82     int wdepth = CV_32F, wtype = CV_MAKE_TYPE(wdepth, cn);  in sumTemplate()
156     image_block.create(dft_size, CV_32F);  in create()
157     templ_block.create(dft_size, CV_32F);  in create()
158     result_data.create(dft_size, CV_32F);  in create()
172     CV_Assert(_image.type() == CV_32F);  in convolve_dft()
173     CV_Assert(_templ.type() == CV_32F);  in convolve_dft()
176     _result.create(buf.result_size, CV_32F);  in convolve_dft()
237     _result.create(_image.rows() - _templ.rows() + 1, _image.cols() - _templ.cols() + 1, CV_32F);  in convolve_32F()
245         UMat result_(image.rows-templ.rows+1,(image.cols-templ.cols+1)*image.channels(), CV_32F);  in convolve_32F()
257     int wdepth = CV_32F, wtype = CV_MAKE_TYPE(wdepth, cn);  in matchTemplateNaive_CCORR()
305             image.convertTo(imagef, CV_32F);  in matchTemplate_CCORR()
306             templ.convertTo(templf, CV_32F);  in matchTemplate_CCORR()
332     integral(image.reshape(1), image_sums, image_sqsums, CV_32F, CV_32F);  in matchTemplate_CCORR_NORMED()
350     int wdepth = CV_32F, wtype = CV_MAKE_TYPE(wdepth, cn);  in matchTemplateNaive_SQDIFF()
360     _result.create(image.rows - templ.rows + 1, image.cols - templ.cols + 1, CV_32F);  in matchTemplateNaive_SQDIFF()
386         _result.create(image.rows - templ.rows + 1, image.cols - templ.cols + 1, CV_32F);  in matchTemplate_SQDIFF()
390         integral(image.reshape(1), image_sums, image_sqsums, CV_32F, CV_32F);  in matchTemplate_SQDIFF()
417     _result.create(image.rows - templ.rows + 1, image.cols - templ.cols + 1, CV_32F);  in matchTemplate_SQDIFF_NORMED()
421     integral(image.reshape(1), image_sums, image_sqsums, CV_32F, CV_32F);  in matchTemplate_SQDIFF_NORMED()
442     integral(_image, image_sums, CV_32F);  in matchTemplate_CCOEFF()
477     integral(_image, image_sums, image_sqsums, CV_32F, CV_32F);  in matchTemplate_CCOEFF_NORMED()
488     _result.create(size.height - templ.rows + 1, size.width - templ.cols + 1, CV_32F);  in matchTemplate_CCOEFF_NORMED()
497         multiply(templ, templ, temp, 1, CV_32F);  in matchTemplate_CCOEFF_NORMED()
517         multiply(templ, templ, temp, 1, CV_32F);  in matchTemplate_CCOEFF_NORMED()
581             depth==CV_32F? (ippimatchTemplate)ippiCrossCorrNorm_32f_C1R: 0;  in ipp_crossCorr()
614             depth==CV_32F? (ippimatchTemplate)ippiSqrDistanceNorm_32f_C1R: 0;  in ipp_sqrDistance()
650     if( depth != tdepth && tdepth != std::max(CV_32F, depth) )  in crossCorr()
652         _templ.convertTo(templ, std::max(CV_32F, depth));  in crossCorr()
656     CV_Assert( depth == tdepth || tdepth == CV_32F);  in crossCorr()
664     int maxDepth = depth > CV_8S ? CV_64F : std::max(std::max(CV_32F, tdepth), cdepth);  in crossCorr()
822     CV_Assert( (depth == CV_8U || depth == CV_32F) && type == _templ.type() && _img.dims() <= 2 );  in matchTemplateMask()
830         depth = CV_32F;  in matchTemplateMask()
831         type = CV_MAKETYPE(CV_32F, cn);  in matchTemplateMask()
837         tdepth = CV_32F;  in matchTemplateMask()
838         ttype = CV_MAKETYPE(CV_32F, tcn);  in matchTemplateMask()
844         mdepth = CV_32F;  in matchTemplateMask()
845         mtype = CV_MAKETYPE(CV_32F, mcn);  in matchTemplateMask()
851     _result.create(corrSize, CV_32F);  in matchTemplateMask()
870         Mat corr(corrSize, CV_32F);  in matchTemplateMask()
885         Mat corr(corrSize, CV_32F);  in matchTemplateMask()
910     CV_Assert( (depth == CV_8U || depth == CV_32F) && type == _templ.type() && _img.dims() <= 2 );  in matchTemplate()
932     _result.create(corrSize, CV_32F);  in matchTemplate()
1093               result.type() == CV_32F );  in cvMatchTemplate()