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Open Source Computer Vision Library
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578 lines
21 KiB
578 lines
21 KiB
/*M/////////////////////////////////////////////////////////////////////////////////////// |
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// |
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
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// |
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// By downloading, copying, installing or using the software you agree to this license. |
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// If you do not agree to this license, do not download, install, |
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// copy or use the software. |
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// |
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// |
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// License Agreement |
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// For Open Source Computer Vision Library |
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// |
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. |
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved. |
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// Third party copyrights are property of their respective owners. |
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// |
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// Redistribution and use in source and binary forms, with or without modification, |
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// are permitted provided that the following conditions are met: |
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// |
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// * Redistribution's of source code must retain the above copyright notice, |
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// this list of conditions and the following disclaimer. |
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// |
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// * Redistribution's in binary form must reproduce the above copyright notice, |
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// this list of conditions and the following disclaimer in the documentation |
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// and/or other materials provided with the distribution. |
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// |
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// * The name of the copyright holders may not be used to endorse or promote products |
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// derived from this software without specific prior written permission. |
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// |
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// This software is provided by the copyright holders and contributors "as is" and |
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// any express or implied warranties, including, but not limited to, the implied |
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// warranties of merchantability and fitness for a particular purpose are disclaimed. |
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// In no event shall the Intel Corporation or contributors be liable for any direct, |
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// indirect, incidental, special, exemplary, or consequential damages |
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// (including, but not limited to, procurement of substitute goods or services; |
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// loss of use, data, or profits; or business interruption) however caused |
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// and on any theory of liability, whether in contract, strict liability, |
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// or tort (including negligence or otherwise) arising in any way out of |
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// the use of this software, even if advised of the possibility of such damage. |
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// |
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//M*/ |
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#include "precomp.hpp" |
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cv::Mat cv::getDefaultNewCameraMatrix( InputArray _cameraMatrix, Size imgsize, |
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bool centerPrincipalPoint ) |
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{ |
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Mat cameraMatrix = _cameraMatrix.getMat(); |
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if( !centerPrincipalPoint && cameraMatrix.type() == CV_64F ) |
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return cameraMatrix; |
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Mat newCameraMatrix; |
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cameraMatrix.convertTo(newCameraMatrix, CV_64F); |
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if( centerPrincipalPoint ) |
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{ |
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((double*)newCameraMatrix.data)[2] = (imgsize.width-1)*0.5; |
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((double*)newCameraMatrix.data)[5] = (imgsize.height-1)*0.5; |
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} |
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return newCameraMatrix; |
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} |
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void cv::initUndistortRectifyMap( InputArray _cameraMatrix, InputArray _distCoeffs, |
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InputArray _matR, InputArray _newCameraMatrix, |
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Size size, int m1type, OutputArray _map1, OutputArray _map2 ) |
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{ |
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Mat cameraMatrix = _cameraMatrix.getMat(), distCoeffs = _distCoeffs.getMat(); |
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Mat matR = _matR.getMat(), newCameraMatrix = _newCameraMatrix.getMat(); |
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if( m1type <= 0 ) |
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m1type = CV_16SC2; |
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CV_Assert( m1type == CV_16SC2 || m1type == CV_32FC1 || m1type == CV_32FC2 ); |
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_map1.create( size, m1type ); |
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Mat map1 = _map1.getMat(), map2; |
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if( m1type != CV_32FC2 ) |
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{ |
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_map2.create( size, m1type == CV_16SC2 ? CV_16UC1 : CV_32FC1 ); |
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map2 = _map2.getMat(); |
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} |
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else |
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_map2.release(); |
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Mat_<double> R = Mat_<double>::eye(3, 3); |
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Mat_<double> A = Mat_<double>(cameraMatrix), Ar; |
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if( newCameraMatrix.data ) |
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Ar = Mat_<double>(newCameraMatrix); |
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else |
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Ar = getDefaultNewCameraMatrix( A, size, true ); |
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if( matR.data ) |
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R = Mat_<double>(matR); |
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if( distCoeffs.data ) |
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distCoeffs = Mat_<double>(distCoeffs); |
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else |
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{ |
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distCoeffs.create(12, 1, CV_64F); |
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distCoeffs = 0.; |
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} |
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CV_Assert( A.size() == Size(3,3) && A.size() == R.size() ); |
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CV_Assert( Ar.size() == Size(3,3) || Ar.size() == Size(4, 3)); |
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Mat_<double> iR = (Ar.colRange(0,3)*R).inv(DECOMP_LU); |
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const double* ir = &iR(0,0); |
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double u0 = A(0, 2), v0 = A(1, 2); |
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double fx = A(0, 0), fy = A(1, 1); |
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CV_Assert( distCoeffs.size() == Size(1, 4) || distCoeffs.size() == Size(4, 1) || |
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distCoeffs.size() == Size(1, 5) || distCoeffs.size() == Size(5, 1) || |
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distCoeffs.size() == Size(1, 8) || distCoeffs.size() == Size(8, 1) || |
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distCoeffs.size() == Size(1, 12) || distCoeffs.size() == Size(12, 1)); |
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if( distCoeffs.rows != 1 && !distCoeffs.isContinuous() ) |
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distCoeffs = distCoeffs.t(); |
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double k1 = ((double*)distCoeffs.data)[0]; |
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double k2 = ((double*)distCoeffs.data)[1]; |
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double p1 = ((double*)distCoeffs.data)[2]; |
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double p2 = ((double*)distCoeffs.data)[3]; |
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double k3 = distCoeffs.cols + distCoeffs.rows - 1 >= 5 ? ((double*)distCoeffs.data)[4] : 0.; |
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double k4 = distCoeffs.cols + distCoeffs.rows - 1 >= 8 ? ((double*)distCoeffs.data)[5] : 0.; |
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double k5 = distCoeffs.cols + distCoeffs.rows - 1 >= 8 ? ((double*)distCoeffs.data)[6] : 0.; |
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double k6 = distCoeffs.cols + distCoeffs.rows - 1 >= 8 ? ((double*)distCoeffs.data)[7] : 0.; |
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double s1 = distCoeffs.cols + distCoeffs.rows - 1 >= 12 ? ((double*)distCoeffs.data)[8] : 0.; |
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double s2 = distCoeffs.cols + distCoeffs.rows - 1 >= 12 ? ((double*)distCoeffs.data)[9] : 0.; |
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double s3 = distCoeffs.cols + distCoeffs.rows - 1 >= 12 ? ((double*)distCoeffs.data)[10] : 0.; |
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double s4 = distCoeffs.cols + distCoeffs.rows - 1 >= 12 ? ((double*)distCoeffs.data)[11] : 0.; |
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for( int i = 0; i < size.height; i++ ) |
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{ |
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float* m1f = (float*)(map1.data + map1.step*i); |
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float* m2f = (float*)(map2.data + map2.step*i); |
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short* m1 = (short*)m1f; |
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ushort* m2 = (ushort*)m2f; |
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double _x = i*ir[1] + ir[2], _y = i*ir[4] + ir[5], _w = i*ir[7] + ir[8]; |
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for( int j = 0; j < size.width; j++, _x += ir[0], _y += ir[3], _w += ir[6] ) |
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{ |
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double w = 1./_w, x = _x*w, y = _y*w; |
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double x2 = x*x, y2 = y*y; |
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double r2 = x2 + y2, _2xy = 2*x*y; |
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double kr = (1 + ((k3*r2 + k2)*r2 + k1)*r2)/(1 + ((k6*r2 + k5)*r2 + k4)*r2); |
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double u = fx*(x*kr + p1*_2xy + p2*(r2 + 2*x2) + s1*r2+s2*r2*r2) + u0; |
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double v = fy*(y*kr + p1*(r2 + 2*y2) + p2*_2xy + s3*r2+s4*r2*r2) + v0; |
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if( m1type == CV_16SC2 ) |
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{ |
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int iu = saturate_cast<int>(u*INTER_TAB_SIZE); |
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int iv = saturate_cast<int>(v*INTER_TAB_SIZE); |
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m1[j*2] = (short)(iu >> INTER_BITS); |
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m1[j*2+1] = (short)(iv >> INTER_BITS); |
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m2[j] = (ushort)((iv & (INTER_TAB_SIZE-1))*INTER_TAB_SIZE + (iu & (INTER_TAB_SIZE-1))); |
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} |
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else if( m1type == CV_32FC1 ) |
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{ |
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m1f[j] = (float)u; |
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m2f[j] = (float)v; |
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} |
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else |
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{ |
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m1f[j*2] = (float)u; |
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m1f[j*2+1] = (float)v; |
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} |
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} |
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} |
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} |
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void cv::undistort( InputArray _src, OutputArray _dst, InputArray _cameraMatrix, |
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InputArray _distCoeffs, InputArray _newCameraMatrix ) |
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{ |
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Mat src = _src.getMat(), cameraMatrix = _cameraMatrix.getMat(); |
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Mat distCoeffs = _distCoeffs.getMat(), newCameraMatrix = _newCameraMatrix.getMat(); |
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_dst.create( src.size(), src.type() ); |
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Mat dst = _dst.getMat(); |
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CV_Assert( dst.data != src.data ); |
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int stripe_size0 = std::min(std::max(1, (1 << 12) / std::max(src.cols, 1)), src.rows); |
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Mat map1(stripe_size0, src.cols, CV_16SC2), map2(stripe_size0, src.cols, CV_16UC1); |
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Mat_<double> A, Ar, I = Mat_<double>::eye(3,3); |
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cameraMatrix.convertTo(A, CV_64F); |
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if( distCoeffs.data ) |
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distCoeffs = Mat_<double>(distCoeffs); |
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else |
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{ |
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distCoeffs.create(5, 1, CV_64F); |
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distCoeffs = 0.; |
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} |
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if( newCameraMatrix.data ) |
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newCameraMatrix.convertTo(Ar, CV_64F); |
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else |
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A.copyTo(Ar); |
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double v0 = Ar(1, 2); |
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for( int y = 0; y < src.rows; y += stripe_size0 ) |
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{ |
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int stripe_size = std::min( stripe_size0, src.rows - y ); |
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Ar(1, 2) = v0 - y; |
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Mat map1_part = map1.rowRange(0, stripe_size), |
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map2_part = map2.rowRange(0, stripe_size), |
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dst_part = dst.rowRange(y, y + stripe_size); |
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initUndistortRectifyMap( A, distCoeffs, I, Ar, Size(src.cols, stripe_size), |
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map1_part.type(), map1_part, map2_part ); |
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remap( src, dst_part, map1_part, map2_part, INTER_LINEAR, BORDER_CONSTANT ); |
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} |
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} |
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CV_IMPL void |
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cvUndistort2( const CvArr* srcarr, CvArr* dstarr, const CvMat* Aarr, const CvMat* dist_coeffs, const CvMat* newAarr ) |
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{ |
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cv::Mat src = cv::cvarrToMat(srcarr), dst = cv::cvarrToMat(dstarr), dst0 = dst; |
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cv::Mat A = cv::cvarrToMat(Aarr), distCoeffs = cv::cvarrToMat(dist_coeffs), newA; |
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if( newAarr ) |
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newA = cv::cvarrToMat(newAarr); |
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CV_Assert( src.size() == dst.size() && src.type() == dst.type() ); |
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cv::undistort( src, dst, A, distCoeffs, newA ); |
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} |
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CV_IMPL void cvInitUndistortMap( const CvMat* Aarr, const CvMat* dist_coeffs, |
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CvArr* mapxarr, CvArr* mapyarr ) |
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{ |
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cv::Mat A = cv::cvarrToMat(Aarr), distCoeffs = cv::cvarrToMat(dist_coeffs); |
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cv::Mat mapx = cv::cvarrToMat(mapxarr), mapy, mapx0 = mapx, mapy0; |
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if( mapyarr ) |
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mapy0 = mapy = cv::cvarrToMat(mapyarr); |
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cv::initUndistortRectifyMap( A, distCoeffs, cv::Mat(), A, |
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mapx.size(), mapx.type(), mapx, mapy ); |
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CV_Assert( mapx0.data == mapx.data && mapy0.data == mapy.data ); |
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} |
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void |
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cvInitUndistortRectifyMap( const CvMat* Aarr, const CvMat* dist_coeffs, |
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const CvMat *Rarr, const CvMat* ArArr, CvArr* mapxarr, CvArr* mapyarr ) |
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{ |
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cv::Mat A = cv::cvarrToMat(Aarr), distCoeffs, R, Ar; |
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cv::Mat mapx = cv::cvarrToMat(mapxarr), mapy, mapx0 = mapx, mapy0; |
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if( mapyarr ) |
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mapy0 = mapy = cv::cvarrToMat(mapyarr); |
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if( dist_coeffs ) |
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distCoeffs = cv::cvarrToMat(dist_coeffs); |
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if( Rarr ) |
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R = cv::cvarrToMat(Rarr); |
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if( ArArr ) |
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Ar = cv::cvarrToMat(ArArr); |
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cv::initUndistortRectifyMap( A, distCoeffs, R, Ar, mapx.size(), mapx.type(), mapx, mapy ); |
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CV_Assert( mapx0.data == mapx.data && mapy0.data == mapy.data ); |
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} |
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void cvUndistortPoints( const CvMat* _src, CvMat* _dst, const CvMat* _cameraMatrix, |
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const CvMat* _distCoeffs, |
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const CvMat* matR, const CvMat* matP ) |
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{ |
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double A[3][3], RR[3][3], k[12]={0,0,0,0,0,0,0,0,0,0,0}, fx, fy, ifx, ify, cx, cy; |
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CvMat matA=cvMat(3, 3, CV_64F, A), _Dk; |
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CvMat _RR=cvMat(3, 3, CV_64F, RR); |
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const CvPoint2D32f* srcf; |
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const CvPoint2D64f* srcd; |
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CvPoint2D32f* dstf; |
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CvPoint2D64f* dstd; |
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int stype, dtype; |
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int sstep, dstep; |
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int i, j, n, iters = 1; |
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CV_Assert( CV_IS_MAT(_src) && CV_IS_MAT(_dst) && |
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(_src->rows == 1 || _src->cols == 1) && |
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(_dst->rows == 1 || _dst->cols == 1) && |
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_src->cols + _src->rows - 1 == _dst->rows + _dst->cols - 1 && |
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(CV_MAT_TYPE(_src->type) == CV_32FC2 || CV_MAT_TYPE(_src->type) == CV_64FC2) && |
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(CV_MAT_TYPE(_dst->type) == CV_32FC2 || CV_MAT_TYPE(_dst->type) == CV_64FC2)); |
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CV_Assert( CV_IS_MAT(_cameraMatrix) && |
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_cameraMatrix->rows == 3 && _cameraMatrix->cols == 3 ); |
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cvConvert( _cameraMatrix, &matA ); |
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if( _distCoeffs ) |
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{ |
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CV_Assert( CV_IS_MAT(_distCoeffs) && |
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(_distCoeffs->rows == 1 || _distCoeffs->cols == 1) && |
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(_distCoeffs->rows*_distCoeffs->cols == 4 || |
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_distCoeffs->rows*_distCoeffs->cols == 5 || |
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_distCoeffs->rows*_distCoeffs->cols == 8 || |
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_distCoeffs->rows*_distCoeffs->cols == 12)); |
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_Dk = cvMat( _distCoeffs->rows, _distCoeffs->cols, |
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CV_MAKETYPE(CV_64F,CV_MAT_CN(_distCoeffs->type)), k); |
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cvConvert( _distCoeffs, &_Dk ); |
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iters = 5; |
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} |
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if( matR ) |
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{ |
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CV_Assert( CV_IS_MAT(matR) && matR->rows == 3 && matR->cols == 3 ); |
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cvConvert( matR, &_RR ); |
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} |
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else |
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cvSetIdentity(&_RR); |
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if( matP ) |
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{ |
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double PP[3][3]; |
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CvMat _P3x3, _PP=cvMat(3, 3, CV_64F, PP); |
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CV_Assert( CV_IS_MAT(matP) && matP->rows == 3 && (matP->cols == 3 || matP->cols == 4)); |
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cvConvert( cvGetCols(matP, &_P3x3, 0, 3), &_PP ); |
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cvMatMul( &_PP, &_RR, &_RR ); |
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} |
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srcf = (const CvPoint2D32f*)_src->data.ptr; |
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srcd = (const CvPoint2D64f*)_src->data.ptr; |
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dstf = (CvPoint2D32f*)_dst->data.ptr; |
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dstd = (CvPoint2D64f*)_dst->data.ptr; |
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stype = CV_MAT_TYPE(_src->type); |
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dtype = CV_MAT_TYPE(_dst->type); |
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sstep = _src->rows == 1 ? 1 : _src->step/CV_ELEM_SIZE(stype); |
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dstep = _dst->rows == 1 ? 1 : _dst->step/CV_ELEM_SIZE(dtype); |
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n = _src->rows + _src->cols - 1; |
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fx = A[0][0]; |
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fy = A[1][1]; |
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ifx = 1./fx; |
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ify = 1./fy; |
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cx = A[0][2]; |
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cy = A[1][2]; |
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for( i = 0; i < n; i++ ) |
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{ |
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double x, y, x0, y0; |
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if( stype == CV_32FC2 ) |
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{ |
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x = srcf[i*sstep].x; |
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y = srcf[i*sstep].y; |
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} |
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else |
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{ |
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x = srcd[i*sstep].x; |
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y = srcd[i*sstep].y; |
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} |
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x0 = x = (x - cx)*ifx; |
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y0 = y = (y - cy)*ify; |
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// compensate distortion iteratively |
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for( j = 0; j < iters; j++ ) |
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{ |
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double r2 = x*x + y*y; |
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double icdist = (1 + ((k[7]*r2 + k[6])*r2 + k[5])*r2)/(1 + ((k[4]*r2 + k[1])*r2 + k[0])*r2); |
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double deltaX = 2*k[2]*x*y + k[3]*(r2 + 2*x*x)+ k[8]*r2+k[9]*r2*r2; |
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double deltaY = k[2]*(r2 + 2*y*y) + 2*k[3]*x*y+ k[10]*r2+k[11]*r2*r2; |
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x = (x0 - deltaX)*icdist; |
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y = (y0 - deltaY)*icdist; |
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} |
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double xx = RR[0][0]*x + RR[0][1]*y + RR[0][2]; |
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double yy = RR[1][0]*x + RR[1][1]*y + RR[1][2]; |
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double ww = 1./(RR[2][0]*x + RR[2][1]*y + RR[2][2]); |
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x = xx*ww; |
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y = yy*ww; |
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if( dtype == CV_32FC2 ) |
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{ |
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dstf[i*dstep].x = (float)x; |
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dstf[i*dstep].y = (float)y; |
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} |
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else |
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{ |
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dstd[i*dstep].x = x; |
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dstd[i*dstep].y = y; |
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} |
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} |
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} |
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void cv::undistortPoints( InputArray _src, OutputArray _dst, |
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InputArray _cameraMatrix, |
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InputArray _distCoeffs, |
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InputArray _Rmat, |
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InputArray _Pmat ) |
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{ |
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Mat src = _src.getMat(), cameraMatrix = _cameraMatrix.getMat(); |
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Mat distCoeffs = _distCoeffs.getMat(), R = _Rmat.getMat(), P = _Pmat.getMat(); |
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CV_Assert( src.isContinuous() && (src.depth() == CV_32F || src.depth() == CV_64F) && |
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((src.rows == 1 && src.channels() == 2) || src.cols*src.channels() == 2)); |
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_dst.create(src.size(), src.type(), -1, true); |
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Mat dst = _dst.getMat(); |
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CvMat _csrc = src, _cdst = dst, _ccameraMatrix = cameraMatrix; |
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CvMat matR, matP, _cdistCoeffs, *pR=0, *pP=0, *pD=0; |
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if( R.data ) |
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pR = &(matR = R); |
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if( P.data ) |
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pP = &(matP = P); |
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if( distCoeffs.data ) |
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pD = &(_cdistCoeffs = distCoeffs); |
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cvUndistortPoints(&_csrc, &_cdst, &_ccameraMatrix, pD, pR, pP); |
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} |
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namespace cv |
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{ |
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static Point2f mapPointSpherical(const Point2f& p, float alpha, Vec4d* J, int projType) |
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{ |
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double x = p.x, y = p.y; |
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double beta = 1 + 2*alpha; |
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double v = x*x + y*y + 1, iv = 1/v; |
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double u = std::sqrt(beta*v + alpha*alpha); |
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double k = (u - alpha)*iv; |
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double kv = (v*beta/u - (u - alpha)*2)*iv*iv; |
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double kx = kv*x, ky = kv*y; |
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if( projType == PROJ_SPHERICAL_ORTHO ) |
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{ |
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if(J) |
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*J = Vec4d(kx*x + k, kx*y, ky*x, ky*y + k); |
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return Point2f((float)(x*k), (float)(y*k)); |
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} |
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if( projType == PROJ_SPHERICAL_EQRECT ) |
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{ |
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// equirectangular |
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double iR = 1/(alpha + 1); |
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double x1 = std::max(std::min(x*k*iR, 1.), -1.); |
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double y1 = std::max(std::min(y*k*iR, 1.), -1.); |
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|
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if(J) |
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{ |
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double fx1 = iR/std::sqrt(1 - x1*x1); |
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double fy1 = iR/std::sqrt(1 - y1*y1); |
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*J = Vec4d(fx1*(kx*x + k), fx1*ky*x, fy1*kx*y, fy1*(ky*y + k)); |
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} |
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return Point2f((float)asin(x1), (float)asin(y1)); |
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} |
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CV_Error(CV_StsBadArg, "Unknown projection type"); |
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return Point2f(); |
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} |
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|
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static Point2f invMapPointSpherical(Point2f _p, float alpha, int projType) |
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{ |
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static int avgiter = 0, avgn = 0; |
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|
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double eps = 1e-12; |
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Vec2d p(_p.x, _p.y), q(_p.x, _p.y), err; |
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Vec4d J; |
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int i, maxiter = 5; |
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|
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for( i = 0; i < maxiter; i++ ) |
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{ |
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Point2f p1 = mapPointSpherical(Point2f((float)q[0], (float)q[1]), alpha, &J, projType); |
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err = Vec2d(p1.x, p1.y) - p; |
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if( err[0]*err[0] + err[1]*err[1] < eps ) |
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break; |
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|
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Vec4d JtJ(J[0]*J[0] + J[2]*J[2], J[0]*J[1] + J[2]*J[3], |
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J[0]*J[1] + J[2]*J[3], J[1]*J[1] + J[3]*J[3]); |
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double d = JtJ[0]*JtJ[3] - JtJ[1]*JtJ[2]; |
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d = d ? 1./d : 0; |
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Vec4d iJtJ(JtJ[3]*d, -JtJ[1]*d, -JtJ[2]*d, JtJ[0]*d); |
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Vec2d JtErr(J[0]*err[0] + J[2]*err[1], J[1]*err[0] + J[3]*err[1]); |
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|
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q -= Vec2d(iJtJ[0]*JtErr[0] + iJtJ[1]*JtErr[1], iJtJ[2]*JtErr[0] + iJtJ[3]*JtErr[1]); |
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//Matx22d J(kx*x + k, kx*y, ky*x, ky*y + k); |
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//q -= Vec2d((J.t()*J).inv()*(J.t()*err)); |
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} |
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|
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if( i < maxiter ) |
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{ |
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avgiter += i; |
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avgn++; |
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if( avgn == 1500 ) |
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printf("avg iters = %g\n", (double)avgiter/avgn); |
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} |
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|
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return i < maxiter ? Point2f((float)q[0], (float)q[1]) : Point2f(-FLT_MAX, -FLT_MAX); |
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} |
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|
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} |
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|
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float cv::initWideAngleProjMap( InputArray _cameraMatrix0, InputArray _distCoeffs0, |
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Size imageSize, int destImageWidth, int m1type, |
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OutputArray _map1, OutputArray _map2, int projType, double _alpha ) |
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{ |
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Mat cameraMatrix0 = _cameraMatrix0.getMat(), distCoeffs0 = _distCoeffs0.getMat(); |
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double k[12] = {0,0,0,0,0,0,0,0,0,0,0}, M[9]={0,0,0,0,0,0,0,0,0}; |
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Mat distCoeffs(distCoeffs0.rows, distCoeffs0.cols, CV_MAKETYPE(CV_64F,distCoeffs0.channels()), k); |
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Mat cameraMatrix(3,3,CV_64F,M); |
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Point2f scenter((float)cameraMatrix.at<double>(0,2), (float)cameraMatrix.at<double>(1,2)); |
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Point2f dcenter((destImageWidth-1)*0.5f, 0.f); |
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float xmin = FLT_MAX, xmax = -FLT_MAX, ymin = FLT_MAX, ymax = -FLT_MAX; |
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int N = 9; |
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std::vector<Point2f> uvec(1), vvec(1); |
|
Mat I = Mat::eye(3,3,CV_64F); |
|
float alpha = (float)_alpha; |
|
|
|
int ndcoeffs = distCoeffs0.cols*distCoeffs0.rows*distCoeffs0.channels(); |
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CV_Assert((distCoeffs0.cols == 1 || distCoeffs0.rows == 1) && |
|
(ndcoeffs == 4 || ndcoeffs == 5 || ndcoeffs == 8)); |
|
CV_Assert(cameraMatrix0.size() == Size(3,3)); |
|
distCoeffs0.convertTo(distCoeffs,CV_64F); |
|
cameraMatrix0.convertTo(cameraMatrix,CV_64F); |
|
|
|
alpha = std::min(alpha, 0.999f); |
|
|
|
for( int i = 0; i < N; i++ ) |
|
for( int j = 0; j < N; j++ ) |
|
{ |
|
Point2f p((float)j*imageSize.width/(N-1), (float)i*imageSize.height/(N-1)); |
|
uvec[0] = p; |
|
undistortPoints(uvec, vvec, cameraMatrix, distCoeffs, I, I); |
|
Point2f q = mapPointSpherical(vvec[0], alpha, 0, projType); |
|
if( xmin > q.x ) xmin = q.x; |
|
if( xmax < q.x ) xmax = q.x; |
|
if( ymin > q.y ) ymin = q.y; |
|
if( ymax < q.y ) ymax = q.y; |
|
} |
|
|
|
float scale = (float)std::min(dcenter.x/fabs(xmax), dcenter.x/fabs(xmin)); |
|
Size dsize(destImageWidth, cvCeil(std::max(scale*fabs(ymin)*2, scale*fabs(ymax)*2))); |
|
dcenter.y = (dsize.height - 1)*0.5f; |
|
|
|
Mat mapxy(dsize, CV_32FC2); |
|
double k1 = k[0], k2 = k[1], k3 = k[2], p1 = k[3], p2 = k[4], k4 = k[5], k5 = k[6], k6 = k[7], s1 = k[8], s2 = k[9], s3 = k[10], s4 = k[11]; |
|
double fx = cameraMatrix.at<double>(0,0), fy = cameraMatrix.at<double>(1,1), cx = scenter.x, cy = scenter.y; |
|
|
|
for( int y = 0; y < dsize.height; y++ ) |
|
{ |
|
Point2f* mxy = mapxy.ptr<Point2f>(y); |
|
for( int x = 0; x < dsize.width; x++ ) |
|
{ |
|
Point2f p = (Point2f((float)x, (float)y) - dcenter)*(1.f/scale); |
|
Point2f q = invMapPointSpherical(p, alpha, projType); |
|
if( q.x <= -FLT_MAX && q.y <= -FLT_MAX ) |
|
{ |
|
mxy[x] = Point2f(-1.f, -1.f); |
|
continue; |
|
} |
|
double x2 = q.x*q.x, y2 = q.y*q.y; |
|
double r2 = x2 + y2, _2xy = 2*q.x*q.y; |
|
double kr = 1 + ((k3*r2 + k2)*r2 + k1)*r2/(1 + ((k6*r2 + k5)*r2 + k4)*r2); |
|
double u = fx*(q.x*kr + p1*_2xy + p2*(r2 + 2*x2) + s1*r2+ s2*r2*r2) + cx; |
|
double v = fy*(q.y*kr + p1*(r2 + 2*y2) + p2*_2xy + s3*r2+ s4*r2*r2) + cy; |
|
|
|
mxy[x] = Point2f((float)u, (float)v); |
|
} |
|
} |
|
|
|
if(m1type == CV_32FC2) |
|
{ |
|
_map1.create(mapxy.size(), mapxy.type()); |
|
Mat map1 = _map1.getMat(); |
|
mapxy.copyTo(map1); |
|
_map2.release(); |
|
} |
|
else |
|
convertMaps(mapxy, Mat(), _map1, _map2, m1type, false); |
|
|
|
return scale; |
|
} |
|
|
|
/* End of file */
|
|
|