( ioFlags < 0 || ioFlags > 3 )
return CV_BADFACTOR_ERR;
if( ioFlags && ioBufSize < 1024 )
return CV_BADFACTOR_ERR;
if( ioFlags && buffer == NULL )
return CV_NULLPTR_ERR;
if( input == NULL || avg == NULL || covarMatrix == NULL )
return CV_NULLPTR_ERR;
if( size.width > objStep || 4 * size.width > avgStep || size.height < 1 )
return CV_BADSIZE_ERR;
avgStep /= 4;
if( ioFlags & CV_EIGOBJ_INPUT_CALLBACK ) /* ==== USE INPUT CALLBACK ==== */
{
int nio, ngr, igr, n = size.width * size.height, mm = 0;
CvCallback read_callback = ((CvInput *) & input)->callback;
uchar *buffer2;
objStep = n;
nio = ioBufSize / n; /* number of objects in buffer */
ngr = nObjects / nio; /* number of io groups */
if( nObjects % nio )
mm = 1;
ngr += mm;
buffer2 = (uchar *) icvAlloc( sizeof( uchar ) * n );
if( buffer2 == NULL )
return CV_OUTOFMEM_ERR;
for( igr = 0; igr < ngr; igr++ )
{
int k, l;
int io, jo, imin = igr * nio, imax = imin + nio;
uchar *bu1 = buffer, *bu2;
if( imax > nObjects )
imax = nObjects;
/* read igr group */
for( io = imin; io < imax; io++, bu1 += n )
{
CvStatus r;
r = read_callback( io, (void *) bu1, userData );
if( r )
return r;
}
/* diagonal square calc */
bu1 = buffer;
for( io = imin; io < imax; io++, bu1 += n )
{
bu2 = bu1;
for( jo = io; jo < imax; jo++, bu2 += n )
{
float w = 0.f;
float *fu = avg;
int ij = 0;
for( k = 0; k < size.height; k++, fu += avgStep )
for( l = 0; l < size.width; l++, ij++ )
{
float f = fu[l], u1 = bu1[ij], u2 = bu2[ij];
w += (u1 - f) * (u2 - f);
}
covarMatrix[io * nObjects + jo] = covarMatrix[jo * nObjects + io] = w;
}
}
/* non-diagonal elements calc */
for( jo = imax; jo < nObjects; jo++ )
{
CvStatus r;
bu1 = buffer;
bu2 = buffer2;
/* read jo object */
r = read_callback( jo, (void *) bu2, userData );
if( r )
return r;
for( io = imin; io < imax; io++, bu1 += n )
{
float w = 0.f;
float *fu = avg;
int ij = 0;
for( k = 0; k < size.height; k++, fu += avgStep )
{
for( l = 0; l < size.width - 3; l += 4, ij += 4 )
{
float f = fu[l];
uchar u1 = bu1[ij];
uchar u2 = bu2[ij];
w += (u1 - f) * (u2 - f);
f = fu[l + 1];
u1 = bu1[ij + 1];
u2 = bu2[ij + 1];
w += (u1 - f) * (u2 - f);
f = fu[l + 2];
u1 = bu1[ij + 2];
u2 = bu2[ij + 2];
w += (u1 - f) * (u2 - f);
f = fu[l + 3];
u1 = bu1[ij + 3];
u2 = bu2[ij + 3];
w += (u1 - f) * (u2 - f);
}
for( ; l < size.width; l++, ij++ )
{
float f = fu[l], u1 = bu1[ij], u2 = bu2[ij];
w += (u1 - f) * (u2 - f);
}
}
covarMatrix[io * nObjects + jo] = covarMatrix[jo * nObjects + io] = w;
}
}
} /* igr */
icvFree( (void **) &buffer2 );
} /* if() */
else
/* ==== NOT USE INPUT CALLBACK ==== */
{
int i, j;
uchar **objects = (uchar **) (((CvInput *) & input)->data);
for( i = 0; i < nObjects; i++ )
{
uchar *bu = objects[i];
for( j = i; j < nObjects; j++ )
{
int k, l;
float w = 0.f;
float *a = avg;
uchar *bu1 = bu;
uchar *bu2 = objects[j];
for( k = 0; k < size.height;
k++, bu1 += objStep, bu2 += objStep, a += avgStep )
{
for( l = 0; l < size.width - 3; l += 4 )
{
float f = a[l];
uchar u1 = bu1[l];
uchar u2 = bu2[l];
w += (u1 - f) * (u2 - f);
f = a[l + 1];
u1 = bu1[l + 1];
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