/*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" #include <stdio.h> static void icvCalcMinEigenVal( const float* cov, int cov_step, float* dst, int dst_step, CvSize size, CvMat* buffer ) { int j; float* buf = buffer->data.fl; cov_step /= sizeof(cov[0]); dst_step /= sizeof(dst[0]); buffer->rows = 1; for( ; size.height--; cov += cov_step, dst += dst_step ) { for( j = 0; j < size.width; j++ ) { double a = cov[j*3]*0.5; double b = cov[j*3+1]; double c = cov[j*3+2]*0.5; buf[j + size.width] = (float)(a + c); buf[j] = (float)((a - c)*(a - c) + b*b); } cvPow( buffer, buffer, 0.5 ); for( j = 0; j < size.width ; j++ ) dst[j] = (float)(buf[j + size.width] - buf[j]); } } static void icvCalcHarris( const float* cov, int cov_step, float* dst, int dst_step, CvSize size, CvMat* /*buffer*/, double k ) { int j; cov_step /= sizeof(cov[0]); dst_step /= sizeof(dst[0]); for( ; size.height--; cov += cov_step, dst += dst_step ) { for( j = 0; j < size.width; j++ ) { double a = cov[j*3]; double b = cov[j*3+1]; double c = cov[j*3+2]; dst[j] = (float)(a*c - b*b - k*(a + c)*(a + c)); } } } static void icvCalcEigenValsVecs( const float* cov, int cov_step, float* dst, int dst_step, CvSize size, CvMat* buffer ) { static int y0 = 0; int j; float* buf = buffer->data.fl; cov_step /= sizeof(cov[0]); dst_step /= sizeof(dst[0]); for( ; size.height--; cov += cov_step, dst += dst_step ) { for( j = 0; j < size.width; j++ ) { double a = cov[j*3]*0.5; double b = cov[j*3+1]; double c = cov[j*3+2]*0.5; buf[j + size.width] = (float)(a + c); buf[j] = (float)((a - c)*(a - c) + b*b); } buffer->rows = 1; cvPow( buffer, buffer, 0.5 ); for( j = 0; j < size.width; j++ ) { double a = cov[j*3]; double b = cov[j*3+1]; double c = cov[j*3+2]; double l1 = buf[j + size.width] + buf[j]; double l2 = buf[j + size.width] - buf[j]; double x = b; double y = l1 - a; double e = fabs(x); if( e + fabs(y) < 1e-4 ) { y = b; x = l1 - c; e = fabs(x); if( e + fabs(y) < 1e-4 ) { e = 1./(e + fabs(y) + FLT_EPSILON); x *= e, y *= e; } } buf[j] = (float)(x*x + y*y + DBL_EPSILON); dst[6*j] = (float)l1; dst[6*j + 2] = (float)x; dst[6*j + 3] = (float)y; x = b; y = l2 - a; e = fabs(x); if( e + fabs(y) < 1e-4 ) { y = b; x = l2 - c; e = fabs(x); if( e + fabs(y) < 1e-4 ) { e = 1./(e + fabs(y) + FLT_EPSILON); x *= e, y *= e; } } buf[j + size.width] = (float)(x*x + y*y + DBL_EPSILON); dst[6*j + 1] = (float)l2; dst[6*j + 4] = (float)x; dst[6*j + 5] = (float)y; } buffer->rows = 2; cvPow( buffer, buffer, -0.5 ); for( j = 0; j < size.width; j++ ) { double t0 = buf[j]*dst[6*j + 2]; double t1 = buf[j]*dst[6*j + 3]; dst[6*j + 2] = (float)t0; dst[6*j + 3] = (float)t1; t0 = buf[j + size.width]*dst[6*j + 4]; t1 = buf[j + size.width]*dst[6*j + 5]; dst[6*j + 4] = (float)t0; dst[6*j + 5] = (float)t1; } y0++; } } #define ICV_MINEIGENVAL 0 #define ICV_HARRIS 1 #define ICV_EIGENVALSVECS 2 static void icvCornerEigenValsVecs( const CvMat* src, CvMat* eigenv, int block_size, int aperture_size, int op_type, double k=0. ) { CvSepFilter dx_filter, dy_filter; CvBoxFilter blur_filter; CvMat *tempsrc = 0; CvMat *Dx = 0, *Dy = 0, *cov = 0; CvMat *sqrt_buf = 0; int buf_size = 1 << 12; CV_FUNCNAME( "icvCornerEigenValsVecs" ); __BEGIN__; int i, j, y, dst_y = 0, max_dy, delta = 0; int aperture_size0 = aperture_size; int temp_step = 0, d_step; uchar* shifted_ptr = 0; int depth, d_depth; int stage = CV_START; CvSobelFixedIPPFunc ipp_sobel_vert = 0, ipp_sobel_horiz = 0; CvFilterFixedIPPFunc ipp_scharr_vert = 0, ipp_scharr_horiz = 0; CvSize el_size, size, stripe_size; int aligned_width; CvPoint el_anchor; double factorx, factory; bool use_ipp = false; if( block_size < 3 || !(block_size & 1) ) CV_ERROR( CV_StsOutOfRange, "averaging window size must be an odd number >= 3" ); if( (aperture_size < 3 && aperture_size != CV_SCHARR) || !(aperture_size & 1) ) CV_ERROR( CV_StsOutOfRange, "Derivative filter aperture size must be a positive odd number >=3 or CV_SCHARR" ); depth = CV_MAT_DEPTH(src->type); d_depth = depth == CV_8U ? CV_16S : CV_32F; size = cvGetMatSize(src); aligned_width = cvAlign(size.width, 4); aperture_size = aperture_size == CV_SCHARR ? 3 : aperture_size; el_size = cvSize( aperture_size, aperture_size ); el_anchor = cvPoint( aperture_size/2, aperture_size/2 ); if( aperture_size <= 5 && icvFilterSobelVert_8u16s_C1R_p ) { if( depth == CV_8U && aperture_size0 == CV_SCHARR ) { ipp_scharr_vert = icvFilterScharrVert_8u16s_C1R_p; ipp_scharr_horiz = icvFilterScharrHoriz_8u16s_C1R_p; } else if( depth == CV_32F && aperture_size0 == CV_SCHARR ) { ipp_scharr_vert = icvFilterScharrVert_32f_C1R_p; ipp_scharr_horiz = icvFilterScharrHoriz_32f_C1R_p; } else if( depth == CV_8U ) { ipp_sobel_vert = icvFilterSobelVert_8u16s_C1R_p; ipp_sobel_horiz = icvFilterSobelHoriz_8u16s_C1R_p; } else if( depth == CV_32F ) { ipp_sobel_vert = icvFilterSobelVert_32f_C1R_p; ipp_sobel_horiz = icvFilterSobelHoriz_32f_C1R_p; } } if( (ipp_sobel_vert && ipp_sobel_horiz) || (ipp_scharr_vert && ipp_scharr_horiz) ) { CV_CALL( tempsrc = icvIPPFilterInit( src, buf_size, cvSize(el_size.width,el_size.height + block_size))); shifted_ptr = tempsrc->data.ptr + el_anchor.y*tempsrc->step + el_anchor.x*CV_ELEM_SIZE(depth); temp_step = tempsrc->step ? tempsrc->step : CV_STUB_STEP; max_dy = tempsrc->rows - aperture_size + 1; use_ipp = true; } else { ipp_sobel_vert = ipp_sobel_horiz = 0; ipp_scharr_vert = ipp_scharr_horiz = 0; CV_CALL( dx_filter.init_deriv( size.width, depth, d_depth, 1, 0, aperture_size0 )); CV_CALL( dy_filter.init_deriv( size.width, depth, d_depth, 0, 1, aperture_size0 )); max_dy = buf_size / src->cols; max_dy = MAX( max_dy, aperture_size + block_size ); } CV_CALL( Dx = cvCreateMat( max_dy, aligned_width, d_depth )); CV_CALL( Dy = cvCreateMat( max_dy, aligned_width, d_depth )); CV_CALL( cov = cvCreateMat( max_dy + block_size + 1, size.width, CV_32FC3 )); CV_CALL( sqrt_buf = cvCreateMat( 2, size.width, CV_32F )); Dx->cols = Dy->cols = size.width; if( !use_ipp ) max_dy -= aperture_size - 1; d_step = Dx->step ? Dx->step : CV_STUB_STEP; CV_CALL(blur_filter.init(size.width, CV_32FC3, CV_32FC3, 0, cvSize(block_size,block_size))); stripe_size = size; factorx = (double)(1 << (aperture_size - 1)) * block_size; if( aperture_size0 == CV_SCHARR ) factorx *= 2; if( depth == CV_8U ) factorx *= 255.; factory = factorx = 1./factorx; if( ipp_sobel_vert ) factory = -factory; for( y = 0; y < size.height; y += delta ) { if( !use_ipp ) { delta = MIN( size.height - y, max_dy ); if( y + delta == size.height ) stage = stage & CV_START ? CV_START + CV_END : CV_END; dx_filter.process( src, Dx, cvRect(0,y,-1,delta), cvPoint(0,0), stage ); stripe_size.height = dy_filter.process( src, Dy, cvRect(0,y,-1,delta), cvPoint(0,0), stage ); } else { delta = icvIPPFilterNextStripe( src, tempsrc, y, el_size, el_anchor ); stripe_size.height = delta; if( ipp_sobel_vert ) { IPPI_CALL( ipp_sobel_vert( shifted_ptr, temp_step, Dx->data.ptr, d_step, stripe_size, aperture_size*10 + aperture_size )); IPPI_CALL( ipp_sobel_horiz( shifted_ptr, temp_step, Dy->data.ptr, d_step, stripe_size, aperture_size*10 + aperture_size )); } else /*if( ipp_scharr_vert )*/ { IPPI_CALL( ipp_scharr_vert( shifted_ptr, temp_step, Dx->data.ptr, d_step, stripe_size )); IPPI_CALL( ipp_scharr_horiz( shifted_ptr, temp_step, Dy->data.ptr, d_step, stripe_size )); } } for( i = 0; i < stripe_size.height; i++ ) { float* cov_data = (float*)(cov->data.ptr + i*cov->step); if( d_depth == CV_16S ) { const short* dxdata = (const short*)(Dx->data.ptr + i*Dx->step); const short* dydata = (const short*)(Dy->data.ptr + i*Dy->step); for( j = 0; j < size.width; j++ ) { double dx = dxdata[j]*factorx; double dy = dydata[j]*factory; cov_data[j*3] = (float)(dx*dx); cov_data[j*3+1] = (float)(dx*dy); cov_data[j*3+2] = (float)(dy*dy); } } else { const float* dxdata = (const float*)(Dx->data.ptr + i*Dx->step); const float* dydata = (const float*)(Dy->data.ptr + i*Dy->step); for( j = 0; j < size.width; j++ ) { double dx = dxdata[j]*factorx; double dy = dydata[j]*factory; cov_data[j*3] = (float)(dx*dx); cov_data[j*3+1] = (float)(dx*dy); cov_data[j*3+2] = (float)(dy*dy); } } } if( y + stripe_size.height >= size.height ) stage = stage & CV_START ? CV_START + CV_END : CV_END; stripe_size.height = blur_filter.process(cov,cov, cvRect(0,0,-1,stripe_size.height),cvPoint(0,0),stage+CV_ISOLATED_ROI); if( op_type == ICV_MINEIGENVAL ) icvCalcMinEigenVal( cov->data.fl, cov->step, (float*)(eigenv->data.ptr + dst_y*eigenv->step), eigenv->step, stripe_size, sqrt_buf ); else if( op_type == ICV_HARRIS ) icvCalcHarris( cov->data.fl, cov->step, (float*)(eigenv->data.ptr + dst_y*eigenv->step), eigenv->step, stripe_size, sqrt_buf, k ); else if( op_type == ICV_EIGENVALSVECS ) icvCalcEigenValsVecs( cov->data.fl, cov->step, (float*)(eigenv->data.ptr + dst_y*eigenv->step), eigenv->step, stripe_size, sqrt_buf ); dst_y += stripe_size.height; stage = CV_MIDDLE; } __END__; cvReleaseMat( &Dx ); cvReleaseMat( &Dy ); cvReleaseMat( &cov ); cvReleaseMat( &sqrt_buf ); cvReleaseMat( &tempsrc ); } CV_IMPL void cvCornerMinEigenVal( const void* srcarr, void* eigenvarr, int block_size, int aperture_size ) { CV_FUNCNAME( "cvCornerMinEigenVal" ); __BEGIN__; CvMat stub, *src = (CvMat*)srcarr; CvMat eigstub, *eigenv = (CvMat*)eigenvarr; CV_CALL( src = cvGetMat( srcarr, &stub )); CV_CALL( eigenv = cvGetMat( eigenv, &eigstub )); if( (CV_MAT_TYPE(src->type) != CV_8UC1 && CV_MAT_TYPE(src->type) != CV_32FC1) || CV_MAT_TYPE(eigenv->type) != CV_32FC1 ) CV_ERROR( CV_StsUnsupportedFormat, "Input must be 8uC1 or 32fC1, output must be 32fC1" ); if( !CV_ARE_SIZES_EQ( src, eigenv )) CV_ERROR( CV_StsUnmatchedSizes, "" ); CV_CALL( icvCornerEigenValsVecs( src, eigenv, block_size, aperture_size, ICV_MINEIGENVAL )); __END__; } CV_IMPL void cvCornerHarris( const CvArr* srcarr, CvArr* harris_responce, int block_size, int aperture_size, double k ) { CV_FUNCNAME( "cvCornerHarris" ); __BEGIN__; CvMat stub, *src = (CvMat*)srcarr; CvMat eigstub, *eigenv = (CvMat*)harris_responce; CV_CALL( src = cvGetMat( srcarr, &stub )); CV_CALL( eigenv = cvGetMat( eigenv, &eigstub )); if( (CV_MAT_TYPE(src->type) != CV_8UC1 && CV_MAT_TYPE(src->type) != CV_32FC1) || CV_MAT_TYPE(eigenv->type) != CV_32FC1 ) CV_ERROR( CV_StsUnsupportedFormat, "Input must be 8uC1 or 32fC1, output must be 32fC1" ); if( !CV_ARE_SIZES_EQ( src, eigenv )) CV_ERROR( CV_StsUnmatchedSizes, "" ); CV_CALL( icvCornerEigenValsVecs( src, eigenv, block_size, aperture_size, ICV_HARRIS, k )); __END__; } CV_IMPL void cvCornerEigenValsAndVecs( const void* srcarr, void* eigenvarr, int block_size, int aperture_size ) { CV_FUNCNAME( "cvCornerEigenValsAndVecs" ); __BEGIN__; CvMat stub, *src = (CvMat*)srcarr; CvMat eigstub, *eigenv = (CvMat*)eigenvarr; CV_CALL( src = cvGetMat( srcarr, &stub )); CV_CALL( eigenv = cvGetMat( eigenv, &eigstub )); if( CV_MAT_CN(eigenv->type)*eigenv->cols != src->cols*6 || eigenv->rows != src->rows ) CV_ERROR( CV_StsUnmatchedSizes, "Output array should be 6 times " "wider than the input array and they should have the same height"); if( (CV_MAT_TYPE(src->type) != CV_8UC1 && CV_MAT_TYPE(src->type) != CV_32FC1) || CV_MAT_TYPE(eigenv->type) != CV_32FC1 ) CV_ERROR( CV_StsUnsupportedFormat, "Input must be 8uC1 or 32fC1, output must be 32fC1" ); CV_CALL( icvCornerEigenValsVecs( src, eigenv, block_size, aperture_size, ICV_EIGENVALSVECS )); __END__; } CV_IMPL void cvPreCornerDetect( const void* srcarr, void* dstarr, int aperture_size ) { CvSepFilter dx_filter, dy_filter, d2x_filter, d2y_filter, dxy_filter; CvMat *Dx = 0, *Dy = 0, *D2x = 0, *D2y = 0, *Dxy = 0; CvMat *tempsrc = 0; int buf_size = 1 << 12; CV_FUNCNAME( "cvPreCornerDetect" ); __BEGIN__; int i, j, y, dst_y = 0, max_dy, delta = 0; int temp_step = 0, d_step; uchar* shifted_ptr = 0; int depth, d_depth; int stage = CV_START; CvSobelFixedIPPFunc ipp_sobel_vert = 0, ipp_sobel_horiz = 0, ipp_sobel_vert_second = 0, ipp_sobel_horiz_second = 0, ipp_sobel_cross = 0; CvSize el_size, size, stripe_size; int aligned_width; CvPoint el_anchor; double factor; CvMat stub, *src = (CvMat*)srcarr; CvMat dststub, *dst = (CvMat*)dstarr; bool use_ipp = false; CV_CALL( src = cvGetMat( srcarr, &stub )); CV_CALL( dst = cvGetMat( dst, &dststub )); if( (CV_MAT_TYPE(src->type) != CV_8UC1 && CV_MAT_TYPE(src->type) != CV_32FC1) || CV_MAT_TYPE(dst->type) != CV_32FC1 ) CV_ERROR( CV_StsUnsupportedFormat, "Input must be 8uC1 or 32fC1, output must be 32fC1" ); if( !CV_ARE_SIZES_EQ( src, dst )) CV_ERROR( CV_StsUnmatchedSizes, "" ); if( aperture_size == CV_SCHARR ) CV_ERROR( CV_StsOutOfRange, "CV_SCHARR is not supported by this function" ); if( aperture_size < 3 || aperture_size > 7 || !(aperture_size & 1) ) CV_ERROR( CV_StsOutOfRange, "Derivative filter aperture size must be 3, 5 or 7" ); depth = CV_MAT_DEPTH(src->type); d_depth = depth == CV_8U ? CV_16S : CV_32F; size = cvGetMatSize(src); aligned_width = cvAlign(size.width, 4); el_size = cvSize( aperture_size, aperture_size ); el_anchor = cvPoint( aperture_size/2, aperture_size/2 ); if( aperture_size <= 5 && icvFilterSobelVert_8u16s_C1R_p ) { if( depth == CV_8U ) { ipp_sobel_vert = icvFilterSobelVert_8u16s_C1R_p; ipp_sobel_horiz = icvFilterSobelHoriz_8u16s_C1R_p; ipp_sobel_vert_second = icvFilterSobelVertSecond_8u16s_C1R_p; ipp_sobel_horiz_second = icvFilterSobelHorizSecond_8u16s_C1R_p; ipp_sobel_cross = icvFilterSobelCross_8u16s_C1R_p; } else if( depth == CV_32F ) { ipp_sobel_vert = icvFilterSobelVert_32f_C1R_p; ipp_sobel_horiz = icvFilterSobelHoriz_32f_C1R_p; ipp_sobel_vert_second = icvFilterSobelVertSecond_32f_C1R_p; ipp_sobel_horiz_second = icvFilterSobelHorizSecond_32f_C1R_p; ipp_sobel_cross = icvFilterSobelCross_32f_C1R_p; } } if( ipp_sobel_vert && ipp_sobel_horiz && ipp_sobel_vert_second && ipp_sobel_horiz_second && ipp_sobel_cross ) { CV_CALL( tempsrc = icvIPPFilterInit( src, buf_size, el_size )); shifted_ptr = tempsrc->data.ptr + el_anchor.y*tempsrc->step + el_anchor.x*CV_ELEM_SIZE(depth); temp_step = tempsrc->step ? tempsrc->step : CV_STUB_STEP; max_dy = tempsrc->rows - aperture_size + 1; use_ipp = true; } else { ipp_sobel_vert = ipp_sobel_horiz = 0; ipp_sobel_vert_second = ipp_sobel_horiz_second = ipp_sobel_cross = 0; dx_filter.init_deriv( size.width, depth, d_depth, 1, 0, aperture_size ); dy_filter.init_deriv( size.width, depth, d_depth, 0, 1, aperture_size ); d2x_filter.init_deriv( size.width, depth, d_depth, 2, 0, aperture_size ); d2y_filter.init_deriv( size.width, depth, d_depth, 0, 2, aperture_size ); dxy_filter.init_deriv( size.width, depth, d_depth, 1, 1, aperture_size ); max_dy = buf_size / src->cols; max_dy = MAX( max_dy, aperture_size ); } CV_CALL( Dx = cvCreateMat( max_dy, aligned_width, d_depth )); CV_CALL( Dy = cvCreateMat( max_dy, aligned_width, d_depth )); CV_CALL( D2x = cvCreateMat( max_dy, aligned_width, d_depth )); CV_CALL( D2y = cvCreateMat( max_dy, aligned_width, d_depth )); CV_CALL( Dxy = cvCreateMat( max_dy, aligned_width, d_depth )); Dx->cols = Dy->cols = D2x->cols = D2y->cols = Dxy->cols = size.width; if( !use_ipp ) max_dy -= aperture_size - 1; d_step = Dx->step ? Dx->step : CV_STUB_STEP; stripe_size = size; factor = 1 << (aperture_size - 1); if( depth == CV_8U ) factor *= 255; factor = 1./(factor * factor * factor); aperture_size = aperture_size * 10 + aperture_size; for( y = 0; y < size.height; y += delta ) { if( !use_ipp ) { delta = MIN( size.height - y, max_dy ); CvRect roi = cvRect(0,y,size.width,delta); CvPoint origin=cvPoint(0,0); if( y + delta == size.height ) stage = stage & CV_START ? CV_START + CV_END : CV_END; dx_filter.process(src,Dx,roi,origin,stage); dy_filter.process(src,Dy,roi,origin,stage); d2x_filter.process(src,D2x,roi,origin,stage); d2y_filter.process(src,D2y,roi,origin,stage); stripe_size.height = dxy_filter.process(src,Dxy,roi,origin,stage); } else { delta = icvIPPFilterNextStripe( src, tempsrc, y, el_size, el_anchor ); stripe_size.height = delta; IPPI_CALL( ipp_sobel_vert( shifted_ptr, temp_step, Dx->data.ptr, d_step, stripe_size, aperture_size )); IPPI_CALL( ipp_sobel_horiz( shifted_ptr, temp_step, Dy->data.ptr, d_step, stripe_size, aperture_size )); IPPI_CALL( ipp_sobel_vert_second( shifted_ptr, temp_step, D2x->data.ptr, d_step, stripe_size, aperture_size )); IPPI_CALL( ipp_sobel_horiz_second( shifted_ptr, temp_step, D2y->data.ptr, d_step, stripe_size, aperture_size )); IPPI_CALL( ipp_sobel_cross( shifted_ptr, temp_step, Dxy->data.ptr, d_step, stripe_size, aperture_size )); } for( i = 0; i < stripe_size.height; i++, dst_y++ ) { float* dstdata = (float*)(dst->data.ptr + dst_y*dst->step); if( d_depth == CV_16S ) { const short* dxdata = (const short*)(Dx->data.ptr + i*Dx->step); const short* dydata = (const short*)(Dy->data.ptr + i*Dy->step); const short* d2xdata = (const short*)(D2x->data.ptr + i*D2x->step); const short* d2ydata = (const short*)(D2y->data.ptr + i*D2y->step); const short* dxydata = (const short*)(Dxy->data.ptr + i*Dxy->step); for( j = 0; j < stripe_size.width; j++ ) { double dx = dxdata[j]; double dx2 = dx * dx; double dy = dydata[j]; double dy2 = dy * dy; dstdata[j] = (float)(factor*(dx2*d2ydata[j] + dy2*d2xdata[j] - 2*dx*dy*dxydata[j])); } } else { const float* dxdata = (const float*)(Dx->data.ptr + i*Dx->step); const float* dydata = (const float*)(Dy->data.ptr + i*Dy->step); const float* d2xdata = (const float*)(D2x->data.ptr + i*D2x->step); const float* d2ydata = (const float*)(D2y->data.ptr + i*D2y->step); const float* dxydata = (const float*)(Dxy->data.ptr + i*Dxy->step); for( j = 0; j < stripe_size.width; j++ ) { double dx = dxdata[j]; double dy = dydata[j]; dstdata[j] = (float)(factor*(dx*dx*d2ydata[j] + dy*dy*d2xdata[j] - 2*dx*dy*dxydata[j])); } } } stage = CV_MIDDLE; } __END__; cvReleaseMat( &Dx ); cvReleaseMat( &Dy ); cvReleaseMat( &D2x ); cvReleaseMat( &D2y ); cvReleaseMat( &Dxy ); cvReleaseMat( &tempsrc ); } /* End of file */