/*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. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000, Intel Corporation, all rights reserved. // Copyright (C) 2013, OpenCV Foundation, 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 the copyright holders 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 "precomp.hpp" void cv::cornerSubPix( InputArray _image, InputOutputArray _corners, Size win, Size zeroZone, TermCriteria criteria ) { CV_INSTRUMENT_REGION() const int MAX_ITERS = 100; int win_w = win.width * 2 + 1, win_h = win.height * 2 + 1; int i, j, k; int max_iters = (criteria.type & CV_TERMCRIT_ITER) ? MIN(MAX(criteria.maxCount, 1), MAX_ITERS) : MAX_ITERS; double eps = (criteria.type & CV_TERMCRIT_EPS) ? MAX(criteria.epsilon, 0.) : 0; eps *= eps; // use square of error in comparsion operations cv::Mat src = _image.getMat(), cornersmat = _corners.getMat(); int count = cornersmat.checkVector(2, CV_32F); CV_Assert( count >= 0 ); Point2f* corners = cornersmat.ptr(); if( count == 0 ) return; CV_Assert( win.width > 0 && win.height > 0 ); CV_Assert( src.cols >= win.width*2 + 5 && src.rows >= win.height*2 + 5 ); CV_Assert( src.channels() == 1 ); Mat maskm(win_h, win_w, CV_32F), subpix_buf(win_h+2, win_w+2, CV_32F); float* mask = maskm.ptr(); for( i = 0; i < win_h; i++ ) { float y = (float)(i - win.height)/win.height; float vy = std::exp(-y*y); for( j = 0; j < win_w; j++ ) { float x = (float)(j - win.width)/win.width; mask[i * win_w + j] = (float)(vy*std::exp(-x*x)); } } // make zero_zone if( zeroZone.width >= 0 && zeroZone.height >= 0 && zeroZone.width * 2 + 1 < win_w && zeroZone.height * 2 + 1 < win_h ) { for( i = win.height - zeroZone.height; i <= win.height + zeroZone.height; i++ ) { for( j = win.width - zeroZone.width; j <= win.width + zeroZone.width; j++ ) { mask[i * win_w + j] = 0; } } } // do optimization loop for all the points for( int pt_i = 0; pt_i < count; pt_i++ ) { Point2f cT = corners[pt_i], cI = cT; int iter = 0; double err = 0; do { Point2f cI2; double a = 0, b = 0, c = 0, bb1 = 0, bb2 = 0; getRectSubPix(src, Size(win_w+2, win_h+2), cI, subpix_buf, subpix_buf.type()); const float* subpix = &subpix_buf.at(1,1); // process gradient for( i = 0, k = 0; i < win_h; i++, subpix += win_w + 2 ) { double py = i - win.height; for( j = 0; j < win_w; j++, k++ ) { double m = mask[k]; double tgx = subpix[j+1] - subpix[j-1]; double tgy = subpix[j+win_w+2] - subpix[j-win_w-2]; double gxx = tgx * tgx * m; double gxy = tgx * tgy * m; double gyy = tgy * tgy * m; double px = j - win.width; a += gxx; b += gxy; c += gyy; bb1 += gxx * px + gxy * py; bb2 += gxy * px + gyy * py; } } double det=a*c-b*b; if( fabs( det ) <= DBL_EPSILON*DBL_EPSILON ) break; // 2x2 matrix inversion double scale=1.0/det; cI2.x = (float)(cI.x + c*scale*bb1 - b*scale*bb2); cI2.y = (float)(cI.y - b*scale*bb1 + a*scale*bb2); err = (cI2.x - cI.x) * (cI2.x - cI.x) + (cI2.y - cI.y) * (cI2.y - cI.y); cI = cI2; if( cI.x < 0 || cI.x >= src.cols || cI.y < 0 || cI.y >= src.rows ) break; } while( ++iter < max_iters && err > eps ); // if new point is too far from initial, it means poor convergence. // leave initial point as the result if( fabs( cI.x - cT.x ) > win.width || fabs( cI.y - cT.y ) > win.height ) cI = cT; corners[pt_i] = cI; } } CV_IMPL void cvFindCornerSubPix( const void* srcarr, CvPoint2D32f* _corners, int count, CvSize win, CvSize zeroZone, CvTermCriteria criteria ) { if(!_corners || count <= 0) return; cv::Mat src = cv::cvarrToMat(srcarr), corners(count, 1, CV_32FC2, _corners); cv::cornerSubPix(src, corners, win, zeroZone, criteria); } /* End of file. */