cvoptflowbm.cpp.svn-base
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SVN-BASE
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/*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*/
#include "_cv.h"
IPCVAPI( CvStatus , icvCalcOpticalFlowBM_8u32fR,( uchar* imgA, uchar* imgB,
int imgStep, CvSize imgSize,
CvSize blockSize, CvSize shiftSize,
CvSize maxRange,
int usePrevious,
float* velocityX,
float* velocityY,
int velStep ))
/*F///////////////////////////////////////////////////////////////////////////////////////
// Name: icvCalcOpticalFlowBM_8u32fR
// Purpose: calculate Optical flow for 2 images using block matching algorithm
// Context:
// Parameters:
// imgA, // pointer to first frame ROI
// imgB, // pointer to second frame ROI
// imgStep, // full width of input images in bytes
// imgSize, // size of the image
// blockSize, // size of basic blocks which are compared
// shiftSize, // coordinates increments.
// maxRange, // size of the scanned neighborhood.
// usePrevious, // flag of using previous velocity field
// velocityX, // pointer to ROI of horizontal and
// velocityY, // vertical components of optical flow
// velStep); // full width of velocity frames in bytes
// Returns: CV_OK or error code
// Notes:
//F*/
#define SMALL_DIFF 2
#define BIG_DIFF 128
IPCVAPI_IMPL( CvStatus, icvCalcOpticalFlowBM_8u32fR, (uchar * imgA,
uchar * imgB,
int imgStep,
CvSize imgSize,
CvSize blockSize,
CvSize shiftSize,
CvSize maxRange,
int usePrev,
float *velocityX,
float *velocityY, int velStep) )
{
const float back = 1.f / (float) (1 << 16);
/* scanning scheme coordinates */
CvPoint *ss = 0;
int ss_count = 0;
int stand_accept_level = blockSize.height * blockSize.width * SMALL_DIFF;
int stand_escape_level = blockSize.height * blockSize.width * BIG_DIFF;
int i, j;
int *int_velocityX = (int *) velocityX;
int *int_velocityY = (int *) velocityY;
/* if image sizes can't be divided by block sizes then right blocks will */
/* have not full width - BorderWidth */
/* and bottom blocks will */
/* have not full height - BorderHeight */
int BorderWidth;
int BorderHeight;
int CurrentWidth;
int CurrentHeight;
int NumberBlocksX;
int NumberBlocksY;
int Y1 = 0;
int X1 = 0;
int DownStep = blockSize.height * imgStep;
uchar *blockA = 0;
uchar *blockB = 0;
uchar *blockZ = 0;
int blSize = blockSize.width * blockSize.height;
int bufferSize = icvAlign(blSize + 9,16);
int cmpSize = icvAlign(blSize,4);
int patch_ofs = blSize & -8;
int64 patch_mask = (((int64) 1) << (blSize - patch_ofs * 8)) - 1;
if( patch_ofs == blSize )
patch_mask = (int64) - 1;
/****************************************************************************************\
* Checking bad arguments *
\****************************************************************************************/
if( imgA == NULL )
return CV_NULLPTR_ERR;
if( imgB == NULL )
return CV_NULLPTR_ERR;
/****************************************************************************************\
* Allocate buffers *
\****************************************************************************************/
blockA = (uchar *) icvAlloc( bufferSize * 3 );
if( !blockA )
return CV_OUTOFMEM_ERR;
blockB = blockA + bufferSize;
blockZ = blockB + bufferSize;
memset( blockZ, 0, bufferSize );
ss = (CvPoint *) icvAlloc( (2 * maxRange.width + 1) * (2 * maxRange.height + 1) *
sizeof( CvPoint ));
if( !ss )
{
icvFree( &blockA );
return CV_OUTOFMEM_ERR;
}
/****************************************************************************************\
* Calculate scanning scheme *
\****************************************************************************************/
{
int X_shift_count = maxRange.width / shiftSize.width;
int Y_shift_count = maxRange.height / shiftSize.height;
int min_count = MIN( X_shift_count, Y_shift_count );
/* cycle by neighborhood rings */
/* scanning scheme is
. 9 10 11 12
. 8 1 2 13
. 7 * 3 14
. 6 5 4 15
20 19 18 17 16
*/
for( i = 0; i < min_count; i++ )
{
/* four cycles along sides */
int y = -(i + 1) * shiftSize.height;
int x = -(i + 1) * shiftSize.width;
/* upper side */
for( j = -i; j <= i + 1; j++, ss_count++ )
{
x += shiftSize.width;
ss[ss_count].x = x;
ss[ss_count].y = y;
}
/* right side */
for( j = -i; j <= i + 1; j++, ss_count++ )
{
y += shiftSize.height;
ss[ss_count].x = x;
ss[ss_count].y = y;
}
/* bottom side */
for( j = -i; j <= i + 1; j++, ss_count++ )
{
x -= shiftSize.width;
ss[ss_count].x = x;
ss[ss_count].y = y;
}
/* left side */
for( j = -i; j <= i + 1; j++, ss_count++ )
{
y -= shiftSize.height;
ss[ss_count].x = x;
ss[ss_count].y = y;
}
}
/* the rest part */
if( X_shift_count < Y_shift_count )
{
int xleft = -min_count * shiftSize.width;
/* cycle by neighbor rings */
for( i = min_count; i < Y_shift_count; i++ )
{
/* two cycles by x */
int y = -(i + 1) * shiftSize.height;
int x = xleft;
/* upper side */
for( j = -X_shift_count; j <= X_shift_count; j++, ss_count++ )
{
ss[ss_count].x = x;
ss[ss_count].y = y;
x += shiftSize.width;
}
x = xleft;
y = -y;
/* bottom side */
for( j = -X_shift_count; j <= X_shift_count; j++, ss_count++ )
{
ss[ss_count].x = x;
ss[ss_count].y = y;
x += shiftSize.width;
}
}
}
else if( X_shift_count > Y_shift_count )
{
int yupper = -min_count * shiftSize.height;
/* cycle by neighbor rings */
for( i = min_count; i < X_shift_count; i++ )
{
/* two cycles by y */
int x = -(i + 1) * shiftSize.width;
int y = yupper;
/* left side */
for( j = -Y_shift_count; j <= Y_shift_count; j++, ss_count++ )
{
ss[ss_count].x = x;
ss[ss_count].y = y;
y += shiftSize.height;
}
y = yupper;
x = -x;
/* right side */
for( j = -Y_shift_count; j <= Y_shift_count; j++, ss_count++ )
{
ss[ss_count].x = x;
ss[ss_count].y = y;
y += shiftSize.height;
}
}
}
}
/****************************************************************************************\
* Calculate some neeeded variables *
\****************************************************************************************/
/* Calculate number of full blocks */
NumberBlocksX = (int) imgSize.width / blockSize.width;
NumberBlocksY = (int) imgSize.height / blockSize.height;
/* add 1 if not full border blocks exist */
BorderWidth = imgSize.width % blockSize.width;
if( BorderWidth )
NumberBlocksX++;
else
BorderWidth = blockSize.width;
BorderHeight = imgSize.height % blockSize.height;
if( BorderHeight )
NumberBlocksY++;
else
BorderHeight = blockSize.height;
/****************************************************************************************\
* Round input velocities integer searching area center position *
\****************************************************************************************/
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