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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 "_cxcore.h"
#include <float.h>
/////////////////////////////////////////////////////////////////////////////////////////
#define icvGivens_64f( n, x, y, c, s ) \
{ \
int _i; \
double* _x = (x); \
double* _y = (y); \
\
for( _i = 0; _i < n; _i++ ) \
{ \
double t0 = _x[_i]; \
double t1 = _y[_i]; \
_x[_i] = t0*c + t1*s; \
_y[_i] = -t0*s + t1*c; \
} \
}
/* y[0:m,0:n] += diag(a[0:1,0:m]) * x[0:m,0:n] */
static void
icvMatrAXPY_64f( int m, int n, const double* x, int dx,
const double* a, double* y, int dy )
{
int i, j;
for( i = 0; i < m; i++, x += dx, y += dy )
{
double s = a[i];
for( j = 0; j <= n - 4; j += 4 )
{
double t0 = y[j] + s*x[j];
double t1 = y[j+1] + s*x[j+1];
y[j] = t0;
y[j+1] = t1;
t0 = y[j+2] + s*x[j+2];
t1 = y[j+3] + s*x[j+3];
y[j+2] = t0;
y[j+3] = t1;
}
for( ; j < n; j++ ) y[j] += s*x[j];
}
}
/* y[1:m,-1] = h*y[1:m,0:n]*x[0:1,0:n]'*x[-1] (this is used for U&V reconstruction)
y[1:m,0:n] += h*y[1:m,0:n]*x[0:1,0:n]'*x[0:1,0:n] */
static void
icvMatrAXPY3_64f( int m, int n, const double* x, int l, double* y, double h )
{
int i, j;
for( i = 1; i < m; i++ )
{
double s = 0;
y += l;
for( j = 0; j <= n - 4; j += 4 )
s += x[j]*y[j] + x[j+1]*y[j+1] + x[j+2]*y[j+2] + x[j+3]*y[j+3];
for( ; j < n; j++ ) s += x[j]*y[j];
s *= h;
y[-1] = s*x[-1];
for( j = 0; j <= n - 4; j += 4 )
{
double t0 = y[j] + s*x[j];
double t1 = y[j+1] + s*x[j+1];
y[j] = t0;
y[j+1] = t1;
t0 = y[j+2] + s*x[j+2];
t1 = y[j+3] + s*x[j+3];
y[j+2] = t0;
y[j+3] = t1;
}
for( ; j < n; j++ ) y[j] += s*x[j];
}
}
#define icvGivens_32f( n, x, y, c, s ) \
{ \
int _i; \
float* _x = (x); \
float* _y = (y); \
\
for( _i = 0; _i < n; _i++ ) \
{ \
double t0 = _x[_i]; \
double t1 = _y[_i]; \
_x[_i] = (float)(t0*c + t1*s); \
_y[_i] = (float)(-t0*s + t1*c);\
} \
}
static void
icvMatrAXPY_32f( int m, int n, const float* x, int dx,
const float* a, float* y, int dy )
{
int i, j;
for( i = 0; i < m; i++, x += dx, y += dy )
{
double s = a[i];
for( j = 0; j <= n - 4; j += 4 )
{
double t0 = y[j] + s*x[j];
double t1 = y[j+1] + s*x[j+1];
y[j] = (float)t0;
y[j+1] = (float)t1;
t0 = y[j+2] + s*x[j+2];
t1 = y[j+3] + s*x[j+3];
y[j+2] = (float)t0;
y[j+3] = (float)t1;
}
for( ; j < n; j++ )
y[j] = (float)(y[j] + s*x[j]);
}
}
static void
icvMatrAXPY3_32f( int m, int n, const float* x, int l, float* y, double h )
{
int i, j;
for( i = 1; i < m; i++ )
{
double s = 0;
y += l;
for( j = 0; j <= n - 4; j += 4 )
s += x[j]*y[j] + x[j+1]*y[j+1] + x[j+2]*y[j+2] + x[j+3]*y[j+3];
for( ; j < n; j++ ) s += x[j]*y[j];
s *= h;
y[-1] = (float)(s*x[-1]);
for( j = 0; j <= n - 4; j += 4 )
{
double t0 = y[j] + s*x[j];
double t1 = y[j+1] + s*x[j+1];
y[j] = (float)t0;
y[j+1] = (float)t1;
t0 = y[j+2] + s*x[j+2];
t1 = y[j+3] + s*x[j+3];
y[j+2] = (float)t0;
y[j+3] = (float)t1;
}
for( ; j < n; j++ ) y[j] = (float)(y[j] + s*x[j]);
}
}
/* accurate hypotenuse calculation */
static double
pythag( double a, double b )
{
a = fabs( a );
b = fabs( b );
if( a > b )
{
b /= a;
a *= sqrt( 1. + b * b );
}
else if( b != 0 )
{
a /= b;
a = b * sqrt( 1. + a * a );
}
return a;
}
/****************************************************************************************/
/****************************************************************************************/
#define MAX_ITERS 30
static void
icvSVD_64f( double* a, int lda, int m, int n,
double* w,
double* uT, int lduT, int nu,
double* vT, int ldvT,
double* buffer )
{
double* e;
double* temp;
double *w1, *e1;
double *hv;
double ku0 = 0, kv0 = 0;
double anorm = 0;
double *a1, *u0 = uT, *v0 = vT;
double scale, h;
int i, j, k, l;
int nm, m1, n1;
int nv = n;
int iters = 0;
double* hv0 = (double*)cvStackAlloc( (m+2)*sizeof(hv0[0])) + 1;
e = buffer;
w1 = w;
e1 = e + 1;
nm = n;
temp = buffer + nm;
memset( w, 0, nm * sizeof( w[0] ));
memset( e, 0, nm * sizeof( e[0] ));
m1 = m;
n1 = n;
/* transform a to bi-diagonal form */
for( ;; )
{
int update_u;
int update_v;
if( m1 == 0 )
break;
scale = h = 0;
update_u = uT && m1 > m - nu;
hv = update_u ? uT : hv0;
for( j = 0, a1 = a; j < m1; j++, a1 += lda )
{
double t = a1[0];
scale += fabs( hv[j] = t );
}
if( scale != 0 )
{
double f = 1./scale, g, s = 0;
for( j = 0; j < m1; j++ )
{
double t = (hv[j] *= f);
s += t * t;
}
g = sqrt( s );
f = hv[0];
if( f >= 0 )
g = -g;
hv[0] = f - g;
h = 1. / (f * g - s);
memset( temp, 0, n1 * sizeof( temp[0] ));
/* calc temp[0:n-i] = a[i:m,i:n]'*hv[0:m-i] */
icvMatrAXPY_64f( m1, n1 - 1, a + 1, lda, hv, temp + 1, 0 );
for( k = 1; k < n1; k++ ) temp[k] *= h;
/* modify a: a[i:m,i:n] = a[i:m,i:n] + hv[0:m-i]*temp[0:n-i]' */
icvMatrAXPY_64f( m1, n1 - 1, temp + 1, 0, hv, a + 1, lda );
*w1 = g*scale;
}
w1++;
/* store -2/(hv'*hv) */
if( update_u )
{
if( m1 == m )
ku0 = h;
else
hv[-1] = h;
}
a++;
n1--;
if( vT )
vT += ldvT + 1;
if( n1 == 0 )
break;
scale = h = 0;
update_v = vT && n1 > n - nv;
hv = update_v ? vT : hv0;
for( j = 0; j < n1; j++ )
{
double t = a[j];
scale += fabs( hv[j] = t );
}
if( scale != 0 )
{
double f = 1./scale, g, s = 0;
for( j = 0; j < n1; j++ )
{
double t = (hv[j] *= f);
s += t * t;
}
g = sqrt( s );
f = hv[0];
if( f >= 0 )
g = -g;
hv[0] = f - g;
h = 1. / (f * g - s);
hv[-1] = 0.;
/* update a[i:m:i+1:n] = a[i:m,i+1:n] + (a[i:m,i+1:n]*hv[0:m-i])*... */
icvMatrAXPY3_64f( m1, n1, hv, lda, a, h );
*e1 = g*scale;
}
e1++;
/* store -2/(hv'*hv) */
if( update_v )
{
if( n1 == n )
kv0 = h;
else
hv[-1] = h;
}
a += lda;
m1--;
if( uT )
uT += lduT + 1;
}
m1 -= m1 != 0;
n1 -= n1 != 0;
/* accumulate left transformations */
if( uT )
{
m1 = m - m1;
uT = u0 + m1 * lduT;
for( i = m1; i < nu; i++, uT += lduT )
{
memset( uT + m1, 0, (m - m1) * sizeof( uT[0] ));
uT[i] = 1.;
}
for( i = m1 - 1; i >= 0; i-- )
{
double s;
int lh = nu - i;
l = m - i;
hv = u0 + (lduT + 1) * i;
h = i == 0 ? ku0 : hv[-1];
assert( h <= 0 );
if( h != 0 )
{
uT = hv;
icvMatrAXPY3_64f( lh, l-1, hv+1, lduT, uT+1, h );
s = hv[0] * h;
for( k = 0; k < l; k++ ) hv[k] *= s;
hv[0] += 1;
}
else
{
for( j = 1; j < l; j++ )
hv[j] = 0;
for( j = 1; j < lh; j++ )
hv[j * lduT] = 0;
hv[0] = 1;
}
}
uT = u0;
}
/* accumulate right transformations */
if( vT )
{
n1 = n - n1;
vT = v0 + n1 * ldvT;
for( i = n1; i < nv; i++, vT += ldvT )
{
memset( vT + n1, 0, (n - n1) * sizeof( vT[0] ));
vT[i] = 1.;
}
for( i = n1 - 1; i >= 0; i-- )
{
double s;
int lh = nv - i;
l = n - i;
hv = v0 + (ldvT + 1) * i;
h = i == 0 ? kv0 : hv[-1];
assert( h <= 0 );
if( h != 0 )
{
vT = hv;
icvMatrAXPY3_64f( lh, l-1, hv+1, ldvT, vT+1, h );
s = hv[0] * h;
for( k = 0; k < l; k++ ) hv[k] *= s;
hv[0] += 1;
}
else
{
for( j = 1; j < l; j++ )
hv[j] = 0;
for( j = 1; j < lh; j++ )
hv[j * ldvT] = 0;
hv[0] = 1;
}
}
vT = v0;
}
for( i = 0; i < nm; i++ )
{
double tnorm = fabs( w[i] );
tnorm += fabs( e[i] );
if( anorm < tnorm )
anorm = tnorm;
}
anorm *= DBL_EPSILON;
/* diagonalization of the bidiagonal form */
for( k = nm - 1; k >= 0; k-- )
{
double z = 0;
iters = 0;
for( ;; ) /* do iterations */
{
double c, s, f, g, x, y;
int flag = 0;
/* test for splitting */
for( l = k; l >= 0; l-- )
{
if( fabs(e[l]) <= anorm )
{
flag = 1;
break;
}
assert( l > 0 );
if( fabs(w[l - 1]) <= anorm )
break;
}
if( !flag )
{
c = 0;
s = 1;
for( i = l; i <= k; i++ )
{
f = s * e[i];
e[i] *= c;
if( anorm + fabs( f ) == anorm )
break;
g = w[i];
h = pythag( f, g );
w[i] = h;
c = g / h;
s = -f / h;
if( uT )
icvGivens_64f( m, uT + lduT * (l - 1), uT + lduT * i, c, s );
}
}
z = w[k];
if( l == k || iters++ == MAX_ITERS )
break;
/* shift from bottom 2x2 minor */
x = w[l];
y = w[k - 1];
g = e[k - 1];
h = e[k];
f = 0.5 * (((g + z) / h) * ((g - z) / y) + y / h - h / y);
g = pythag( f, 1 );
if( f < 0 )
g = -g;
f = x - (z / x) * z + (h / x) * (y / (f + g) - h);
/* next QR transformation */
c = s = 1;
for( i = l + 1; i <= k; i++ )
{
g = e[i];
y = w[i];
h = s * g;
g *= c;
z = pythag( f, h );
e[i - 1] = z;
c = f / z;
s = h / z;
f = x * c + g * s;
g = -x * s + g * c;
h = y * s;
y *= c;
if( vT )
icvGivens_64f( n, vT + ldvT * (i - 1), vT + ldvT * i, c, s );
z = pythag( f, h );
w[i - 1] = z;
/* rotation can be arbitrary if z == 0 */
if( z != 0 )
{
c = f / z;
s = h / z;
}
f = c * g + s * y;
x = -s * g + c * y;
if( uT )
icvGivens_64f( m, uT + lduT * (i - 1), uT + lduT * i, c, s );
}
e[l] = 0;
e[k] = f;
w[k] = x;
} /* end of iteration loop */
if( iters > MAX_ITERS )
break;
if( z < 0 )
{
w[k] = -z;
if( vT )
{
for( j = 0; j < n; j++ )
vT[j + k * ldvT] = -vT[j + k * ldvT];
}
}
} /* end of diagonalization loop */
/* sort singular values and corresponding values */
for( i = 0; i < nm; i++ )
{
k = i;
for( j = i + 1; j < nm; j++ )
if( w[k] < w[j] )
k = j;
if( k != i )
{
double t;
CV_SWAP( w[i], w[k], t );
if( vT )
for( j = 0; j < n; j++ )
CV_SWAP( vT[j + ldvT*k], vT[j + ldvT*i], t );
if( uT )
for( j = 0; j < m; j++ )
CV_SWAP( uT[j + lduT*k], uT[j + lduT*i], t );
}
}
}
static void
icvSVD_32f( float* a, int lda, int m, int n,
float* w,
float* uT, int lduT, int nu,
float* vT, int ldvT,
float* buffer )
{
float* e;
float* temp;
float *w1, *e1;
float *hv;
double ku0 = 0, kv0 = 0;
double anorm = 0;
float *a1, *u0 = uT, *v0 = vT;
double scale, h;
int i, j, k, l;
int nm, m1, n1;
int nv = n;
int iters = 0;
float* hv0 = (float*)cvStackAlloc( (m+2)*sizeof(hv0[0])) + 1;
e = buffer;
w1 = w;
e1 = e + 1;
nm = n;
temp = buffer + nm;
memset( w, 0, nm * sizeof( w[0] ));
memset( e, 0, nm * sizeof( e[0] ));
m1 = m;
n1 = n;
/* transform a to bi-diagonal form */
for( ;; )
{
int update_u;
int update_v;
if( m1 == 0 )
break;
scale = h = 0;
update_u = uT && m1 > m - nu;
hv = update_u ? uT : hv0;
for( j = 0, a1 = a; j < m1; j++, a1 += lda )
{
double t = a1[0];
scale += fabs( hv[j] = (float)t );
}
if( scale != 0 )
{
double f = 1./scale, g, s = 0;
for( j = 0; j < m1; j++ )
{
double t = (hv[j] = (float)(hv[j]*f));
s += t * t;
}
g = sqrt( s );
f = hv[0];
if( f >= 0 )
g = -g;
hv[0] = (float)(f - g);
h = 1. / (f * g - s);
memset( temp, 0, n1 * sizeof( temp[0] ));
/* calc temp[0:n-i] = a[i:m,i:n]'*hv[0:m-i] */
icvMatrAXPY_32f( m1, n1 - 1, a + 1, lda, hv, temp + 1, 0 );
for( k = 1; k < n1; k++ ) temp[k] = (float)(temp[k]*h);
/* modify a: a[i:m,i:n] = a[i:m,i:n] + hv[0:m-i]*temp[0:n-i]' */
icvMatrAXPY_32f( m1, n1 - 1, temp + 1, 0, hv, a + 1, lda );
*w1 = (float)(g*scale);
}
w1++;
/* store -2/(hv'*hv) */
if( update_u )
{
if( m1 == m )
ku0 = h;
else
hv[-1] = (float)h;
}
a++;
n1--;
if( vT )
vT += ldvT + 1;
if( n1 == 0 )
break;
scale = h = 0;
update_v = vT && n1 > n - nv;
hv = update_v ? vT : hv0;
for( j = 0; j < n1; j++ )
{
double t = a[j];
scale += fabs( hv[j] = (float)t );
}
if( scale != 0 )
{
double f = 1./scale, g, s = 0;
for( j = 0; j < n1; j++ )
{
double t = (hv[j] = (float)(hv[j]*f));
s += t * t;
}
g = sqrt( s );
f = hv[0];
if( f >= 0 )
g = -g;
hv[0] = (float)(f - g);
h = 1. / (f * g - s);
hv[-1] = 0.f;
/* update a[i:m:i+1:n] = a[i:m,i+1:n] + (a[i:m,i+1:n]*hv[0:m-i])*... */
icvMatrAXPY3_32f( m1, n1, hv, lda, a, h );
*e1 = (float)(g*scale);
}
e1++;
/* store -2/(hv'*hv) */
if( update_v )
{
if( n1 == n )
kv0 = h;
else
hv[-1] = (float)h;
}
a += lda;
m1--;
if( uT )
uT += lduT + 1;
}
m1 -= m1 != 0;
n1 -= n1 != 0;
/* accumulate left transformations */
if( uT )
{
m1 = m - m1;
uT = u0 + m1 * lduT;
for( i = m1; i < nu; i++, uT += lduT )
{
memset( uT + m1, 0, (m - m1) * sizeof( uT[0] ));
uT[i] = 1.;
}
for( i = m1 - 1; i >= 0; i-- )
{
double s;
int lh = nu - i;
l = m - i;
hv = u0 + (lduT + 1) * i;
h = i == 0 ? ku0 : hv[-1];
assert( h <= 0 );
if( h != 0 )
{
uT = hv;
icvMatrAXPY3_32f( lh, l-1, hv+1, lduT, uT+1, h );
s = hv[0] * h;
for( k = 0; k < l; k++ ) hv[k] = (float)(hv[k]*s);
hv[0] += 1;
}
else
{
for( j = 1; j < l; j++ )
hv[j] = 0;
for( j = 1; j < lh; j++ )
hv[j * lduT] = 0;
hv[0] = 1;
}
}
uT = u0;
}
/* accumulate right transformations */
if( vT )
{
n1 = n - n1;
vT = v0 + n1 * ldvT;
for( i = n1; i < nv; i++, vT += ldvT )
{
memset( vT + n1, 0, (n - n1) * sizeof( vT[0] ));
vT[i] = 1.;
}
for( i = n1 - 1; i >= 0; i-- )
{
double s;
int lh = nv - i;
l = n - i;
hv = v0 + (ldvT + 1) * i;
h = i == 0 ? kv0 : hv[-1];
assert( h <= 0 );
if( h != 0 )
{
vT = hv;
icvMatrAXPY3_32f( lh, l-1, hv+1, ldvT, vT+1, h );
s = hv[0] * h;
for( k = 0; k < l; k++ ) hv[k] = (float)(hv[k]*s);
hv[0] += 1;
}
else
{
for( j = 1; j < l; j++ )
hv[j] = 0;
for( j = 1; j < lh; j++ )
hv[j * ldvT] = 0;
hv[0] = 1;
}
}
vT = v0;
}
for( i = 0; i < nm; i++ )
{
double tnorm = fabs( w[i] );
tnorm += fabs( e[i] );
if( anorm < tnorm )
anorm = tnorm;
}
anorm *= FLT_EPSILON;
/* diagonalization of the bidiagonal form */
for( k = nm - 1; k >= 0; k-- )
{
double z = 0;
iters = 0;
for( ;; ) /* do iterations */
{
double c, s, f, g, x, y;
int flag = 0;
/* test for splitting */
for( l = k; l >= 0; l-- )
{
if( fabs( e[l] ) <= anorm )
{
flag = 1;
break;
}
assert( l > 0 );
if( fabs( w[l - 1] ) <= anorm )
break;
}
if( !flag )
{
c = 0;
s = 1;
for( i = l; i <= k; i++ )
{
f = s * e[i];
e[i] = (float)(e[i]*c);
if( anorm + fabs( f ) == anorm )
break;
g = w[i];
h = pythag( f, g );
w[i] = (float)h;
c = g / h;
s = -f / h;
if( uT )
icvGivens_32f( m, uT + lduT * (l - 1), uT + lduT * i, c, s );
}
}
z = w[k];
if( l == k || iters++ == MAX_ITERS )
break;
/* shift from bottom 2x2 minor */
x = w[l];
y = w[k - 1];
g = e[k - 1];
h = e[k];
f = 0.5 * (((g + z) / h) * ((g - z) / y) + y / h - h / y);
g = pythag( f, 1 );
if( f < 0 )
g = -g;
f = x - (z / x) * z + (h / x) * (y / (f + g) - h);
/* next QR transformation */
c = s = 1;
for( i = l + 1; i <= k; i++ )
{
g = e[i];
y = w[i];
h = s * g;
g *= c;
z = pythag( f, h );
e[i - 1] = (float)z;
c = f / z;
s = h / z;
f = x * c + g * s;
g = -x * s + g * c;
h = y * s;
y *= c;
if( vT )
icvGivens_32f( n, vT + ldvT * (i - 1), vT + ldvT * i, c, s );
z = pythag( f, h );
w[i - 1] = (float)z;
/* rotation can be arbitrary if z == 0 */
if( z != 0 )
{
c = f / z;
s = h / z;
}
f = c * g + s * y;
x = -s * g + c * y;
if( uT )
icvGivens_32f( m, uT + lduT * (i - 1), uT + lduT * i, c, s );
}
e[l] = 0;
e[k] = (float)f;
w[k] = (float)x;
} /* end of iteration loop */
if( iters > MAX_ITERS )
break;
if( z < 0 )
{
w[k] = (float)(-z);
if( vT )
{
for( j = 0; j < n; j++ )
vT[j + k * ldvT] = -vT[j + k * ldvT];
}
}
} /* end of diagonalization loop */
/* sort singular values and corresponding vectors */
for( i = 0; i < nm; i++ )
{
k = i;
for( j = i + 1; j < nm; j++ )
if( w[k] < w[j] )
k = j;
if( k != i )
{
float t;
CV_SWAP( w[i], w[k], t );
if( vT )
for( j = 0; j < n; j++ )
CV_SWAP( vT[j + ldvT*k], vT[j + ldvT*i], t );
if( uT )
for( j = 0; j < m; j++ )
CV_SWAP( uT[j + lduT*k], uT[j + lduT*i], t );
}
}
}
static void
icvSVBkSb_64f( int m, int n, const double* w,
const double* uT, int lduT,
const double* vT, int ldvT,
const double* b, int ldb, int nb,
double* x, int ldx, double* buffer )
{
double threshold = 0;
int i, j, nm = MIN( m, n );
if( !b )
nb = m;
for( i = 0; i < n; i++ )
memset( x + i*ldx, 0, nb*sizeof(x[0]));
for( i = 0; i < nm; i++ )
threshold += w[i];
threshold *= 2*DBL_EPSILON;
/* vT * inv(w) * uT * b */
for( i = 0; i < nm; i++, uT += lduT, vT += ldvT )
{
double wi = w[i];
if( wi > threshold )
{
wi = 1./wi;
if( nb == 1 )
{
double s = 0;
if( b )
{
if( ldb == 1 )
{
for( j = 0; j <= m - 4; j += 4 )
s += uT[j]*b[j] + uT[j+1]*b[j+1] + uT[j+2]*b[j+2] + uT[j+3]*b[j+3];
for( ; j < m; j++ )
s += uT[j]*b[j];
}
else
{
for( j = 0; j < m; j++ )
s += uT[j]*b[j*ldb];
}
}
else
s = uT[0];
s *= wi;
if( ldx == 1 )
{
for( j = 0; j <= n - 4; j += 4 )
{
double t0 = x[j] + s*vT[j];
double t1 = x[j+1] + s*vT[j+1];
x[j] = t0;
x[j+1] = t1;
t0 = x[j+2] + s*vT[j+2];
t1 = x[j+3] + s*vT[j+3];
x[j+2] = t0;
x[j+3] = t1;
}
for( ; j < n; j++ )
x[j] += s*vT[j];
}
else
{
for( j = 0; j < n; j++ )
x[j*ldx] += s*vT[j];
}
}
else
{
if( b )
{
memset( buffer, 0, nb*sizeof(buffer[0]));
icvMatrAXPY_64f( m, nb, b, ldb, uT, buffer, 0 );
for( j = 0; j < nb; j++ )
buffer[j] *= wi;
}
else
{
for( j = 0; j < nb; j++ )
buffer[j] = uT[j]*wi;
}
icvMatrAXPY_64f( n, nb, buffer, 0, vT, x, ldx );
}
}
}
}
static void
icvSVBkSb_32f( int m, int n, const float* w,
const float* uT, int lduT,
const float* vT, int ldvT,
const float* b, int ldb, int nb,
float* x, int ldx, float* buffer )
{
float threshold = 0.f;
int i, j, nm = MIN( m, n );
if( !b )
nb = m;
for( i = 0; i < n; i++ )
memset( x + i*ldx, 0, nb*sizeof(x[0]));
for( i = 0; i < nm; i++ )
threshold += w[i];
threshold *= 2*FLT_EPSILON;
/* vT * inv(w) * uT * b */
for( i = 0; i < nm; i++, uT += lduT, vT += ldvT )
{
double wi = w[i];
if( wi > threshold )
{
wi = 1./wi;
if( nb == 1 )
{
double s = 0;
if( b )
{
if( ldb == 1 )
{
for( j = 0; j <= m - 4; j += 4 )
s += uT[j]*b[j] + uT[j+1]*b[j+1] + uT[j+2]*b[j+2] + uT[j+3]*b[j+3];
for( ; j < m; j++ )
s += uT[j]*b[j];
}
else
{
for( j = 0; j < m; j++ )
s += uT[j]*b[j*ldb];
}
}
else
s = uT[0];
s *= wi;
if( ldx == 1 )
{
for( j = 0; j <= n - 4; j += 4 )
{
double t0 = x[j] + s*vT[j];
double t1 = x[j+1] + s*vT[j+1];
x[j] = (float)t0;
x[j+1] = (float)t1;
t0 = x[j+2] + s*vT[j+2];
t1 = x[j+3] + s*vT[j+3];
x[j+2] = (float)t0;
x[j+3] = (float)t1;
}
for( ; j < n; j++ )
x[j] = (float)(x[j] + s*vT[j]);
}
else
{
for( j = 0; j < n; j++ )
x[j*ldx] = (float)(x[j*ldx] + s*vT[j]);
}
}
else
{
if( b )
{
memset( buffer, 0, nb*sizeof(buffer[0]));
icvMatrAXPY_32f( m, nb, b, ldb, uT, buffer, 0 );
for( j = 0; j < nb; j++ )
buffer[j] = (float)(buffer[j]*wi);
}
else
{
for( j = 0; j < nb; j++ )
buffer[j] = (float)(uT[j]*wi);
}
icvMatrAXPY_32f( n, nb, buffer, 0, vT, x, ldx );
}
}
}
}
CV_IMPL void
cvSVD( CvArr* aarr, CvArr* warr, CvArr* uarr, CvArr* varr, int flags )
{
uchar* buffer = 0;
int local_alloc = 0;
CV_FUNCNAME( "cvSVD" );
__BEGIN__;
CvMat astub, *a = (CvMat*)aarr;
CvMat wstub, *w = (CvMat*)warr;
CvMat ustub, *u;
CvMat vstub, *v;
CvMat tmat;
uchar* tw = 0;
int type;
int a_buf_offset = 0, u_buf_offset = 0, buf_size, pix_size;
int temp_u = 0, /* temporary storage for U is needed */
t_svd; /* special case: a->rows < a->cols */
int m, n;
int w_rows, w_cols;
int u_rows = 0, u_cols = 0;
int w_is_mat = 0;
if( !CV_IS_MAT( a ))
CV_CALL( a = cvGetMat( a, &astub ));
if( !CV_IS_MAT( w ))
CV_CALL( w = cvGetMat( w, &wstub ));
if( !CV_ARE_TYPES_EQ( a, w ))
CV_ERROR( CV_StsUnmatchedFormats, "" );
if( a->rows >= a->cols )
{
m = a->rows;
n = a->cols;
w_rows = w->rows;
w_cols = w->cols;
t_svd = 0;
}
else
{
CvArr* t;
CV_SWAP( uarr, varr, t );
flags = (flags & CV_SVD_U_T ? CV_SVD_V_T : 0)|
(flags & CV_SVD_V_T ? CV_SVD_U_T : 0);
m = a->cols;
n = a->rows;
w_rows = w->cols;
w_cols = w->rows;
t_svd = 1;
}
u = (CvMat*)uarr;
v = (CvMat*)varr;
w_is_mat = w_cols > 1 && w_rows > 1;
if( !w_is_mat && CV_IS_MAT_CONT(w->type) && w_cols + w_rows - 1 == n )
tw = w->data.ptr;
if( u )
{
if( !CV_IS_MAT( u ))
CV_CALL( u = cvGetMat( u, &ustub ));
if( !(flags & CV_SVD_U_T) )
{
u_rows = u->rows;
u_cols = u->cols;
}
else
{
u_rows = u->cols;
u_cols = u->rows;
}
if( !CV_ARE_TYPES_EQ( a, u ))
CV_ERROR( CV_StsUnmatchedFormats, "" );
if( u_rows != m || (u_cols != m && u_cols != n))
CV_ERROR( CV_StsUnmatchedSizes, !t_svd ? "U matrix has unappropriate size" :
"V matrix has unappropriate size" );
temp_u = (u_rows != u_cols && !(flags & CV_SVD_U_T)) || u->data.ptr==a->data.ptr;
if( w_is_mat && u_cols != w_rows )
CV_ERROR( CV_StsUnmatchedSizes, !t_svd ? "U and W have incompatible sizes" :
"V and W have incompatible sizes" );
}
else
{
u = &ustub;
u->data.ptr = 0;
u->step = 0;
}
if( v )
{
int v_rows, v_cols;
if( !CV_IS_MAT( v ))
CV_CALL( v = cvGetMat( v, &vstub ));
if( !(flags & CV_SVD_V_T) )
{
v_rows = v->rows;
v_cols = v->cols;
}
else
{
v_rows = v->cols;
v_cols = v->rows;
}
if( !CV_ARE_TYPES_EQ( a, v ))
CV_ERROR( CV_StsUnmatchedFormats, "" );
if( v_rows != n || v_cols != n )
CV_ERROR( CV_StsUnmatchedSizes, t_svd ? "U matrix has unappropriate size" :
"V matrix has unappropriate size" );
if( w_is_mat && w_cols != v_cols )
CV_ERROR( CV_StsUnmatchedSizes, t_svd ? "U and W have incompatible sizes" :
"V and W have incompatible sizes" );
}
else
{
v = &vstub;
v->data.ptr = 0;
v->step = 0;
}
type = CV_MAT_TYPE( a->type );
pix_size = CV_ELEM_SIZE(type);
buf_size = n*2 + m;
if( !(flags & CV_SVD_MODIFY_A) )
{
a_buf_offset = buf_size;
buf_size += a->rows*a->cols;
}
if( temp_u )
{
u_buf_offset = buf_size;
buf_size += u->rows*u->cols;
}
buf_size *= pix_size;
if( buf_size <= CV_MAX_LOCAL_SIZE )
{
buffer = (uchar*)cvStackAlloc( buf_size );
local_alloc = 1;
}
else
{
CV_CALL( buffer = (uchar*)cvAlloc( buf_size ));
}
if( !(flags & CV_SVD_MODIFY_A) )
{
cvInitMatHeader( &tmat, m, n, type,
buffer + a_buf_offset*pix_size );
if( !t_svd )
cvCopy( a, &tmat );
else
cvT( a, &tmat );
a = &tmat;
}
if( temp_u )
{
cvInitMatHeader( &ustub, u_cols, u_rows, type, buffer + u_buf_offset*pix_size );
u = &ustub;
}
if( !tw )
tw = buffer + (n + m)*pix_size;
if( type == CV_32FC1 )
{
icvSVD_32f( a->data.fl, a->step/sizeof(float), a->rows, a->cols,
(float*)tw, u->data.fl, u->step/sizeof(float), u_cols,
v->data.fl, v->step/sizeof(float), (float*)buffer );
}
else if( type == CV_64FC1 )
{
icvSVD_64f( a->data.db, a->step/sizeof(double), a->rows, a->cols,
(double*)tw, u->data.db, u->step/sizeof(double), u_cols,
v->data.db, v->step/sizeof(double), (double*)buffer );
}
else
{
CV_ERROR( CV_StsUnsupportedFormat, "" );
}
if( tw != w->data.ptr )
{
int shift = w->cols != 1;
cvSetZero( w );
if( type == CV_32FC1 )
for( int i = 0; i < n; i++ )
((float*)(w->data.ptr + i*w->step))[i*shift] = ((float*)tw)[i];
else
for( int i = 0; i < n; i++ )
((double*)(w->data.ptr + i*w->step))[i*shift] = ((double*)tw)[i];
}
if( uarr )
{
if( !(flags & CV_SVD_U_T))
cvT( u, uarr );
else if( temp_u )
cvCopy( u, uarr );
/*CV_CHECK_NANS( uarr );*/
}
if( varr )
{
if( !(flags & CV_SVD_V_T))
cvT( v, varr );
/*CV_CHECK_NANS( varr );*/
}
CV_CHECK_NANS( w );
__END__;
if( buffer && !local_alloc )
cvFree( &buffer );
}
CV_IMPL void
cvSVBkSb( const CvArr* warr, const CvArr* uarr,
const CvArr* varr, const CvArr* barr,
CvArr* xarr, int flags )
{
uchar* buffer = 0;
int local_alloc = 0;
CV_FUNCNAME( "cvSVBkSb" );
__BEGIN__;
CvMat wstub, *w = (CvMat*)warr;
CvMat bstub, *b = (CvMat*)barr;
CvMat xstub, *x = (CvMat*)xarr;
CvMat ustub, ustub2, *u = (CvMat*)uarr;
CvMat vstub, vstub2, *v = (CvMat*)varr;
uchar* tw = 0;
int type;
int temp_u = 0, temp_v = 0;
int u_buf_offset = 0, v_buf_offset = 0, w_buf_offset = 0, t_buf_offset = 0;
int buf_size = 0, pix_size;
int m, n, nm;
int u_rows, u_cols;
int v_rows, v_cols;
if( !CV_IS_MAT( w ))
CV_CALL( w = cvGetMat( w, &wstub ));
if( !CV_IS_MAT( u ))
CV_CALL( u = cvGetMat( u, &ustub ));
if( !CV_IS_MAT( v ))
CV_CALL( v = cvGetMat( v, &vstub ));
if( !CV_IS_MAT( x ))
CV_CALL( x = cvGetMat( x, &xstub ));
if( !CV_ARE_TYPES_EQ( w, u ) || !CV_ARE_TYPES_EQ( w, v ) || !CV_ARE_TYPES_EQ( w, x ))
CV_ERROR( CV_StsUnmatchedFormats, "All matrices must have the same type" );
type = CV_MAT_TYPE( w->type );
pix_size = CV_ELEM_SIZE(type);
if( !(flags & CV_SVD_U_T) )
{
temp_u = 1;
u_buf_offset = buf_size;
buf_size += u->cols*u->rows*pix_size;
u_rows = u->rows;
u_cols = u->cols;
}
else
{
u_rows = u->cols;
u_cols = u->rows;
}
if( !(flags & CV_SVD_V_T) )
{
temp_v = 1;
v_buf_offset = buf_size;
buf_size += v->cols*v->rows*pix_size;
v_rows = v->rows;
v_cols = v->cols;
}
else
{
v_rows = v->cols;
v_cols = v->rows;
}
m = u_rows;
n = v_rows;
nm = MIN(n,m);
if( (u_rows != u_cols && v_rows != v_cols) || x->rows != v_rows )
CV_ERROR( CV_StsBadSize, "V or U matrix must be square" );
if( (w->rows == 1 || w->cols == 1) && w->rows + w->cols - 1 == nm )
{
if( CV_IS_MAT_CONT(w->type) )
tw = w->data.ptr;
else
{
w_buf_offset = buf_size;
buf_size += nm*pix_size;
}
}
else
{
if( w->cols != v_cols || w->rows != u_cols )
CV_ERROR( CV_StsBadSize, "W must be 1d array of MIN(m,n) elements or "
"matrix which size matches to U and V" );
w_buf_offset = buf_size;
buf_size += nm*pix_size;
}
if( b )
{
if( !CV_IS_MAT( b ))
CV_CALL( b = cvGetMat( b, &bstub ));
if( !CV_ARE_TYPES_EQ( w, b ))
CV_ERROR( CV_StsUnmatchedFormats, "All matrices must have the same type" );
if( b->cols != x->cols || b->rows != m )
CV_ERROR( CV_StsUnmatchedSizes, "b matrix must have (m x x->cols) size" );
}
else
{
b = &bstub;
memset( b, 0, sizeof(*b));
}
t_buf_offset = buf_size;
buf_size += (MAX(m,n) + b->cols)*pix_size;
if( buf_size <= CV_MAX_LOCAL_SIZE )
{
buffer = (uchar*)cvStackAlloc( buf_size );
local_alloc = 1;
}
else
CV_CALL( buffer = (uchar*)cvAlloc( buf_size ));
if( temp_u )
{
cvInitMatHeader( &ustub2, u_cols, u_rows, type, buffer + u_buf_offset );
cvT( u, &ustub2 );
u = &ustub2;
}
if( temp_v )
{
cvInitMatHeader( &vstub2, v_cols, v_rows, type, buffer + v_buf_offset );
cvT( v, &vstub2 );
v = &vstub2;
}
if( !tw )
{
int i, shift = w->cols > 1 ? pix_size : 0;
tw = buffer + w_buf_offset;
for( i = 0; i < nm; i++ )
memcpy( tw + i*pix_size, w->data.ptr + i*(w->step + shift), pix_size );
}
if( type == CV_32FC1 )
{
icvSVBkSb_32f( m, n, (float*)tw, u->data.fl, u->step/sizeof(float),
v->data.fl, v->step/sizeof(float),
b->data.fl, b->step/sizeof(float), b->cols,
x->data.fl, x->step/sizeof(float),
(float*)(buffer + t_buf_offset) );
}
else if( type == CV_64FC1 )
{
icvSVBkSb_64f( m, n, (double*)tw, u->data.db, u->step/sizeof(double),
v->data.db, v->step/sizeof(double),
b->data.db, b->step/sizeof(double), b->cols,
x->data.db, x->step/sizeof(double),
(double*)(buffer + t_buf_offset) );
}
else
{
CV_ERROR( CV_StsUnsupportedFormat, "" );
}
__END__;
if( buffer && !local_alloc )
cvFree( &buffer );
}
/* End of file. */