Google Git
Sign in
ara-mdk / platform / external / opencv / 6acb9a7ea3d7564944e12cbc73a857b88c1301ee / . / cv / src / cvimgwarp.cpp
blob: 65c0d8f719dfeb18258911ba8352b4f0cd077e27 [file] [log] [blame]
/*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*/
/* ////////////////////////////////////////////////////////////////////
//
// Geometrical transforms on images and matrices: rotation, zoom etc.
//
// */
#include "_cv.h"
/************** interpolation constants and tables ***************/
#define ICV_WARP_MUL_ONE_8U(x) ((x) << ICV_WARP_SHIFT)
#define ICV_WARP_DESCALE_8U(x) CV_DESCALE((x), ICV_WARP_SHIFT*2)
#define ICV_WARP_CLIP_X(x) ((unsigned)(x) < (unsigned)ssize.width ? \
(x) : (x) < 0 ? 0 : ssize.width - 1)
#define ICV_WARP_CLIP_Y(y) ((unsigned)(y) < (unsigned)ssize.height ? \
(y) : (y) < 0 ? 0 : ssize.height - 1)
float icvLinearCoeffs[(ICV_LINEAR_TAB_SIZE+1)*2];
void icvInitLinearCoeffTab()
{
static int inittab = 0;
if( !inittab )
{
for( int i = 0; i <= ICV_LINEAR_TAB_SIZE; i++ )
{
float x = (float)i/ICV_LINEAR_TAB_SIZE;
icvLinearCoeffs[i*2] = x;
icvLinearCoeffs[i*2+1] = 1.f - x;
}
inittab = 1;
}
}
float icvCubicCoeffs[(ICV_CUBIC_TAB_SIZE+1)*2];
void icvInitCubicCoeffTab()
{
static int inittab = 0;
if( !inittab )
{
#if 0
// classical Mitchell-Netravali filter
const double B = 1./3;
const double C = 1./3;
const double p0 = (6 - 2*B)/6.;
const double p2 = (-18 + 12*B + 6*C)/6.;
const double p3 = (12 - 9*B - 6*C)/6.;
const double q0 = (8*B + 24*C)/6.;
const double q1 = (-12*B - 48*C)/6.;
const double q2 = (6*B + 30*C)/6.;
const double q3 = (-B - 6*C)/6.;
#define ICV_CUBIC_1(x) (((x)*p3 + p2)*(x)*(x) + p0)
#define ICV_CUBIC_2(x) ((((x)*q3 + q2)*(x) + q1)*(x) + q0)
#else
// alternative "sharp" filter
const double A = -0.75;
#define ICV_CUBIC_1(x) (((A + 2)*(x) - (A + 3))*(x)*(x) + 1)
#define ICV_CUBIC_2(x) (((A*(x) - 5*A)*(x) + 8*A)*(x) - 4*A)
#endif
for( int i = 0; i <= ICV_CUBIC_TAB_SIZE; i++ )
{
float x = (float)i/ICV_CUBIC_TAB_SIZE;
icvCubicCoeffs[i*2] = (float)ICV_CUBIC_1(x);
x += 1.f;
icvCubicCoeffs[i*2+1] = (float)ICV_CUBIC_2(x);
}
inittab = 1;
}
}
/****************************************************************************************\
* Resize *
\****************************************************************************************/
static CvStatus CV_STDCALL
icvResize_NN_8u_C1R( const uchar* src, int srcstep, CvSize ssize,
uchar* dst, int dststep, CvSize dsize, int pix_size )
{
int* x_ofs = (int*)cvStackAlloc( dsize.width * sizeof(x_ofs[0]) );
int pix_size4 = pix_size / sizeof(int);
int x, y, t;
for( x = 0; x < dsize.width; x++ )
{
t = (ssize.width*x*2 + MIN(ssize.width, dsize.width) - 1)/(dsize.width*2);
t -= t >= ssize.width;
x_ofs[x] = t*pix_size;
}
for( y = 0; y < dsize.height; y++, dst += dststep )
{
const uchar* tsrc;
t = (ssize.height*y*2 + MIN(ssize.height, dsize.height) - 1)/(dsize.height*2);
t -= t >= ssize.height;
tsrc = src + srcstep*t;
switch( pix_size )
{
case 1:
for( x = 0; x <= dsize.width - 2; x += 2 )
{
uchar t0 = tsrc[x_ofs[x]];
uchar t1 = tsrc[x_ofs[x+1]];
dst[x] = t0;
dst[x+1] = t1;
}
for( ; x < dsize.width; x++ )
dst[x] = tsrc[x_ofs[x]];
break;
case 2:
for( x = 0; x < dsize.width; x++ )
*(ushort*)(dst + x*2) = *(ushort*)(tsrc + x_ofs[x]);
break;
case 3:
for( x = 0; x < dsize.width; x++ )
{
const uchar* _tsrc = tsrc + x_ofs[x];
dst[x*3] = _tsrc[0]; dst[x*3+1] = _tsrc[1]; dst[x*3+2] = _tsrc[2];
}
break;
case 4:
for( x = 0; x < dsize.width; x++ )
*(int*)(dst + x*4) = *(int*)(tsrc + x_ofs[x]);
break;
case 6:
for( x = 0; x < dsize.width; x++ )
{
const ushort* _tsrc = (const ushort*)(tsrc + x_ofs[x]);
ushort* _tdst = (ushort*)(dst + x*6);
_tdst[0] = _tsrc[0]; _tdst[1] = _tsrc[1]; _tdst[2] = _tsrc[2];
}
break;
default:
for( x = 0; x < dsize.width; x++ )
CV_MEMCPY_INT( dst + x*pix_size, tsrc + x_ofs[x], pix_size4 );
}
}
return CV_OK;
}
typedef struct CvResizeAlpha
{
int idx;
union
{
float alpha;
int ialpha;
};
}
CvResizeAlpha;
#define ICV_DEF_RESIZE_BILINEAR_FUNC( flavor, arrtype, worktype, alpha_field, \
mul_one_macro, descale_macro ) \
static CvStatus CV_STDCALL \
icvResize_Bilinear_##flavor##_CnR( const arrtype* src, int srcstep, CvSize ssize,\
arrtype* dst, int dststep, CvSize dsize, \
int cn, int xmax, \
const CvResizeAlpha* xofs, \
const CvResizeAlpha* yofs, \
worktype* buf0, worktype* buf1 ) \
{ \
int prev_sy0 = -1, prev_sy1 = -1; \
int k, dx, dy; \
\
srcstep /= sizeof(src[0]); \
dststep /= sizeof(dst[0]); \
dsize.width *= cn; \
xmax *= cn; \
\
for( dy = 0; dy < dsize.height; dy++, dst += dststep ) \
{ \
worktype fy = yofs[dy].alpha_field, *swap_t; \
int sy0 = yofs[dy].idx, sy1 = sy0 + (fy > 0 && sy0 < ssize.height-1); \
\
if( sy0 == prev_sy0 && sy1 == prev_sy1 ) \
k = 2; \
else if( sy0 == prev_sy1 ) \
{ \
CV_SWAP( buf0, buf1, swap_t ); \
k = 1; \
} \
else \
k = 0; \
\
for( ; k < 2; k++ ) \
{ \
worktype* _buf = k == 0 ? buf0 : buf1; \
const arrtype* _src; \
int sy = k == 0 ? sy0 : sy1; \
if( k == 1 && sy1 == sy0 ) \
{ \
memcpy( buf1, buf0, dsize.width*sizeof(buf0[0]) ); \
continue; \
} \
\
_src = src + sy*srcstep; \
for( dx = 0; dx < xmax; dx++ ) \
{ \
int sx = xofs[dx].idx; \
worktype fx = xofs[dx].alpha_field; \
worktype t = _src[sx]; \
_buf[dx] = mul_one_macro(t) + fx*(_src[sx+cn] - t); \
} \
\
for( ; dx < dsize.width; dx++ ) \
_buf[dx] = mul_one_macro(_src[xofs[dx].idx]); \
} \
\
prev_sy0 = sy0; \
prev_sy1 = sy1; \
\
if( sy0 == sy1 ) \
for( dx = 0; dx < dsize.width; dx++ ) \
dst[dx] = (arrtype)descale_macro( mul_one_macro(buf0[dx])); \
else \
for( dx = 0; dx < dsize.width; dx++ ) \
dst[dx] = (arrtype)descale_macro( mul_one_macro(buf0[dx]) + \
fy*(buf1[dx] - buf0[dx])); \
} \
\
return CV_OK; \
}
typedef struct CvDecimateAlpha
{
int si, di;
float alpha;
}
CvDecimateAlpha;
#define ICV_DEF_RESIZE_AREA_FAST_FUNC( flavor, arrtype, worktype, cast_macro ) \
static CvStatus CV_STDCALL \
icvResize_AreaFast_##flavor##_CnR( const arrtype* src, int srcstep, CvSize ssize,\
arrtype* dst, int dststep, CvSize dsize, int cn, \
const int* ofs, const int* xofs ) \
{ \
int dy, dx, k = 0; \
int scale_x = ssize.width/dsize.width; \
int scale_y = ssize.height/dsize.height; \
int area = scale_x*scale_y; \
float scale = 1.f/(scale_x*scale_y); \
\
srcstep /= sizeof(src[0]); \
dststep /= sizeof(dst[0]); \
dsize.width *= cn; \
\
for( dy = 0; dy < dsize.height; dy++, dst += dststep ) \
for( dx = 0; dx < dsize.width; dx++ ) \
{ \
const arrtype* _src = src + dy*scale_y*srcstep + xofs[dx]; \
worktype sum = 0; \
\
for( k = 0; k <= area - 4; k += 4 ) \
sum += _src[ofs[k]] + _src[ofs[k+1]] + \
_src[ofs[k+2]] + _src[ofs[k+3]]; \
\
for( ; k < area; k++ ) \
sum += _src[ofs[k]]; \
\
dst[dx] = (arrtype)cast_macro( sum*scale ); \
} \
\
return CV_OK; \
}
#define ICV_DEF_RESIZE_AREA_FUNC( flavor, arrtype, load_macro, cast_macro ) \
static CvStatus CV_STDCALL \
icvResize_Area_##flavor##_CnR( const arrtype* src, int srcstep, CvSize ssize, \
arrtype* dst, int dststep, CvSize dsize, \
int cn, const CvDecimateAlpha* xofs, \
int xofs_count, float* buf, float* sum ) \
{ \
int k, sy, dx, cur_dy = 0; \
float scale_y = (float)ssize.height/dsize.height; \
\
srcstep /= sizeof(src[0]); \
dststep /= sizeof(dst[0]); \
dsize.width *= cn; \
\
for( sy = 0; sy < ssize.height; sy++, src += srcstep ) \
{ \
if( cn == 1 ) \
for( k = 0; k < xofs_count; k++ ) \
{ \
int dxn = xofs[k].di; \
float alpha = xofs[k].alpha; \
buf[dxn] = buf[dxn] + load_macro(src[xofs[k].si])*alpha; \
} \
else if( cn == 2 ) \
for( k = 0; k < xofs_count; k++ ) \
{ \
int sxn = xofs[k].si; \
int dxn = xofs[k].di; \
float alpha = xofs[k].alpha; \
float t0 = buf[dxn] + load_macro(src[sxn])*alpha; \
float t1 = buf[dxn+1] + load_macro(src[sxn+1])*alpha; \
buf[dxn] = t0; buf[dxn+1] = t1; \
} \
else if( cn == 3 ) \
for( k = 0; k < xofs_count; k++ ) \
{ \
int sxn = xofs[k].si; \
int dxn = xofs[k].di; \
float alpha = xofs[k].alpha; \
float t0 = buf[dxn] + load_macro(src[sxn])*alpha; \
float t1 = buf[dxn+1] + load_macro(src[sxn+1])*alpha; \
float t2 = buf[dxn+2] + load_macro(src[sxn+2])*alpha; \
buf[dxn] = t0; buf[dxn+1] = t1; buf[dxn+2] = t2; \
} \
else \
for( k = 0; k < xofs_count; k++ ) \
{ \
int sxn = xofs[k].si; \
int dxn = xofs[k].di; \
float alpha = xofs[k].alpha; \
float t0 = buf[dxn] + load_macro(src[sxn])*alpha; \
float t1 = buf[dxn+1] + load_macro(src[sxn+1])*alpha; \
buf[dxn] = t0; buf[dxn+1] = t1; \
t0 = buf[dxn+2] + load_macro(src[sxn+2])*alpha; \
t1 = buf[dxn+3] + load_macro(src[sxn+3])*alpha; \
buf[dxn+2] = t0; buf[dxn+3] = t1; \
} \
\
if( (cur_dy + 1)*scale_y <= sy + 1 || sy == ssize.height - 1 ) \
{ \
float beta = sy + 1 - (cur_dy+1)*scale_y, beta1; \
beta = MAX( beta, 0 ); \
beta1 = 1 - beta; \
if( fabs(beta) < 1e-3 ) \
for( dx = 0; dx < dsize.width; dx++ ) \
{ \
dst[dx] = (arrtype)cast_macro(sum[dx] + buf[dx]); \
sum[dx] = buf[dx] = 0; \
} \
else \
for( dx = 0; dx < dsize.width; dx++ ) \
{ \
dst[dx] = (arrtype)cast_macro(sum[dx] + buf[dx]*beta1); \
sum[dx] = buf[dx]*beta; \
buf[dx] = 0; \
} \
dst += dststep; \
cur_dy++; \
} \
else \
for( dx = 0; dx < dsize.width; dx += 2 ) \
{ \
float t0 = sum[dx] + buf[dx]; \
float t1 = sum[dx+1] + buf[dx+1]; \
sum[dx] = t0; sum[dx+1] = t1; \
buf[dx] = buf[dx+1] = 0; \
} \
} \
\
return CV_OK; \
}
#define ICV_DEF_RESIZE_BICUBIC_FUNC( flavor, arrtype, worktype, load_macro, \
cast_macro1, cast_macro2 ) \
static CvStatus CV_STDCALL \
icvResize_Bicubic_##flavor##_CnR( const arrtype* src, int srcstep, CvSize ssize,\
arrtype* dst, int dststep, CvSize dsize, \
int cn, int xmin, int xmax, \
const CvResizeAlpha* xofs, float** buf ) \
{ \
float scale_y = (float)ssize.height/dsize.height; \
int dx, dy, sx, sy, sy2, ify; \
int prev_sy2 = -2; \
\
xmin *= cn; xmax *= cn; \
dsize.width *= cn; \
ssize.width *= cn; \
srcstep /= sizeof(src[0]); \
dststep /= sizeof(dst[0]); \
\
for( dy = 0; dy < dsize.height; dy++, dst += dststep ) \
{ \
float w0, w1, w2, w3; \
float fy, x, sum; \
float *row, *row0, *row1, *row2, *row3; \
int k1, k = 4; \
\
fy = dy*scale_y; \
sy = cvFloor(fy); \
fy -= sy; \
ify = cvRound(fy*ICV_CUBIC_TAB_SIZE); \
sy2 = sy + 2; \
\
if( sy2 > prev_sy2 ) \
{ \
int delta = prev_sy2 - sy + 2; \
for( k = 0; k < delta; k++ ) \
CV_SWAP( buf[k], buf[k+4-delta], row ); \
} \
\
for( sy += k - 1; k < 4; k++, sy++ ) \
{ \
const arrtype* _src = src + sy*srcstep; \
\
row = buf[k]; \
if( sy < 0 ) \
continue; \
if( sy >= ssize.height ) \
{ \
assert( k > 0 ); \
memcpy( row, buf[k-1], dsize.width*sizeof(row[0]) ); \
continue; \
} \
\
for( dx = 0; dx < xmin; dx++ ) \
{ \
int ifx = xofs[dx].ialpha, sx0 = xofs[dx].idx; \
sx = sx0 + cn*2; \
while( sx >= ssize.width ) \
sx -= cn; \
x = load_macro(_src[sx]); \
sum = x*icvCubicCoeffs[(ICV_CUBIC_TAB_SIZE - ifx)*2 + 1]; \
if( (unsigned)(sx = sx0 + cn) < (unsigned)ssize.width ) \
x = load_macro(_src[sx]); \
sum += x*icvCubicCoeffs[(ICV_CUBIC_TAB_SIZE - ifx)*2]; \
if( (unsigned)(sx = sx0) < (unsigned)ssize.width ) \
x = load_macro(_src[sx]); \
sum += x*icvCubicCoeffs[ifx*2]; \
if( (unsigned)(sx = sx0 - cn) < (unsigned)ssize.width ) \
x = load_macro(_src[sx]); \
row[dx] = sum + x*icvCubicCoeffs[ifx*2 + 1]; \
} \
\
for( ; dx < xmax; dx++ ) \
{ \
int ifx = xofs[dx].ialpha; \
int sx0 = xofs[dx].idx; \
row[dx] = _src[sx0 - cn]*icvCubicCoeffs[ifx*2 + 1] + \
_src[sx0]*icvCubicCoeffs[ifx*2] + \
_src[sx0 + cn]*icvCubicCoeffs[(ICV_CUBIC_TAB_SIZE-ifx)*2] + \
_src[sx0 + cn*2]*icvCubicCoeffs[(ICV_CUBIC_TAB_SIZE-ifx)*2+1];\
} \
\
for( ; dx < dsize.width; dx++ ) \
{ \
int ifx = xofs[dx].ialpha, sx0 = xofs[dx].idx; \
x = load_macro(_src[sx0 - cn]); \
sum = x*icvCubicCoeffs[ifx*2 + 1]; \
if( (unsigned)(sx = sx0) < (unsigned)ssize.width ) \
x = load_macro(_src[sx]); \
sum += x*icvCubicCoeffs[ifx*2]; \
if( (unsigned)(sx = sx0 + cn) < (unsigned)ssize.width ) \
x = load_macro(_src[sx]); \
sum += x*icvCubicCoeffs[(ICV_CUBIC_TAB_SIZE - ifx)*2]; \
if( (unsigned)(sx = sx0 + cn*2) < (unsigned)ssize.width ) \
x = load_macro(_src[sx]); \
row[dx] = sum + x*icvCubicCoeffs[(ICV_CUBIC_TAB_SIZE-ifx)*2+1]; \
} \
\
if( sy == 0 ) \
for( k1 = 0; k1 < k; k1++ ) \
memcpy( buf[k1], row, dsize.width*sizeof(row[0])); \
} \
\
prev_sy2 = sy2; \
\
row0 = buf[0]; row1 = buf[1]; \
row2 = buf[2]; row3 = buf[3]; \
\
w0 = icvCubicCoeffs[ify*2+1]; \
w1 = icvCubicCoeffs[ify*2]; \
w2 = icvCubicCoeffs[(ICV_CUBIC_TAB_SIZE - ify)*2]; \
w3 = icvCubicCoeffs[(ICV_CUBIC_TAB_SIZE - ify)*2 + 1]; \
\
for( dx = 0; dx < dsize.width; dx++ ) \
{ \
worktype val = cast_macro1( row0[dx]*w0 + row1[dx]*w1 + \
row2[dx]*w2 + row3[dx]*w3 ); \
dst[dx] = cast_macro2(val); \
} \
} \
\
return CV_OK; \
}
ICV_DEF_RESIZE_BILINEAR_FUNC( 8u, uchar, int, ialpha,
ICV_WARP_MUL_ONE_8U, ICV_WARP_DESCALE_8U )
ICV_DEF_RESIZE_BILINEAR_FUNC( 16u, ushort, float, alpha, CV_NOP, cvRound )
ICV_DEF_RESIZE_BILINEAR_FUNC( 32f, float, float, alpha, CV_NOP, CV_NOP )
ICV_DEF_RESIZE_BICUBIC_FUNC( 8u, uchar, int, CV_8TO32F, cvRound, CV_CAST_8U )
ICV_DEF_RESIZE_BICUBIC_FUNC( 16u, ushort, int, CV_NOP, cvRound, CV_CAST_16U )
ICV_DEF_RESIZE_BICUBIC_FUNC( 32f, float, float, CV_NOP, CV_NOP, CV_NOP )
ICV_DEF_RESIZE_AREA_FAST_FUNC( 8u, uchar, int, cvRound )
ICV_DEF_RESIZE_AREA_FAST_FUNC( 16u, ushort, int, cvRound )
ICV_DEF_RESIZE_AREA_FAST_FUNC( 32f, float, float, CV_NOP )
ICV_DEF_RESIZE_AREA_FUNC( 8u, uchar, CV_8TO32F, cvRound )
ICV_DEF_RESIZE_AREA_FUNC( 16u, ushort, CV_NOP, cvRound )
ICV_DEF_RESIZE_AREA_FUNC( 32f, float, CV_NOP, CV_NOP )
static void icvInitResizeTab( CvFuncTable* bilin_tab,
CvFuncTable* bicube_tab,
CvFuncTable* areafast_tab,
CvFuncTable* area_tab )
{
bilin_tab->fn_2d[CV_8U] = (void*)icvResize_Bilinear_8u_CnR;
bilin_tab->fn_2d[CV_16U] = (void*)icvResize_Bilinear_16u_CnR;
bilin_tab->fn_2d[CV_32F] = (void*)icvResize_Bilinear_32f_CnR;
bicube_tab->fn_2d[CV_8U] = (void*)icvResize_Bicubic_8u_CnR;
bicube_tab->fn_2d[CV_16U] = (void*)icvResize_Bicubic_16u_CnR;
bicube_tab->fn_2d[CV_32F] = (void*)icvResize_Bicubic_32f_CnR;
areafast_tab->fn_2d[CV_8U] = (void*)icvResize_AreaFast_8u_CnR;
areafast_tab->fn_2d[CV_16U] = (void*)icvResize_AreaFast_16u_CnR;
areafast_tab->fn_2d[CV_32F] = (void*)icvResize_AreaFast_32f_CnR;
area_tab->fn_2d[CV_8U] = (void*)icvResize_Area_8u_CnR;
area_tab->fn_2d[CV_16U] = (void*)icvResize_Area_16u_CnR;
area_tab->fn_2d[CV_32F] = (void*)icvResize_Area_32f_CnR;
}
typedef CvStatus (CV_STDCALL * CvResizeBilinearFunc)
( const void* src, int srcstep, CvSize ssize,
void* dst, int dststep, CvSize dsize,
int cn, int xmax, const CvResizeAlpha* xofs,
const CvResizeAlpha* yofs, float* buf0, float* buf1 );
typedef CvStatus (CV_STDCALL * CvResizeBicubicFunc)
( const void* src, int srcstep, CvSize ssize,
void* dst, int dststep, CvSize dsize,
int cn, int xmin, int xmax,
const CvResizeAlpha* xofs, float** buf );
typedef CvStatus (CV_STDCALL * CvResizeAreaFastFunc)
( const void* src, int srcstep, CvSize ssize,
void* dst, int dststep, CvSize dsize,
int cn, const int* ofs, const int *xofs );
typedef CvStatus (CV_STDCALL * CvResizeAreaFunc)
( const void* src, int srcstep, CvSize ssize,
void* dst, int dststep, CvSize dsize,
int cn, const CvDecimateAlpha* xofs,
int xofs_count, float* buf, float* sum );
////////////////////////////////// IPP resize functions //////////////////////////////////
icvResize_8u_C1R_t icvResize_8u_C1R_p = 0;
icvResize_8u_C3R_t icvResize_8u_C3R_p = 0;
icvResize_8u_C4R_t icvResize_8u_C4R_p = 0;
icvResize_16u_C1R_t icvResize_16u_C1R_p = 0;
icvResize_16u_C3R_t icvResize_16u_C3R_p = 0;
icvResize_16u_C4R_t icvResize_16u_C4R_p = 0;
icvResize_32f_C1R_t icvResize_32f_C1R_p = 0;
icvResize_32f_C3R_t icvResize_32f_C3R_p = 0;
icvResize_32f_C4R_t icvResize_32f_C4R_p = 0;
typedef CvStatus (CV_STDCALL * CvResizeIPPFunc)
( const void* src, CvSize srcsize, int srcstep, CvRect srcroi,
void* dst, int dststep, CvSize dstroi,
double xfactor, double yfactor, int interpolation );
//////////////////////////////////////////////////////////////////////////////////////////
CV_IMPL void
cvResize( const CvArr* srcarr, CvArr* dstarr, int method )
{
static CvFuncTable bilin_tab, bicube_tab, areafast_tab, area_tab;
static int inittab = 0;
void* temp_buf = 0;
CV_FUNCNAME( "cvResize" );
__BEGIN__;
CvMat srcstub, *src = (CvMat*)srcarr;
CvMat dststub, *dst = (CvMat*)dstarr;
CvSize ssize, dsize;
float scale_x, scale_y;
int k, sx, sy, dx, dy;
int type, depth, cn;
CV_CALL( src = cvGetMat( srcarr, &srcstub ));
CV_CALL( dst = cvGetMat( dstarr, &dststub ));
if( CV_ARE_SIZES_EQ( src, dst ))
{
CV_CALL( cvCopy( src, dst ));
EXIT;
}
if( !CV_ARE_TYPES_EQ( src, dst ))
CV_ERROR( CV_StsUnmatchedFormats, "" );
if( !inittab )
{
icvInitResizeTab( &bilin_tab, &bicube_tab, &areafast_tab, &area_tab );
inittab = 1;
}
ssize = cvGetMatSize( src );
dsize = cvGetMatSize( dst );
type = CV_MAT_TYPE(src->type);
depth = CV_MAT_DEPTH(type);
cn = CV_MAT_CN(type);
scale_x = (float)ssize.width/dsize.width;
scale_y = (float)ssize.height/dsize.height;
if( method == CV_INTER_CUBIC &&
(MIN(ssize.width, dsize.width) <= 4 ||
MIN(ssize.height, dsize.height) <= 4) )
method = CV_INTER_LINEAR;
if( icvResize_8u_C1R_p &&
MIN(ssize.width, dsize.width) > 4 &&
MIN(ssize.height, dsize.height) > 4 )
{
CvResizeIPPFunc ipp_func =
type == CV_8UC1 ? icvResize_8u_C1R_p :
type == CV_8UC3 ? icvResize_8u_C3R_p :
type == CV_8UC4 ? icvResize_8u_C4R_p :
type == CV_16UC1 ? icvResize_16u_C1R_p :
type == CV_16UC3 ? icvResize_16u_C3R_p :
type == CV_16UC4 ? icvResize_16u_C4R_p :
type == CV_32FC1 ? icvResize_32f_C1R_p :
type == CV_32FC3 ? icvResize_32f_C3R_p :
type == CV_32FC4 ? icvResize_32f_C4R_p : 0;
if( ipp_func && (CV_INTER_NN < method && method < CV_INTER_AREA))
{
int srcstep = src->step ? src->step : CV_STUB_STEP;
int dststep = dst->step ? dst->step : CV_STUB_STEP;
IPPI_CALL( ipp_func( src->data.ptr, ssize, srcstep,
cvRect(0,0,ssize.width,ssize.height),
dst->data.ptr, dststep, dsize,
(double)dsize.width/ssize.width,
(double)dsize.height/ssize.height, 1 << method ));
EXIT;
}
}
if( method == CV_INTER_NN )
{
IPPI_CALL( icvResize_NN_8u_C1R( src->data.ptr, src->step, ssize,
dst->data.ptr, dst->step, dsize,
CV_ELEM_SIZE(src->type)));
}
else if( method == CV_INTER_LINEAR || method == CV_INTER_AREA )
{
if( method == CV_INTER_AREA &&
ssize.width >= dsize.width && ssize.height >= dsize.height )
{
// "area" method for (scale_x > 1 & scale_y > 1)
int iscale_x = cvRound(scale_x);
int iscale_y = cvRound(scale_y);
if( fabs(scale_x - iscale_x) < DBL_EPSILON &&
fabs(scale_y - iscale_y) < DBL_EPSILON )
{
int area = iscale_x*iscale_y;
int srcstep = src->step / CV_ELEM_SIZE(depth);
int* ofs = (int*)cvStackAlloc( (area + dsize.width*cn)*sizeof(int) );
int* xofs = ofs + area;
CvResizeAreaFastFunc func = (CvResizeAreaFastFunc)areafast_tab.fn_2d[depth];
if( !func )
CV_ERROR( CV_StsUnsupportedFormat, "" );
for( sy = 0, k = 0; sy < iscale_y; sy++ )
for( sx = 0; sx < iscale_x; sx++ )
ofs[k++] = sy*srcstep + sx*cn;
for( dx = 0; dx < dsize.width; dx++ )
{
sx = dx*iscale_x*cn;
for( k = 0; k < cn; k++ )
xofs[dx*cn + k] = sx + k;
}
IPPI_CALL( func( src->data.ptr, src->step, ssize, dst->data.ptr,
dst->step, dsize, cn, ofs, xofs ));
}
else
{
int buf_len = dsize.width*cn + 4, buf_size, xofs_count = 0;
float scale = 1.f/(scale_x*scale_y);
float *buf, *sum;
CvDecimateAlpha* xofs;
CvResizeAreaFunc func = (CvResizeAreaFunc)area_tab.fn_2d[depth];
if( !func || cn > 4 )
CV_ERROR( CV_StsUnsupportedFormat, "" );
buf_size = buf_len*2*sizeof(float) + ssize.width*2*sizeof(CvDecimateAlpha);
if( buf_size < CV_MAX_LOCAL_SIZE )
buf = (float*)cvStackAlloc(buf_size);
else
CV_CALL( temp_buf = buf = (float*)cvAlloc(buf_size));
sum = buf + buf_len;
xofs = (CvDecimateAlpha*)(sum + buf_len);
for( dx = 0, k = 0; dx < dsize.width; dx++ )
{
float fsx1 = dx*scale_x, fsx2 = fsx1 + scale_x;
int sx1 = cvCeil(fsx1), sx2 = cvFloor(fsx2);
assert( (unsigned)sx1 < (unsigned)ssize.width );
if( sx1 > fsx1 )
{
assert( k < ssize.width*2 );
xofs[k].di = dx*cn;
xofs[k].si = (sx1-1)*cn;
xofs[k++].alpha = (sx1 - fsx1)*scale;
}
for( sx = sx1; sx < sx2; sx++ )
{
assert( k < ssize.width*2 );
xofs[k].di = dx*cn;
xofs[k].si = sx*cn;
xofs[k++].alpha = scale;
}
if( fsx2 - sx2 > 1e-3 )
{
assert( k < ssize.width*2 );
assert((unsigned)sx2 < (unsigned)ssize.width );
xofs[k].di = dx*cn;
xofs[k].si = sx2*cn;
xofs[k++].alpha = (fsx2 - sx2)*scale;
}
}
xofs_count = k;
memset( sum, 0, buf_len*sizeof(float) );
memset( buf, 0, buf_len*sizeof(float) );
IPPI_CALL( func( src->data.ptr, src->step, ssize, dst->data.ptr,
dst->step, dsize, cn, xofs, xofs_count, buf, sum ));
}
}
else // true "area" method for the cases (scale_x > 1 & scale_y < 1) and
// (scale_x < 1 & scale_y > 1) is not implemented.
// instead, it is emulated via some variant of bilinear interpolation.
{
float inv_scale_x = (float)dsize.width/ssize.width;
float inv_scale_y = (float)dsize.height/ssize.height;
int xmax = dsize.width, width = dsize.width*cn, buf_size;
float *buf0, *buf1;
CvResizeAlpha *xofs, *yofs;
int area_mode = method == CV_INTER_AREA;
float fx, fy;
CvResizeBilinearFunc func = (CvResizeBilinearFunc)bilin_tab.fn_2d[depth];
if( !func )
CV_ERROR( CV_StsUnsupportedFormat, "" );
buf_size = width*2*sizeof(float) + (width + dsize.height)*sizeof(CvResizeAlpha);
if( buf_size < CV_MAX_LOCAL_SIZE )
buf0 = (float*)cvStackAlloc(buf_size);
else
CV_CALL( temp_buf = buf0 = (float*)cvAlloc(buf_size));
buf1 = buf0 + width;
xofs = (CvResizeAlpha*)(buf1 + width);
yofs = xofs + width;
for( dx = 0; dx < dsize.width; dx++ )
{
if( !area_mode )
{
fx = (float)((dx+0.5)*scale_x - 0.5);
sx = cvFloor(fx);
fx -= sx;
}
else
{
sx = cvFloor(dx*scale_x);
fx = (dx+1) - (sx+1)*inv_scale_x;
fx = fx <= 0 ? 0.f : fx - cvFloor(fx);
}
if( sx < 0 )
fx = 0, sx = 0;
if( sx >= ssize.width-1 )
{
fx = 0, sx = ssize.width-1;
if( xmax >= dsize.width )
xmax = dx;
}
if( depth != CV_8U )
for( k = 0, sx *= cn; k < cn; k++ )
xofs[dx*cn + k].idx = sx + k, xofs[dx*cn + k].alpha = fx;
else
for( k = 0, sx *= cn; k < cn; k++ )
xofs[dx*cn + k].idx = sx + k,
xofs[dx*cn + k].ialpha = CV_FLT_TO_FIX(fx, ICV_WARP_SHIFT);
}
for( dy = 0; dy < dsize.height; dy++ )
{
if( !area_mode )
{
fy = (float)((dy+0.5)*scale_y - 0.5);
sy = cvFloor(fy);
fy -= sy;
if( sy < 0 )
sy = 0, fy = 0;
}
else
{
sy = cvFloor(dy*scale_y);
fy = (dy+1) - (sy+1)*inv_scale_y;
fy = fy <= 0 ? 0.f : fy - cvFloor(fy);
}
yofs[dy].idx = sy;
if( depth != CV_8U )
yofs[dy].alpha = fy;
else
yofs[dy].ialpha = CV_FLT_TO_FIX(fy, ICV_WARP_SHIFT);
}
IPPI_CALL( func( src->data.ptr, src->step, ssize, dst->data.ptr,
dst->step, dsize, cn, xmax, xofs, yofs, buf0, buf1 ));
}
}
else if( method == CV_INTER_CUBIC )
{
int width = dsize.width*cn, buf_size;
int xmin = dsize.width, xmax = -1;
CvResizeAlpha* xofs;
float* buf[4];
CvResizeBicubicFunc func = (CvResizeBicubicFunc)bicube_tab.fn_2d[depth];
if( !func )
CV_ERROR( CV_StsUnsupportedFormat, "" );
buf_size = width*(4*sizeof(float) + sizeof(xofs[0]));
if( buf_size < CV_MAX_LOCAL_SIZE )
buf[0] = (float*)cvStackAlloc(buf_size);
else
CV_CALL( temp_buf = buf[0] = (float*)cvAlloc(buf_size));
for( k = 1; k < 4; k++ )
buf[k] = buf[k-1] + width;
xofs = (CvResizeAlpha*)(buf[3] + width);
icvInitCubicCoeffTab();
for( dx = 0; dx < dsize.width; dx++ )
{
float fx = dx*scale_x;
sx = cvFloor(fx);
fx -= sx;
int ifx = cvRound(fx*ICV_CUBIC_TAB_SIZE);
if( sx-1 >= 0 && xmin > dx )
xmin = dx;
if( sx+2 < ssize.width )
xmax = dx + 1;
// at least one of 4 points should be within the image - to
// be able to set other points to the same value. see the loops
// for( dx = 0; dx < xmin; dx++ ) ... and for( ; dx < width; dx++ ) ...
if( sx < -2 )
sx = -2;
else if( sx > ssize.width )
sx = ssize.width;
for( k = 0; k < cn; k++ )
{
xofs[dx*cn + k].idx = sx*cn + k;
xofs[dx*cn + k].ialpha = ifx;
}
}
IPPI_CALL( func( src->data.ptr, src->step, ssize, dst->data.ptr,
dst->step, dsize, cn, xmin, xmax, xofs, buf ));
}
else
CV_ERROR( CV_StsBadFlag, "Unknown/unsupported interpolation method" );
__END__;
cvFree( &temp_buf );
}
/****************************************************************************************\
* WarpAffine *
\****************************************************************************************/
#define ICV_DEF_WARP_AFFINE_BILINEAR_FUNC( flavor, arrtype, worktype, \
scale_alpha_macro, mul_one_macro, descale_macro, cast_macro ) \
static CvStatus CV_STDCALL \
icvWarpAffine_Bilinear_##flavor##_CnR( \
const arrtype* src, int step, CvSize ssize, \
arrtype* dst, int dststep, CvSize dsize, \
const double* matrix, int cn, \
const arrtype* fillval, const int* ofs ) \
{ \
int x, y, k; \
double A12 = matrix[1], b1 = matrix[2]; \
double A22 = matrix[4], b2 = matrix[5]; \
\
step /= sizeof(src[0]); \
dststep /= sizeof(dst[0]); \
\
for( y = 0; y < dsize.height; y++, dst += dststep ) \
{ \
int xs = CV_FLT_TO_FIX( A12*y + b1, ICV_WARP_SHIFT ); \
int ys = CV_FLT_TO_FIX( A22*y + b2, ICV_WARP_SHIFT ); \
\
for( x = 0; x < dsize.width; x++ ) \
{ \
int ixs = xs + ofs[x*2]; \
int iys = ys + ofs[x*2+1]; \
worktype a = scale_alpha_macro( ixs & ICV_WARP_MASK ); \
worktype b = scale_alpha_macro( iys & ICV_WARP_MASK ); \
worktype p0, p1; \
ixs >>= ICV_WARP_SHIFT; \
iys >>= ICV_WARP_SHIFT; \
\
if( (unsigned)ixs < (unsigned)(ssize.width - 1) && \
(unsigned)iys < (unsigned)(ssize.height - 1) ) \
{ \
const arrtype* ptr = src + step*iys + ixs*cn; \
\
for( k = 0; k < cn; k++ ) \
{ \
p0 = mul_one_macro(ptr[k]) + \
a * (ptr[k+cn] - ptr[k]); \
p1 = mul_one_macro(ptr[k+step]) + \
a * (ptr[k+cn+step] - ptr[k+step]); \
p0 = descale_macro(mul_one_macro(p0) + b*(p1 - p0)); \
dst[x*cn+k] = (arrtype)cast_macro(p0); \
} \
} \
else if( (unsigned)(ixs+1) < (unsigned)(ssize.width+1) && \
(unsigned)(iys+1) < (unsigned)(ssize.height+1)) \
{ \
int x0 = ICV_WARP_CLIP_X( ixs ); \
int y0 = ICV_WARP_CLIP_Y( iys ); \
int x1 = ICV_WARP_CLIP_X( ixs + 1 ); \
int y1 = ICV_WARP_CLIP_Y( iys + 1 ); \
const arrtype* ptr0, *ptr1, *ptr2, *ptr3; \
\
ptr0 = src + y0*step + x0*cn; \
ptr1 = src + y0*step + x1*cn; \
ptr2 = src + y1*step + x0*cn; \
ptr3 = src + y1*step + x1*cn; \
\
for( k = 0; k < cn; k++ ) \
{ \
p0 = mul_one_macro(ptr0[k]) + a * (ptr1[k] - ptr0[k]); \
p1 = mul_one_macro(ptr2[k]) + a * (ptr3[k] - ptr2[k]); \
p0 = descale_macro( mul_one_macro(p0) + b*(p1 - p0) ); \
dst[x*cn+k] = (arrtype)cast_macro(p0); \
} \
} \
else if( fillval ) \
for( k = 0; k < cn; k++ ) \
dst[x*cn+k] = fillval[k]; \
} \
} \
\
return CV_OK; \
}
#define ICV_WARP_SCALE_ALPHA(x) ((x)*(1./(ICV_WARP_MASK+1)))
ICV_DEF_WARP_AFFINE_BILINEAR_FUNC( 8u, uchar, int, CV_NOP, ICV_WARP_MUL_ONE_8U,
ICV_WARP_DESCALE_8U, CV_NOP )
//ICV_DEF_WARP_AFFINE_BILINEAR_FUNC( 8u, uchar, double, ICV_WARP_SCALE_ALPHA, CV_NOP,
// CV_NOP, ICV_WARP_CAST_8U )
ICV_DEF_WARP_AFFINE_BILINEAR_FUNC( 16u, ushort, double, ICV_WARP_SCALE_ALPHA, CV_NOP,
CV_NOP, cvRound )
ICV_DEF_WARP_AFFINE_BILINEAR_FUNC( 32f, float, double, ICV_WARP_SCALE_ALPHA, CV_NOP,
CV_NOP, CV_NOP )
typedef CvStatus (CV_STDCALL * CvWarpAffineFunc)(
const void* src, int srcstep, CvSize ssize,
void* dst, int dststep, CvSize dsize,
const double* matrix, int cn,
const void* fillval, const int* ofs );
static void icvInitWarpAffineTab( CvFuncTable* bilin_tab )
{
bilin_tab->fn_2d[CV_8U] = (void*)icvWarpAffine_Bilinear_8u_CnR;
bilin_tab->fn_2d[CV_16U] = (void*)icvWarpAffine_Bilinear_16u_CnR;
bilin_tab->fn_2d[CV_32F] = (void*)icvWarpAffine_Bilinear_32f_CnR;
}
/////////////////////////////// IPP warpaffine functions /////////////////////////////////
icvWarpAffineBack_8u_C1R_t icvWarpAffineBack_8u_C1R_p = 0;
icvWarpAffineBack_8u_C3R_t icvWarpAffineBack_8u_C3R_p = 0;
icvWarpAffineBack_8u_C4R_t icvWarpAffineBack_8u_C4R_p = 0;
icvWarpAffineBack_32f_C1R_t icvWarpAffineBack_32f_C1R_p = 0;
icvWarpAffineBack_32f_C3R_t icvWarpAffineBack_32f_C3R_p = 0;
icvWarpAffineBack_32f_C4R_t icvWarpAffineBack_32f_C4R_p = 0;
typedef CvStatus (CV_STDCALL * CvWarpAffineBackIPPFunc)
( const void* src, CvSize srcsize, int srcstep, CvRect srcroi,
void* dst, int dststep, CvRect dstroi,
const double* coeffs, int interpolation );
//////////////////////////////////////////////////////////////////////////////////////////
CV_IMPL void
cvWarpAffine( const CvArr* srcarr, CvArr* dstarr, const CvMat* matrix,
int flags, CvScalar fillval )
{
static CvFuncTable bilin_tab;
static int inittab = 0;
CV_FUNCNAME( "cvWarpAffine" );
__BEGIN__;
CvMat srcstub, *src = (CvMat*)srcarr;
CvMat dststub, *dst = (CvMat*)dstarr;
int k, type, depth, cn, *ofs = 0;
double src_matrix[6], dst_matrix[6];
double fillbuf[4];
int method = flags & 3;
CvMat srcAb = cvMat( 2, 3, CV_64F, src_matrix ),
dstAb = cvMat( 2, 3, CV_64F, dst_matrix ),
A, b, invA, invAb;
CvWarpAffineFunc func;
CvSize ssize, dsize;
if( !inittab )
{
icvInitWarpAffineTab( &bilin_tab );
inittab = 1;
}
CV_CALL( src = cvGetMat( srcarr, &srcstub ));
CV_CALL( dst = cvGetMat( dstarr, &dststub ));
if( !CV_ARE_TYPES_EQ( src, dst ))
CV_ERROR( CV_StsUnmatchedFormats, "" );
if( !CV_IS_MAT(matrix) || CV_MAT_CN(matrix->type) != 1 ||
CV_MAT_DEPTH(matrix->type) < CV_32F || matrix->rows != 2 || matrix->cols != 3 )
CV_ERROR( CV_StsBadArg,
"Transformation matrix should be 2x3 floating-point single-channel matrix" );
if( flags & CV_WARP_INVERSE_MAP )
cvConvertScale( matrix, &dstAb );
else
{
// [R|t] -> [R^-1 | -(R^-1)*t]
cvConvertScale( matrix, &srcAb );
cvGetCols( &srcAb, &A, 0, 2 );
cvGetCol( &srcAb, &b, 2 );
cvGetCols( &dstAb, &invA, 0, 2 );
cvGetCol( &dstAb, &invAb, 2 );
cvInvert( &A, &invA, CV_SVD );
cvGEMM( &invA, &b, -1, 0, 0, &invAb );
}
type = CV_MAT_TYPE(src->type);
depth = CV_MAT_DEPTH(type);
cn = CV_MAT_CN(type);
if( cn > 4 )
CV_ERROR( CV_BadNumChannels, "" );
ssize = cvGetMatSize(src);
dsize = cvGetMatSize(dst);
if( icvWarpAffineBack_8u_C1R_p && MIN( ssize.width, dsize.width ) >= 4 &&
MIN( ssize.height, dsize.height ) >= 4 )
{
CvWarpAffineBackIPPFunc ipp_func =
type == CV_8UC1 ? icvWarpAffineBack_8u_C1R_p :
type == CV_8UC3 ? icvWarpAffineBack_8u_C3R_p :
type == CV_8UC4 ? icvWarpAffineBack_8u_C4R_p :
type == CV_32FC1 ? icvWarpAffineBack_32f_C1R_p :
type == CV_32FC3 ? icvWarpAffineBack_32f_C3R_p :
type == CV_32FC4 ? icvWarpAffineBack_32f_C4R_p : 0;
if( ipp_func && CV_INTER_NN <= method && method <= CV_INTER_AREA )
{
int srcstep = src->step ? src->step : CV_STUB_STEP;
int dststep = dst->step ? dst->step : CV_STUB_STEP;
CvRect srcroi = {0, 0, ssize.width, ssize.height};
CvRect dstroi = {0, 0, dsize.width, dsize.height};
// this is not the most efficient way to fill outliers
if( flags & CV_WARP_FILL_OUTLIERS )
cvSet( dst, fillval );
if( ipp_func( src->data.ptr, ssize, srcstep, srcroi,
dst->data.ptr, dststep, dstroi,
dstAb.data.db, 1 << method ) >= 0 )
EXIT;
}
}
cvScalarToRawData( &fillval, fillbuf, CV_MAT_TYPE(src->type), 0 );
ofs = (int*)cvStackAlloc( dst->cols*2*sizeof(ofs[0]) );
for( k = 0; k < dst->cols; k++ )
{
ofs[2*k] = CV_FLT_TO_FIX( dst_matrix[0]*k, ICV_WARP_SHIFT );
ofs[2*k+1] = CV_FLT_TO_FIX( dst_matrix[3]*k, ICV_WARP_SHIFT );
}
/*if( method == CV_INTER_LINEAR )*/
{
func = (CvWarpAffineFunc)bilin_tab.fn_2d[depth];
if( !func )
CV_ERROR( CV_StsUnsupportedFormat, "" );
IPPI_CALL( func( src->data.ptr, src->step, ssize, dst->data.ptr,
dst->step, dsize, dst_matrix, cn,
flags & CV_WARP_FILL_OUTLIERS ? fillbuf : 0, ofs ));
}
__END__;
}
CV_IMPL CvMat*
cv2DRotationMatrix( CvPoint2D32f center, double angle,
double scale, CvMat* matrix )
{
CV_FUNCNAME( "cvGetRotationMatrix" );
__BEGIN__;
double m[2][3];
CvMat M = cvMat( 2, 3, CV_64FC1, m );
double alpha, beta;
if( !matrix )
CV_ERROR( CV_StsNullPtr, "" );
angle *= CV_PI/180;
alpha = cos(angle)*scale;
beta = sin(angle)*scale;
m[0][0] = alpha;
m[0][1] = beta;
m[0][2] = (1-alpha)*center.x - beta*center.y;
m[1][0] = -beta;
m[1][1] = alpha;
m[1][2] = beta*center.x + (1-alpha)*center.y;
cvConvert( &M, matrix );
__END__;
return matrix;
}
/****************************************************************************************\
* WarpPerspective *
\****************************************************************************************/
#define ICV_DEF_WARP_PERSPECTIVE_BILINEAR_FUNC( flavor, arrtype, load_macro, cast_macro )\
static CvStatus CV_STDCALL \
icvWarpPerspective_Bilinear_##flavor##_CnR( \
const arrtype* src, int step, CvSize ssize, \
arrtype* dst, int dststep, CvSize dsize, \
const double* matrix, int cn, \
const arrtype* fillval ) \
{ \
int x, y, k; \
float A11 = (float)matrix[0], A12 = (float)matrix[1], A13 = (float)matrix[2];\
float A21 = (float)matrix[3], A22 = (float)matrix[4], A23 = (float)matrix[5];\
float A31 = (float)matrix[6], A32 = (float)matrix[7], A33 = (float)matrix[8];\
\
step /= sizeof(src[0]); \
dststep /= sizeof(dst[0]); \
\
for( y = 0; y < dsize.height; y++, dst += dststep ) \
{ \
float xs0 = A12*y + A13; \
float ys0 = A22*y + A23; \
float ws = A32*y + A33; \
\
for( x = 0; x < dsize.width; x++, xs0 += A11, ys0 += A21, ws += A31 )\
{ \
float inv_ws = 1.f/ws; \
float xs = xs0*inv_ws; \
float ys = ys0*inv_ws; \
int ixs = cvFloor(xs); \
int iys = cvFloor(ys); \
float a = xs - ixs; \
float b = ys - iys; \
float p0, p1; \
\
if( (unsigned)ixs < (unsigned)(ssize.width - 1) && \
(unsigned)iys < (unsigned)(ssize.height - 1) ) \
{ \
const arrtype* ptr = src + step*iys + ixs*cn; \
\
for( k = 0; k < cn; k++ ) \
{ \
p0 = load_macro(ptr[k]) + \
a * (load_macro(ptr[k+cn]) - load_macro(ptr[k])); \
p1 = load_macro(ptr[k+step]) + \
a * (load_macro(ptr[k+cn+step]) - \
load_macro(ptr[k+step])); \
dst[x*cn+k] = (arrtype)cast_macro(p0 + b*(p1 - p0)); \
} \
} \
else if( (unsigned)(ixs+1) < (unsigned)(ssize.width+1) && \
(unsigned)(iys+1) < (unsigned)(ssize.height+1)) \
{ \
int x0 = ICV_WARP_CLIP_X( ixs ); \
int y0 = ICV_WARP_CLIP_Y( iys ); \
int x1 = ICV_WARP_CLIP_X( ixs + 1 ); \
int y1 = ICV_WARP_CLIP_Y( iys + 1 ); \
const arrtype* ptr0, *ptr1, *ptr2, *ptr3; \
\
ptr0 = src + y0*step + x0*cn; \
ptr1 = src + y0*step + x1*cn; \
ptr2 = src + y1*step + x0*cn; \
ptr3 = src + y1*step + x1*cn; \
\
for( k = 0; k < cn; k++ ) \
{ \
p0 = load_macro(ptr0[k]) + \
a * (load_macro(ptr1[k]) - load_macro(ptr0[k])); \
p1 = load_macro(ptr2[k]) + \
a * (load_macro(ptr3[k]) - load_macro(ptr2[k])); \
dst[x*cn+k] = (arrtype)cast_macro(p0 + b*(p1 - p0)); \
} \
} \
else if( fillval ) \
for( k = 0; k < cn; k++ ) \
dst[x*cn+k] = fillval[k]; \
} \
} \
\
return CV_OK; \
}
#define ICV_WARP_SCALE_ALPHA(x) ((x)*(1./(ICV_WARP_MASK+1)))
ICV_DEF_WARP_PERSPECTIVE_BILINEAR_FUNC( 8u, uchar, CV_8TO32F, cvRound )
ICV_DEF_WARP_PERSPECTIVE_BILINEAR_FUNC( 16u, ushort, CV_NOP, cvRound )
ICV_DEF_WARP_PERSPECTIVE_BILINEAR_FUNC( 32f, float, CV_NOP, CV_NOP )
typedef CvStatus (CV_STDCALL * CvWarpPerspectiveFunc)(
const void* src, int srcstep, CvSize ssize,
void* dst, int dststep, CvSize dsize,
const double* matrix, int cn, const void* fillval );
static void icvInitWarpPerspectiveTab( CvFuncTable* bilin_tab )
{
bilin_tab->fn_2d[CV_8U] = (void*)icvWarpPerspective_Bilinear_8u_CnR;
bilin_tab->fn_2d[CV_16U] = (void*)icvWarpPerspective_Bilinear_16u_CnR;
bilin_tab->fn_2d[CV_32F] = (void*)icvWarpPerspective_Bilinear_32f_CnR;
}
/////////////////////////// IPP warpperspective functions ////////////////////////////////
icvWarpPerspectiveBack_8u_C1R_t icvWarpPerspectiveBack_8u_C1R_p = 0;
icvWarpPerspectiveBack_8u_C3R_t icvWarpPerspectiveBack_8u_C3R_p = 0;
icvWarpPerspectiveBack_8u_C4R_t icvWarpPerspectiveBack_8u_C4R_p = 0;
icvWarpPerspectiveBack_32f_C1R_t icvWarpPerspectiveBack_32f_C1R_p = 0;
icvWarpPerspectiveBack_32f_C3R_t icvWarpPerspectiveBack_32f_C3R_p = 0;
icvWarpPerspectiveBack_32f_C4R_t icvWarpPerspectiveBack_32f_C4R_p = 0;
icvWarpPerspective_8u_C1R_t icvWarpPerspective_8u_C1R_p = 0;
icvWarpPerspective_8u_C3R_t icvWarpPerspective_8u_C3R_p = 0;
icvWarpPerspective_8u_C4R_t icvWarpPerspective_8u_C4R_p = 0;
icvWarpPerspective_32f_C1R_t icvWarpPerspective_32f_C1R_p = 0;
icvWarpPerspective_32f_C3R_t icvWarpPerspective_32f_C3R_p = 0;
icvWarpPerspective_32f_C4R_t icvWarpPerspective_32f_C4R_p = 0;
typedef CvStatus (CV_STDCALL * CvWarpPerspectiveBackIPPFunc)
( const void* src, CvSize srcsize, int srcstep, CvRect srcroi,
void* dst, int dststep, CvRect dstroi,
const double* coeffs, int interpolation );
//////////////////////////////////////////////////////////////////////////////////////////
CV_IMPL void
cvWarpPerspective( const CvArr* srcarr, CvArr* dstarr,
const CvMat* matrix, int flags, CvScalar fillval )
{
static CvFuncTable bilin_tab;
static int inittab = 0;
CV_FUNCNAME( "cvWarpPerspective" );
__BEGIN__;
CvMat srcstub, *src = (CvMat*)srcarr;
CvMat dststub, *dst = (CvMat*)dstarr;
int type, depth, cn;
int method = flags & 3;
double src_matrix[9], dst_matrix[9];
double fillbuf[4];
CvMat A = cvMat( 3, 3, CV_64F, src_matrix ),
invA = cvMat( 3, 3, CV_64F, dst_matrix );
CvWarpPerspectiveFunc func;
CvSize ssize, dsize;
if( method == CV_INTER_NN || method == CV_INTER_AREA )
method = CV_INTER_LINEAR;
if( !inittab )
{
icvInitWarpPerspectiveTab( &bilin_tab );
inittab = 1;
}
CV_CALL( src = cvGetMat( srcarr, &srcstub ));
CV_CALL( dst = cvGetMat( dstarr, &dststub ));
if( !CV_ARE_TYPES_EQ( src, dst ))
CV_ERROR( CV_StsUnmatchedFormats, "" );
if( !CV_IS_MAT(matrix) || CV_MAT_CN(matrix->type) != 1 ||
CV_MAT_DEPTH(matrix->type) < CV_32F || matrix->rows != 3 || matrix->cols != 3 )
CV_ERROR( CV_StsBadArg,
"Transformation matrix should be 3x3 floating-point single-channel matrix" );
if( flags & CV_WARP_INVERSE_MAP )
cvConvertScale( matrix, &invA );
else
{
cvConvertScale( matrix, &A );
cvInvert( &A, &invA, CV_SVD );
}
type = CV_MAT_TYPE(src->type);
depth = CV_MAT_DEPTH(type);
cn = CV_MAT_CN(type);
if( cn > 4 )
CV_ERROR( CV_BadNumChannels, "" );
ssize = cvGetMatSize(src);
dsize = cvGetMatSize(dst);
if( icvWarpPerspectiveBack_8u_C1R_p )
{
CvWarpPerspectiveBackIPPFunc ipp_func =
type == CV_8UC1 ? icvWarpPerspectiveBack_8u_C1R_p :
type == CV_8UC3 ? icvWarpPerspectiveBack_8u_C3R_p :
type == CV_8UC4 ? icvWarpPerspectiveBack_8u_C4R_p :
type == CV_32FC1 ? icvWarpPerspectiveBack_32f_C1R_p :
type == CV_32FC3 ? icvWarpPerspectiveBack_32f_C3R_p :
type == CV_32FC4 ? icvWarpPerspectiveBack_32f_C4R_p : 0;
if( ipp_func && CV_INTER_NN <= method && method <= CV_INTER_AREA &&
MIN(ssize.width,ssize.height) >= 4 && MIN(dsize.width,dsize.height) >= 4 )
{
int srcstep = src->step ? src->step : CV_STUB_STEP;
int dststep = dst->step ? dst->step : CV_STUB_STEP;
CvStatus status;
CvRect srcroi = {0, 0, ssize.width, ssize.height};
CvRect dstroi = {0, 0, dsize.width, dsize.height};
// this is not the most efficient way to fill outliers
if( flags & CV_WARP_FILL_OUTLIERS )
cvSet( dst, fillval );
status = ipp_func( src->data.ptr, ssize, srcstep, srcroi,
dst->data.ptr, dststep, dstroi,
invA.data.db, 1 << method );
if( status >= 0 )
EXIT;
ipp_func = type == CV_8UC1 ? icvWarpPerspective_8u_C1R_p :
type == CV_8UC3 ? icvWarpPerspective_8u_C3R_p :
type == CV_8UC4 ? icvWarpPerspective_8u_C4R_p :
type == CV_32FC1 ? icvWarpPerspective_32f_C1R_p :
type == CV_32FC3 ? icvWarpPerspective_32f_C3R_p :
type == CV_32FC4 ? icvWarpPerspective_32f_C4R_p : 0;
if( ipp_func )
{
if( flags & CV_WARP_INVERSE_MAP )
cvInvert( &invA, &A, CV_SVD );
status = ipp_func( src->data.ptr, ssize, srcstep, srcroi,
dst->data.ptr, dststep, dstroi,
A.data.db, 1 << method );
if( status >= 0 )
EXIT;
}
}
}
cvScalarToRawData( &fillval, fillbuf, CV_MAT_TYPE(src->type), 0 );
/*if( method == CV_INTER_LINEAR )*/
{
func = (CvWarpPerspectiveFunc)bilin_tab.fn_2d[depth];
if( !func )
CV_ERROR( CV_StsUnsupportedFormat, "" );
IPPI_CALL( func( src->data.ptr, src->step, ssize, dst->data.ptr,
dst->step, dsize, dst_matrix, cn,
flags & CV_WARP_FILL_OUTLIERS ? fillbuf : 0 ));
}
__END__;
}
/* Calculates coefficients of perspective transformation
* which maps (xi,yi) to (ui,vi), (i=1,2,3,4):
*
* c00*xi + c01*yi + c02
* ui = ---------------------
* c20*xi + c21*yi + c22
*
* c10*xi + c11*yi + c12
* vi = ---------------------
* c20*xi + c21*yi + c22
*
* Coefficients are calculated by solving linear system:
* / x0 y0 1 0 0 0 -x0*u0 -y0*u0 \ /c00\ /u0\
* | x1 y1 1 0 0 0 -x1*u1 -y1*u1 | |c01| |u1|
* | x2 y2 1 0 0 0 -x2*u2 -y2*u2 | |c02| |u2|
* | x3 y3 1 0 0 0 -x3*u3 -y3*u3 |.|c10|=|u3|,
* | 0 0 0 x0 y0 1 -x0*v0 -y0*v0 | |c11| |v0|
* | 0 0 0 x1 y1 1 -x1*v1 -y1*v1 | |c12| |v1|
* | 0 0 0 x2 y2 1 -x2*v2 -y2*v2 | |c20| |v2|
* \ 0 0 0 x3 y3 1 -x3*v3 -y3*v3 / \c21/ \v3/
*
* where:
* cij - matrix coefficients, c22 = 1
*/
CV_IMPL CvMat*
cvGetPerspectiveTransform( const CvPoint2D32f* src,
const CvPoint2D32f* dst,
CvMat* matrix )
{
CV_FUNCNAME( "cvGetPerspectiveTransform" );
__BEGIN__;
double a[8][8];
double b[8], x[9];
CvMat A = cvMat( 8, 8, CV_64FC1, a );
CvMat B = cvMat( 8, 1, CV_64FC1, b );
CvMat X = cvMat( 8, 1, CV_64FC1, x );
int i;
if( !src || !dst || !matrix )
CV_ERROR( CV_StsNullPtr, "" );
for( i = 0; i < 4; ++i )
{
a[i][0] = a[i+4][3] = src[i].x;
a[i][1] = a[i+4][4] = src[i].y;
a[i][2] = a[i+4][5] = 1;
a[i][3] = a[i][4] = a[i][5] =
a[i+4][0] = a[i+4][1] = a[i+4][2] = 0;
a[i][6] = -src[i].x*dst[i].x;
a[i][7] = -src[i].y*dst[i].x;
a[i+4][6] = -src[i].x*dst[i].y;
a[i+4][7] = -src[i].y*dst[i].y;
b[i] = dst[i].x;
b[i+4] = dst[i].y;
}
cvSolve( &A, &B, &X, CV_SVD );
x[8] = 1;
X = cvMat( 3, 3, CV_64FC1, x );
cvConvert( &X, matrix );
__END__;
return matrix;
}
/* Calculates coefficients of affine transformation
* which maps (xi,yi) to (ui,vi), (i=1,2,3):
*
* ui = c00*xi + c01*yi + c02
*
* vi = c10*xi + c11*yi + c12
*
* Coefficients are calculated by solving linear system:
* / x0 y0 1 0 0 0 \ /c00\ /u0\
* | x1 y1 1 0 0 0 | |c01| |u1|
* | x2 y2 1 0 0 0 | |c02| |u2|
* | 0 0 0 x0 y0 1 | |c10| |v0|
* | 0 0 0 x1 y1 1 | |c11| |v1|
* \ 0 0 0 x2 y2 1 / |c12| |v2|
*
* where:
* cij - matrix coefficients
*/
CV_IMPL CvMat*
cvGetAffineTransform( const CvPoint2D32f * src, const CvPoint2D32f * dst, CvMat * map_matrix )
{
CV_FUNCNAME( "cvGetAffineTransform" );
__BEGIN__;
CvMat mA, mX, mB;
double A[6*6];
double B[6];
double x[6];
int i;
cvInitMatHeader(&mA, 6, 6, CV_64F, A);
cvInitMatHeader(&mB, 6, 1, CV_64F, B);
cvInitMatHeader(&mX, 6, 1, CV_64F, x);
if( !src || !dst || !map_matrix )
CV_ERROR( CV_StsNullPtr, "" );
for( i = 0; i < 3; i++ )
{
int j = i*12;
int k = i*12+6;
A[j] = A[k+3] = src[i].x;
A[j+1] = A[k+4] = src[i].y;
A[j+2] = A[k+5] = 1;
A[j+3] = A[j+4] = A[j+5] = 0;
A[k] = A[k+1] = A[k+2] = 0;
B[i*2] = dst[i].x;
B[i*2+1] = dst[i].y;
}
cvSolve(&mA, &mB, &mX);
mX = cvMat( 2, 3, CV_64FC1, x );
cvConvert( &mX, map_matrix );
__END__;
return map_matrix;
}
/****************************************************************************************\
* Generic Geometric Transformation: Remap *
\****************************************************************************************/
#define ICV_DEF_REMAP_BILINEAR_FUNC( flavor, arrtype, load_macro, cast_macro ) \
static CvStatus CV_STDCALL \
icvRemap_Bilinear_##flavor##_CnR( const arrtype* src, int srcstep, CvSize ssize,\
arrtype* dst, int dststep, CvSize dsize, \
const float* mapx, int mxstep, \
const float* mapy, int mystep, \
int cn, const arrtype* fillval ) \
{ \
int i, j, k; \
ssize.width--; \
ssize.height--; \
\
srcstep /= sizeof(src[0]); \
dststep /= sizeof(dst[0]); \
mxstep /= sizeof(mapx[0]); \
mystep /= sizeof(mapy[0]); \
\
for( i = 0; i < dsize.height; i++, dst += dststep, \
mapx += mxstep, mapy += mystep ) \
{ \
for( j = 0; j < dsize.width; j++ ) \
{ \
float _x = mapx[j], _y = mapy[j]; \
int ix = cvFloor(_x), iy = cvFloor(_y); \
\
if( (unsigned)ix < (unsigned)ssize.width && \
(unsigned)iy < (unsigned)ssize.height ) \
{ \
const arrtype* s = src + iy*srcstep + ix*cn; \
_x -= ix; _y -= iy; \
for( k = 0; k < cn; k++, s++ ) \
{ \
float t0 = load_macro(s[0]), t1 = load_macro(s[srcstep]); \
t0 += _x*(load_macro(s[cn]) - t0); \
t1 += _x*(load_macro(s[srcstep + cn]) - t1); \
dst[j*cn + k] = (arrtype)cast_macro(t0 + _y*(t1 - t0)); \
} \
} \
else if( fillval ) \
for( k = 0; k < cn; k++ ) \
dst[j*cn + k] = fillval[k]; \
} \
} \
\
return CV_OK; \
}
#define ICV_DEF_REMAP_BICUBIC_FUNC( flavor, arrtype, worktype, \
load_macro, cast_macro1, cast_macro2 ) \
static CvStatus CV_STDCALL \
icvRemap_Bicubic_##flavor##_CnR( const arrtype* src, int srcstep, CvSize ssize, \
arrtype* dst, int dststep, CvSize dsize, \
const float* mapx, int mxstep, \
const float* mapy, int mystep, \
int cn, const arrtype* fillval ) \
{ \
int i, j, k; \
ssize.width = MAX( ssize.width - 3, 0 ); \
ssize.height = MAX( ssize.height - 3, 0 ); \
\
srcstep /= sizeof(src[0]); \
dststep /= sizeof(dst[0]); \
mxstep /= sizeof(mapx[0]); \
mystep /= sizeof(mapy[0]); \
\
for( i = 0; i < dsize.height; i++, dst += dststep, \
mapx += mxstep, mapy += mystep ) \
{ \
for( j = 0; j < dsize.width; j++ ) \
{ \
int ix = cvRound(mapx[j]*(1 << ICV_WARP_SHIFT)); \
int iy = cvRound(mapy[j]*(1 << ICV_WARP_SHIFT)); \
int ifx = ix & ICV_WARP_MASK; \
int ify = iy & ICV_WARP_MASK; \
ix >>= ICV_WARP_SHIFT; \
iy >>= ICV_WARP_SHIFT; \
\
if( (unsigned)(ix-1) < (unsigned)ssize.width && \
(unsigned)(iy-1) < (unsigned)ssize.height ) \
{ \
for( k = 0; k < cn; k++ ) \
{ \
const arrtype* s = src + (iy-1)*srcstep + ix*cn + k; \
\
float t0 = load_macro(s[-cn])*icvCubicCoeffs[ifx*2 + 1] + \
load_macro(s[0])*icvCubicCoeffs[ifx*2] + \
load_macro(s[cn])*icvCubicCoeffs[(ICV_CUBIC_TAB_SIZE-ifx)*2] +\
load_macro(s[cn*2])*icvCubicCoeffs[(ICV_CUBIC_TAB_SIZE-ifx)*2+1];\
\
s += srcstep; \
\
float t1 = load_macro(s[-cn])*icvCubicCoeffs[ifx*2 + 1] + \
load_macro(s[0])*icvCubicCoeffs[ifx*2] + \
load_macro(s[cn])*icvCubicCoeffs[(ICV_CUBIC_TAB_SIZE-ifx)*2] +\
load_macro(s[cn*2])*icvCubicCoeffs[(ICV_CUBIC_TAB_SIZE-ifx)*2+1];\
\
s += srcstep; \
\
float t2 = load_macro(s[-cn])*icvCubicCoeffs[ifx*2 + 1] + \
load_macro(s[0])*icvCubicCoeffs[ifx*2] + \
load_macro(s[cn])*icvCubicCoeffs[(ICV_CUBIC_TAB_SIZE-ifx)*2] +\
load_macro(s[cn*2])*icvCubicCoeffs[(ICV_CUBIC_TAB_SIZE-ifx)*2+1];\
\
s += srcstep; \
\
float t3 = load_macro(s[-cn])*icvCubicCoeffs[ifx*2 + 1] + \
load_macro(s[0])*icvCubicCoeffs[ifx*2] + \
load_macro(s[cn])*icvCubicCoeffs[(ICV_CUBIC_TAB_SIZE-ifx)*2] +\
load_macro(s[cn*2])*icvCubicCoeffs[(ICV_CUBIC_TAB_SIZE-ifx)*2+1];\
\
worktype t = cast_macro1( t0*icvCubicCoeffs[ify*2 + 1] + \
t1*icvCubicCoeffs[ify*2] + \
t2*icvCubicCoeffs[(ICV_CUBIC_TAB_SIZE-ify)*2] + \
t3*icvCubicCoeffs[(ICV_CUBIC_TAB_SIZE-ify)*2+1] );\
\
dst[j*cn + k] = cast_macro2(t); \
} \
} \
else if( fillval ) \
for( k = 0; k < cn; k++ ) \
dst[j*cn + k] = fillval[k]; \
} \
} \
\
return CV_OK; \
}
ICV_DEF_REMAP_BILINEAR_FUNC( 8u, uchar, CV_8TO32F, cvRound )
ICV_DEF_REMAP_BILINEAR_FUNC( 16u, ushort, CV_NOP, cvRound )
ICV_DEF_REMAP_BILINEAR_FUNC( 32f, float, CV_NOP, CV_NOP )
ICV_DEF_REMAP_BICUBIC_FUNC( 8u, uchar, int, CV_8TO32F, cvRound, CV_FAST_CAST_8U )
ICV_DEF_REMAP_BICUBIC_FUNC( 16u, ushort, int, CV_NOP, cvRound, CV_CAST_16U )
ICV_DEF_REMAP_BICUBIC_FUNC( 32f, float, float, CV_NOP, CV_NOP, CV_NOP )
typedef CvStatus (CV_STDCALL * CvRemapFunc)(
const void* src, int srcstep, CvSize ssize,
void* dst, int dststep, CvSize dsize,
const float* mapx, int mxstep,
const float* mapy, int mystep,
int cn, const void* fillval );
static void icvInitRemapTab( CvFuncTable* bilinear_tab, CvFuncTable* bicubic_tab )
{
bilinear_tab->fn_2d[CV_8U] = (void*)icvRemap_Bilinear_8u_CnR;
bilinear_tab->fn_2d[CV_16U] = (void*)icvRemap_Bilinear_16u_CnR;
bilinear_tab->fn_2d[CV_32F] = (void*)icvRemap_Bilinear_32f_CnR;
bicubic_tab->fn_2d[CV_8U] = (void*)icvRemap_Bicubic_8u_CnR;
bicubic_tab->fn_2d[CV_16U] = (void*)icvRemap_Bicubic_16u_CnR;
bicubic_tab->fn_2d[CV_32F] = (void*)icvRemap_Bicubic_32f_CnR;
}
/******************** IPP remap functions *********************/
typedef CvStatus (CV_STDCALL * CvRemapIPPFunc)(
const void* src, CvSize srcsize, int srcstep, CvRect srcroi,
const float* xmap, int xmapstep, const float* ymap, int ymapstep,
void* dst, int dststep, CvSize dstsize, int interpolation );
icvRemap_8u_C1R_t icvRemap_8u_C1R_p = 0;
icvRemap_8u_C3R_t icvRemap_8u_C3R_p = 0;
icvRemap_8u_C4R_t icvRemap_8u_C4R_p = 0;
icvRemap_32f_C1R_t icvRemap_32f_C1R_p = 0;
icvRemap_32f_C3R_t icvRemap_32f_C3R_p = 0;
icvRemap_32f_C4R_t icvRemap_32f_C4R_p = 0;
/**************************************************************/
#define CV_REMAP_SHIFT 5
#define CV_REMAP_MASK ((1 << CV_REMAP_SHIFT) - 1)
#if CV_SSE2 && defined(__GNUC__)
#define align(x) __attribute__ ((aligned (x)))
#elif CV_SSE2 && (defined(__ICL) || defined _MSC_VER && _MSC_VER >= 1300)
#define align(x) __declspec(align(x))
#else
#define align(x)
#endif
static void icvRemapFixedPt_8u( const CvMat* src, CvMat* dst,
const CvMat* xymap, const CvMat* amap, const uchar* fillval )
{
const int TABSZ = 1 << (CV_REMAP_SHIFT*2);
static ushort align(8) atab[TABSZ][4];
static int inittab = 0;
int x, y, cols = src->cols, rows = src->rows;
const uchar* sptr0 = src->data.ptr;
int sstep = src->step;
uchar fv0 = fillval[0], fv1 = fillval[1], fv2 = fillval[2], fv3 = fillval[3];
int cn = CV_MAT_CN(src->type);
#if CV_SSE2
const uchar* sptr1 = sptr0 + sstep;
__m128i br = _mm_set1_epi32((cols-2) + ((rows-2)<<16));
__m128i xy2ofs = _mm_set1_epi32(1 + (sstep << 16));
__m128i z = _mm_setzero_si128();
int align(16) iofs0[4], iofs1[4];
#endif
if( !inittab )
{
for( y = 0; y <= CV_REMAP_MASK; y++ )
for( x = 0; x <= CV_REMAP_MASK; x++ )
{
int k = (y << CV_REMAP_SHIFT) + x;
atab[k][0] = (ushort)((CV_REMAP_MASK+1 - y)*(CV_REMAP_MASK+1 - x));
atab[k][1] = (ushort)((CV_REMAP_MASK+1 - y)*x);
atab[k][2] = (ushort)(y*(CV_REMAP_MASK+1 - x));
atab[k][3] = (ushort)(y*x);
}
inittab = 1;
}
for( y = 0; y < rows; y++ )
{
const short* xy = (const short*)(xymap->data.ptr + xymap->step*y);
const ushort* alpha = (const ushort*)(amap->data.ptr + amap->step*y);
uchar* dptr = (uchar*)(dst->data.ptr + dst->step*y);
int x = 0;
if( cn == 1 )
{
#if CV_SSE2
for( ; x <= cols - 8; x += 8 )
{
__m128i xy0 = _mm_load_si128( (const __m128i*)(xy + x*2));
__m128i xy1 = _mm_load_si128( (const __m128i*)(xy + x*2 + 8));
// 0|0|0|0|... <= x0|y0|x1|y1|... < cols-1|rows-1|cols-1|rows-1|... ?
__m128i mask0 = _mm_cmpeq_epi32(_mm_or_si128(_mm_cmpgt_epi16(z, xy0),
_mm_cmpgt_epi16(xy0,br)), z);
__m128i mask1 = _mm_cmpeq_epi32(_mm_or_si128(_mm_cmpgt_epi16(z, xy1),
_mm_cmpgt_epi16(xy1,br)), z);
__m128i ofs0 = _mm_and_si128(_mm_madd_epi16( xy0, xy2ofs ), mask0 );
__m128i ofs1 = _mm_and_si128(_mm_madd_epi16( xy1, xy2ofs ), mask1 );
unsigned i0, i1;
__m128i v0, v1, v2, v3, a0, a1, b0, b1;
_mm_store_si128( (__m128i*)iofs0, ofs0 );
_mm_store_si128( (__m128i*)iofs1, ofs1 );
i0 = *(ushort*)(sptr0 + iofs0[0]) + (*(ushort*)(sptr0 + iofs0[1]) << 16);
i1 = *(ushort*)(sptr0 + iofs0[2]) + (*(ushort*)(sptr0 + iofs0[3]) << 16);
v0 = _mm_unpacklo_epi32(_mm_cvtsi32_si128(i0), _mm_cvtsi32_si128(i1));
i0 = *(ushort*)(sptr1 + iofs0[0]) + (*(ushort*)(sptr1 + iofs0[1]) << 16);
i1 = *(ushort*)(sptr1 + iofs0[2]) + (*(ushort*)(sptr1 + iofs0[3]) << 16);
v1 = _mm_unpacklo_epi32(_mm_cvtsi32_si128(i0), _mm_cvtsi32_si128(i1));
v0 = _mm_unpacklo_epi8(v0, z);
v1 = _mm_unpacklo_epi8(v1, z);
a0 = _mm_unpacklo_epi32(_mm_loadl_epi64((__m128i*)atab[alpha[x]]),
_mm_loadl_epi64((__m128i*)atab[alpha[x+1]]));
a1 = _mm_unpacklo_epi32(_mm_loadl_epi64((__m128i*)atab[alpha[x+2]]),
_mm_loadl_epi64((__m128i*)atab[alpha[x+3]]));
b0 = _mm_unpacklo_epi64(a0, a1);
b1 = _mm_unpackhi_epi64(a0, a1);
v0 = _mm_madd_epi16(v0, b0);
v1 = _mm_madd_epi16(v1, b1);
v0 = _mm_and_si128(_mm_add_epi32(v0, v1), mask0);
i0 = *(ushort*)(sptr0 + iofs1[0]) + (*(ushort*)(sptr0 + iofs1[1]) << 16);
i1 = *(ushort*)(sptr0 + iofs1[2]) + (*(ushort*)(sptr0 + iofs1[3]) << 16);
v2 = _mm_unpacklo_epi32(_mm_cvtsi32_si128(i0), _mm_cvtsi32_si128(i1));
i0 = *(ushort*)(sptr1 + iofs1[0]) + (*(ushort*)(sptr1 + iofs1[1]) << 16);
i1 = *(ushort*)(sptr1 + iofs1[2]) + (*(ushort*)(sptr1 + iofs1[3]) << 16);
v3 = _mm_unpacklo_epi32(_mm_cvtsi32_si128(i0), _mm_cvtsi32_si128(i1));
v2 = _mm_unpacklo_epi8(v2, z);
v3 = _mm_unpacklo_epi8(v3, z);
a0 = _mm_unpacklo_epi32(_mm_loadl_epi64((__m128i*)atab[alpha[x+4]]),
_mm_loadl_epi64((__m128i*)atab[alpha[x+5]]));
a1 = _mm_unpacklo_epi32(_mm_loadl_epi64((__m128i*)atab[alpha[x+6]]),
_mm_loadl_epi64((__m128i*)atab[alpha[x+7]]));
b0 = _mm_unpacklo_epi64(a0, a1);
b1 = _mm_unpackhi_epi64(a0, a1);
v2 = _mm_madd_epi16(v2, b0);
v3 = _mm_madd_epi16(v3, b1);
v2 = _mm_and_si128(_mm_add_epi32(v2, v3), mask1);
v0 = _mm_srai_epi32(v0, CV_REMAP_SHIFT*2);
v2 = _mm_srai_epi32(v2, CV_REMAP_SHIFT*2);
v0 = _mm_packus_epi16(_mm_packs_epi32(v0, v2), z);
_mm_storel_epi64( (__m128i*)(dptr + x), v0 );
}
#endif
for( ; x < cols; x++ )
{
int xi = xy[x*2], yi = xy[x*2+1];
if( (unsigned)yi >= (unsigned)(rows - 1) ||
(unsigned)xi >= (unsigned)(cols - 1))
{
dptr[x] = fv0;
}
else
{
const uchar* sptr = sptr0 + sstep*yi + xi;
const ushort* a = atab[alpha[x]];
dptr[x] = (uchar)((sptr[0]*a[0] + sptr[1]*a[1] + sptr[sstep]*a[2] +
sptr[sstep+1]*a[3])>>CV_REMAP_SHIFT*2);
}
}
}
else if( cn == 3 )
{
for( ; x < cols; x++ )
{
int xi = xy[x*2], yi = xy[x*2+1];
if( (unsigned)yi >= (unsigned)(rows - 1) ||
(unsigned)xi >= (unsigned)(cols - 1))
{
dptr[x*3] = fv0; dptr[x*3+1] = fv1; dptr[x*3+2] = fv2;
}
else
{
const uchar* sptr = sptr0 + sstep*yi + xi*3;
const ushort* a = atab[alpha[x]];
int v0, v1, v2;
v0 = (sptr[0]*a[0] + sptr[3]*a[1] +
sptr[sstep]*a[2] + sptr[sstep+3]*a[3])>>CV_REMAP_SHIFT*2;
v1 = (sptr[1]*a[0] + sptr[4]*a[1] +
sptr[sstep+1]*a[2] + sptr[sstep+4]*a[3])>>CV_REMAP_SHIFT*2;
v2 = (sptr[2]*a[0] + sptr[5]*a[1] +
sptr[sstep+2]*a[2] + sptr[sstep+5]*a[3])>>CV_REMAP_SHIFT*2;
dptr[x*3] = (uchar)v0; dptr[x*3+1] = (uchar)v1; dptr[x*3+2] = (uchar)v2;
}
}
}
else
{
assert( cn == 4 );
for( ; x < cols; x++ )
{
int xi = xy[x*2], yi = xy[x*2+1];
if( (unsigned)yi >= (unsigned)(rows - 1) ||
(unsigned)xi >= (unsigned)(cols - 1))
{
dptr[x*4] = fv0; dptr[x*4+1] = fv1;
dptr[x*4+2] = fv2; dptr[x*4+3] = fv3;
}
else
{
const uchar* sptr = sptr0 + sstep*yi + xi*3;
const ushort* a = atab[alpha[x]];
int v0, v1;
v0 = (sptr[0]*a[0] + sptr[4]*a[1] +
sptr[sstep]*a[2] + sptr[sstep+3]*a[3])>>CV_REMAP_SHIFT*2;
v1 = (sptr[1]*a[0] + sptr[5]*a[1] +
sptr[sstep+1]*a[2] + sptr[sstep+5]*a[3])>>CV_REMAP_SHIFT*2;
dptr[x*4] = (uchar)v0; dptr[x*4+1] = (uchar)v1;
v0 = (sptr[2]*a[0] + sptr[6]*a[1] +
sptr[sstep+2]*a[2] + sptr[sstep+6]*a[3])>>CV_REMAP_SHIFT*2;
v1 = (sptr[3]*a[0] + sptr[7]*a[1] +
sptr[sstep+3]*a[2] + sptr[sstep+7]*a[3])>>CV_REMAP_SHIFT*2;
dptr[x*4+2] = (uchar)v0; dptr[x*4+3] = (uchar)v1;
}
}
}
}
}
CV_IMPL void
cvRemap( const CvArr* srcarr, CvArr* dstarr,
const CvArr* _mapx, const CvArr* _mapy,
int flags, CvScalar fillval )
{
static CvFuncTable bilinear_tab;
static CvFuncTable bicubic_tab;
static int inittab = 0;
CV_FUNCNAME( "cvRemap" );
__BEGIN__;
CvMat srcstub, *src = (CvMat*)srcarr;
CvMat dststub, *dst = (CvMat*)dstarr;
CvMat mxstub, *mapx = (CvMat*)_mapx;
CvMat mystub, *mapy = (CvMat*)_mapy;
int type, depth, cn;
bool fltremap;
int method = flags & 3;
double fillbuf[4];
CvSize ssize, dsize;
if( !inittab )
{
icvInitRemapTab( &bilinear_tab, &bicubic_tab );
icvInitLinearCoeffTab();
icvInitCubicCoeffTab();
inittab = 1;
}
CV_CALL( src = cvGetMat( srcarr, &srcstub ));
CV_CALL( dst = cvGetMat( dstarr, &dststub ));
CV_CALL( mapx = cvGetMat( mapx, &mxstub ));
CV_CALL( mapy = cvGetMat( mapy, &mystub ));
if( !CV_ARE_TYPES_EQ( src, dst ))
CV_ERROR( CV_StsUnmatchedFormats, "" );
if( CV_MAT_TYPE(mapx->type) == CV_16SC1 && CV_MAT_TYPE(mapy->type) == CV_16SC2 )
{
CvMat* temp;
CV_SWAP(mapx, mapy, temp);
}
if( (CV_MAT_TYPE(mapx->type) != CV_32FC1 || CV_MAT_TYPE(mapy->type) != CV_32FC1) &&
(CV_MAT_TYPE(mapx->type) != CV_16SC2 || CV_MAT_TYPE(mapy->type) != CV_16SC1))
CV_ERROR( CV_StsUnmatchedFormats, "Either both map arrays must have 32fC1 type, "
"or one of them must be 16sC2 and the other one must be 16sC1" );
if( !CV_ARE_SIZES_EQ( mapx, mapy ) || !CV_ARE_SIZES_EQ( mapx, dst ))
CV_ERROR( CV_StsUnmatchedSizes,
"Both map arrays and the destination array must have the same size" );
fltremap = CV_MAT_TYPE(mapx->type) == CV_32FC1;
type = CV_MAT_TYPE(src->type);
depth = CV_MAT_DEPTH(type);
cn = CV_MAT_CN(type);
if( cn > 4 )
CV_ERROR( CV_BadNumChannels, "" );
ssize = cvGetMatSize(src);
dsize = cvGetMatSize(dst);
cvScalarToRawData( &fillval, fillbuf, CV_MAT_TYPE(src->type), 0 );
if( !fltremap )
{
if( CV_MAT_TYPE(src->type) != CV_8UC1 && CV_MAT_TYPE(src->type) != CV_8UC3 &&
CV_MAT_TYPE(src->type) != CV_8UC4 )
CV_ERROR( CV_StsUnsupportedFormat,
"Only 8-bit input/output is supported by the fixed-point variant of cvRemap" );
icvRemapFixedPt_8u( src, dst, mapx, mapy, (uchar*)fillbuf );
EXIT;
}
if( icvRemap_8u_C1R_p )
{
CvRemapIPPFunc ipp_func =
type == CV_8UC1 ? icvRemap_8u_C1R_p :
type == CV_8UC3 ? icvRemap_8u_C3R_p :
type == CV_8UC4 ? icvRemap_8u_C4R_p :
type == CV_32FC1 ? icvRemap_32f_C1R_p :
type == CV_32FC3 ? icvRemap_32f_C3R_p :
type == CV_32FC4 ? icvRemap_32f_C4R_p : 0;
if( ipp_func )
{
int srcstep = src->step ? src->step : CV_STUB_STEP;
int dststep = dst->step ? dst->step : CV_STUB_STEP;
int mxstep = mapx->step ? mapx->step : CV_STUB_STEP;
int mystep = mapy->step ? mapy->step : CV_STUB_STEP;
CvStatus status;
CvRect srcroi = {0, 0, ssize.width, ssize.height};
// this is not the most efficient way to fill outliers
if( flags & CV_WARP_FILL_OUTLIERS )
cvSet( dst, fillval );
status = ipp_func( src->data.ptr, ssize, srcstep, srcroi,
mapx->data.fl, mxstep, mapy->data.fl, mystep,
dst->data.ptr, dststep, dsize,
1 << (method == CV_INTER_NN || method == CV_INTER_LINEAR ||
method == CV_INTER_CUBIC ? method : CV_INTER_LINEAR) );
if( status >= 0 )
EXIT;
}
}
{
CvRemapFunc func = method == CV_INTER_CUBIC ?
(CvRemapFunc)bicubic_tab.fn_2d[depth] :
(CvRemapFunc)bilinear_tab.fn_2d[depth];
if( !func )
CV_ERROR( CV_StsUnsupportedFormat, "" );
func( src->data.ptr, src->step, ssize, dst->data.ptr, dst->step, dsize,
mapx->data.fl, mapx->step, mapy->data.fl, mapy->step,
cn, flags & CV_WARP_FILL_OUTLIERS ? fillbuf : 0 );
}
__END__;
}
CV_IMPL void
cvConvertMaps( const CvArr* arrx, const CvArr* arry,
CvArr* arrxy, CvArr* arra )
{
CV_FUNCNAME( "cvConvertMaps" );
__BEGIN__;
CvMat xstub, *mapx = cvGetMat( arrx, &xstub );
CvMat ystub, *mapy = cvGetMat( arry, &ystub );
CvMat xystub, *mapxy = cvGetMat( arrxy, &xystub );
CvMat astub, *mapa = cvGetMat( arra, &astub );
int x, y, cols = mapx->cols, rows = mapx->rows;
CV_ASSERT( CV_ARE_SIZES_EQ(mapx, mapy) && CV_ARE_TYPES_EQ(mapx, mapy) &&
CV_MAT_TYPE(mapx->type) == CV_32FC1 &&
CV_ARE_SIZES_EQ(mapxy, mapx) && CV_ARE_SIZES_EQ(mapxy, mapa) &&
CV_MAT_TYPE(mapxy->type) == CV_16SC2 &&
CV_MAT_TYPE(mapa->type) == CV_16SC1 );
for( y = 0; y < rows; y++ )
{
const float* xrow = (const float*)(mapx->data.ptr + mapx->step*y);
const float* yrow = (const float*)(mapy->data.ptr + mapy->step*y);
short* xy = (short*)(mapxy->data.ptr + mapxy->step*y);
short* alpha = (short*)(mapa->data.ptr + mapa->step*y);
for( x = 0; x < cols; x++ )
{
int xi = cvRound(xrow[x]*(1 << CV_REMAP_SHIFT));
int yi = cvRound(yrow[x]*(1 << CV_REMAP_SHIFT));
xy[x*2] = (short)(xi >> CV_REMAP_SHIFT);
xy[x*2+1] = (short)(yi >> CV_REMAP_SHIFT);
alpha[x] = (short)((xi & CV_REMAP_MASK) + ((yi & CV_REMAP_MASK)<<CV_REMAP_SHIFT));
}
}
__END__;
}
/****************************************************************************************\
* Log-Polar Transform *
\****************************************************************************************/
/* now it is done via Remap; more correct implementation should use
some super-sampling technique outside of the "fovea" circle */
CV_IMPL void
cvLogPolar( const CvArr* srcarr, CvArr* dstarr,
CvPoint2D32f center, double M, int flags )
{
CvMat* mapx = 0;
CvMat* mapy = 0;
double* exp_tab = 0;
float* buf = 0;
CV_FUNCNAME( "cvLogPolar" );
__BEGIN__;
CvMat srcstub, *src = (CvMat*)srcarr;
CvMat dststub, *dst = (CvMat*)dstarr;
CvSize ssize, dsize;
CV_CALL( src = cvGetMat( srcarr, &srcstub ));
CV_CALL( dst = cvGetMat( dstarr, &dststub ));
if( !CV_ARE_TYPES_EQ( src, dst ))
CV_ERROR( CV_StsUnmatchedFormats, "" );
if( M <= 0 )
CV_ERROR( CV_StsOutOfRange, "M should be >0" );
ssize = cvGetMatSize(src);
dsize = cvGetMatSize(dst);
CV_CALL( mapx = cvCreateMat( dsize.height, dsize.width, CV_32F ));
CV_CALL( mapy = cvCreateMat( dsize.height, dsize.width, CV_32F ));
if( !(flags & CV_WARP_INVERSE_MAP) )
{
int phi, rho;
CV_CALL( exp_tab = (double*)cvAlloc( dsize.width*sizeof(exp_tab[0])) );
for( rho = 0; rho < dst->width; rho++ )
exp_tab[rho] = exp(rho/M);
for( phi = 0; phi < dsize.height; phi++ )
{
double cp = cos(phi*2*CV_PI/dsize.height);
double sp = sin(phi*2*CV_PI/dsize.height);
float* mx = (float*)(mapx->data.ptr + phi*mapx->step);
float* my = (float*)(mapy->data.ptr + phi*mapy->step);
for( rho = 0; rho < dsize.width; rho++ )
{
double r = exp_tab[rho];
double x = r*cp + center.x;
double y = r*sp + center.y;
mx[rho] = (float)x;
my[rho] = (float)y;
}
}
}
else
{
int x, y;
CvMat bufx, bufy, bufp, bufa;
double ascale = (ssize.width-1)/(2*CV_PI);
CV_CALL( buf = (float*)cvAlloc( 4*dsize.width*sizeof(buf[0]) ));
bufx = cvMat( 1, dsize.width, CV_32F, buf );
bufy = cvMat( 1, dsize.width, CV_32F, buf + dsize.width );
bufp = cvMat( 1, dsize.width, CV_32F, buf + dsize.width*2 );
bufa = cvMat( 1, dsize.width, CV_32F, buf + dsize.width*3 );
for( x = 0; x < dsize.width; x++ )
bufx.data.fl[x] = (float)x - center.x;
for( y = 0; y < dsize.height; y++ )
{
float* mx = (float*)(mapx->data.ptr + y*mapx->step);
float* my = (float*)(mapy->data.ptr + y*mapy->step);
for( x = 0; x < dsize.width; x++ )
bufy.data.fl[x] = (float)y - center.y;
#if 1
cvCartToPolar( &bufx, &bufy, &bufp, &bufa );
for( x = 0; x < dsize.width; x++ )
bufp.data.fl[x] += 1.f;
cvLog( &bufp, &bufp );
for( x = 0; x < dsize.width; x++ )
{
double rho = bufp.data.fl[x]*M;
double phi = bufa.data.fl[x]*ascale;
mx[x] = (float)rho;
my[x] = (float)phi;
}
#else
for( x = 0; x < dsize.width; x++ )
{
double xx = bufx.data.fl[x];
double yy = bufy.data.fl[x];
double p = log(sqrt(xx*xx + yy*yy) + 1.)*M;
double a = atan2(yy,xx);
if( a < 0 )
a = 2*CV_PI + a;
a *= ascale;
mx[x] = (float)p;
my[x] = (float)a;
}
#endif
}
}
cvRemap( src, dst, mapx, mapy, flags, cvScalarAll(0) );
__END__;
cvFree( &exp_tab );
cvFree( &buf );
cvReleaseMat( &mapx );
cvReleaseMat( &mapy );
}
/* End of file. */