From 532781e8d2aefb07f6b072f60da971cca4ff5cff Mon Sep 17 00:00:00 2001 From: Maria Dimashova Date: Sun, 11 Mar 2012 09:31:28 +0000 Subject: [PATCH] initial version of rgbd odometry with sample --- .../include/opencv2/contrib/contrib.hpp | 13 + modules/contrib/src/rgbdodometry.cpp | 433 ++++++++++++++++++ samples/cpp/rgbdodometry.cpp | 150 ++++++ samples/cpp/rgbdodometry/depth_00000.png | Bin 0 -> 104673 bytes samples/cpp/rgbdodometry/depth_00002.png | Bin 0 -> 101864 bytes samples/cpp/rgbdodometry/image_00000.png | Bin 0 -> 466110 bytes samples/cpp/rgbdodometry/image_00002.png | Bin 0 -> 443258 bytes 7 files changed, 596 insertions(+) create mode 100644 modules/contrib/src/rgbdodometry.cpp create mode 100644 samples/cpp/rgbdodometry.cpp create mode 100644 samples/cpp/rgbdodometry/depth_00000.png create mode 100644 samples/cpp/rgbdodometry/depth_00002.png create mode 100644 samples/cpp/rgbdodometry/image_00000.png create mode 100644 samples/cpp/rgbdodometry/image_00002.png diff --git a/modules/contrib/include/opencv2/contrib/contrib.hpp b/modules/contrib/include/opencv2/contrib/contrib.hpp index 7eb6a1e766..478814a45f 100644 --- a/modules/contrib/include/opencv2/contrib/contrib.hpp +++ b/modules/contrib/include/opencv2/contrib/contrib.hpp @@ -623,6 +623,19 @@ namespace cv * 4) convert the colors back to RGB */ CV_EXPORTS void generateColors( std::vector& colors, size_t count, size_t factor=100 ); + + + /* + * Estimate the rigid body motion from frame0 to frame1. The method is based on the paper + * "Real-Time Visual Odometry from Dense RGB-D Images", F. Steinbucker, J. Strum, D. Cremers, ICCV, 2011. + */ + CV_EXPORTS bool RGBDOdometry( cv::Mat& Rt, + const cv::Mat& image0, const cv::Mat& depth0, const cv::Mat& mask0, + const cv::Mat& image1, const cv::Mat& depth1, const cv::Mat& mask1, + const cv::Mat& cameraMatrix, const std::vector& iterCounts, + const std::vector& minGradientMagnitudes, + float minDepth, float maxDepth, float maxDepthDiff ); + } #include "opencv2/contrib/retina.hpp" diff --git a/modules/contrib/src/rgbdodometry.cpp b/modules/contrib/src/rgbdodometry.cpp new file mode 100644 index 0000000000..5cfd629eee --- /dev/null +++ b/modules/contrib/src/rgbdodometry.cpp @@ -0,0 +1,433 @@ +/*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) 2000-2008, Intel Corporation, all rights reserved. +// Copyright (C) 2009, Willow Garage Inc., 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 "opencv2/core/core.hpp" +#include "opencv2/calib3d/calib3d.hpp" + +#include "opencv2/highgui/highgui.hpp" +#include "precomp.hpp" + +#include + +#ifdef HAVE_EIGEN +#include +#include + +#include +#endif + +using namespace cv; + +inline static +void computeC( double* C, double dIdx, double dIdy, const Point3f& p3d, double fx, double fy ) +{ + double invz = 1. / p3d.z, + v0 = dIdx * fx * invz, + v1 = dIdy * fy * invz, + v2 = -(v0 * p3d.x + v1 * p3d.y) * invz; + + C[0] = -p3d.z * v1 + p3d.y * v2; + C[1] = p3d.z * v0 - p3d.x * v2; + C[2] = -p3d.y * v0 + p3d.x * v1; + C[3] = v0; + C[4] = v1; + C[5] = v2; +} + +inline static +void computeProjectiveMatrix( const Mat& ksi, Mat& Rt ) +{ + CV_Assert( ksi.size() == Size(1,6) && ksi.type() == CV_64FC1 ); + +#ifdef HAVE_EIGEN + const double* ksi_ptr = reinterpret_cast(ksi.ptr(0)); + Eigen::Matrix twist, g; + twist << 0., -ksi_ptr[2], ksi_ptr[1], ksi_ptr[3], + ksi_ptr[2], 0., -ksi_ptr[0], ksi_ptr[4], + -ksi_ptr[1], ksi_ptr[0], 0, ksi_ptr[5], + 0., 0., 0., 0.; + g = twist.exp(); + + + eigen2cv(g, Rt); +#else + // for infinitesimal transformation + Rt = Mat::eye(4, 4, CV_64FC1); + + Mat R = Rt(Rect(0,0,3,3)); + Mat rvec = ksi.rowRange(0,3); + + Rodrigues( rvec, R ); + + Rt.at(0,3) = ksi.at(3); + Rt.at(1,3) = ksi.at(4); + Rt.at(2,3) = ksi.at(5); +#endif +} + +static +void cvtDepth2Cloud( const Mat& depth, Mat& cloud, const Mat& cameraMatrix ) +{ + CV_Assert( cameraMatrix.type() == CV_64FC1 ); + const double inv_fx = 1.f/cameraMatrix.at(0,0); + const double inv_fy = 1.f/cameraMatrix.at(1,1); + const double ox = cameraMatrix.at(0,2); + const double oy = cameraMatrix.at(1,2); + cloud.create( depth.size(), CV_32FC3 ); + for( int y = 0; y < cloud.rows; y++ ) + { + Point3f* cloud_ptr = reinterpret_cast(cloud.ptr(y)); + const float* depth_prt = reinterpret_cast(depth.ptr(y)); + for( int x = 0; x < cloud.cols; x++ ) + { + float z = depth_prt[x]; + cloud_ptr[x].x = (x - ox) * z * inv_fx; + cloud_ptr[x].y = (y - oy) * z * inv_fy; + cloud_ptr[x].z = z; + } + } +} + +static inline +void set2shorts( int& dst, int short_v1, int short_v2 ) +{ + unsigned short* ptr = reinterpret_cast(&dst); + ptr[0] = static_cast(short_v1); + ptr[1] = static_cast(short_v2); +} + +static inline +void get2shorts( int src, int& short_v1, int& short_v2 ) +{ + unsigned short* ptr = reinterpret_cast(&src); + short_v1 = ptr[0]; + short_v2 = ptr[1]; +} + +static +int computeCorresp( const Mat& K, const Mat& K_inv, const Mat& Rt, + const Mat& depth0, const Mat& depth1, const Mat& texturedMask1, float maxDepthDiff, + Mat& corresps ) +{ + CV_Assert( K.type() == CV_64FC1 ); + CV_Assert( K_inv.type() == CV_64FC1 ); + CV_Assert( Rt.type() == CV_64FC1 ); + + corresps.create( depth1.size(), CV_32SC1 ); + + Mat R = Rt(Rect(0,0,3,3)).clone(); + + Mat KRK_inv = K * R * K_inv; + const double * KRK_inv_ptr = reinterpret_cast(KRK_inv.ptr()); + + Mat Kt = Rt(Rect(3,0,1,3)).clone(); + Kt = K * Kt; + const double * Kt_ptr = reinterpret_cast(Kt.ptr()); + + Rect r(0, 0, depth1.cols, depth1.rows); + + corresps = Scalar(-1); + int correspCount = 0; + for( int v1 = 0; v1 < depth1.rows; v1++ ) + { + for( int u1 = 0; u1 < depth1.cols; u1++ ) + { + float d1 = depth1.at(v1,u1); + if( !cvIsNaN(d1) && texturedMask1.at(v1,u1) ) + { + float transformed_d1 = d1 * (KRK_inv_ptr[6] * u1 + KRK_inv_ptr[7] * v1 + KRK_inv_ptr[8]) + Kt_ptr[2]; + int u0 = cvRound((d1 * (KRK_inv_ptr[0] * u1 + KRK_inv_ptr[1] * v1 + KRK_inv_ptr[2]) + Kt_ptr[0]) / transformed_d1); + int v0 = cvRound((d1 * (KRK_inv_ptr[3] * u1 + KRK_inv_ptr[4] * v1 + KRK_inv_ptr[5]) + Kt_ptr[1]) / transformed_d1); + + if( r.contains(Point(u0,v0)) ) + { + float d0 = depth0.at(v0,u0); + if( !cvIsNaN(d0) && std::abs(transformed_d1 - d0) < maxDepthDiff ) + { + int c = corresps.at(v0,u0); + if( c != -1 ) + { + int exist_u1, exist_v1; + get2shorts( c, exist_u1, exist_v1); + + float exist_d1 = depth1.at(exist_v1,exist_u1) * (KRK_inv_ptr[6] * exist_u1 + KRK_inv_ptr[7] * exist_v1 + KRK_inv_ptr[8]) + Kt_ptr[2]; + + if( transformed_d1 > exist_d1 ) + continue; + } + else + correspCount++; + + set2shorts( corresps.at(v0,u0), u1, v1 ); + } + } + } + } + } + + return correspCount; +} + +static inline +void preprocessDepth( Mat depth0, Mat depth1, + const Mat& validMask0, const Mat& validMask1, + float minDepth, float maxDepth ) +{ + CV_DbgAssert( depth0.size() == depth1.size() ); + + for( int y = 0; y < depth0.rows; y++ ) + { + for( int x = 0; x < depth0.cols; x++ ) + { + float& d0 = depth0.at(y,x); + if( !cvIsNaN(d0) && (d0 > maxDepth || d0 < minDepth || d0 <= 0 || (!validMask0.empty() && !validMask0.at(y,x))) ) + d0 = NAN; + + float& d1 = depth1.at(y,x); + if( !cvIsNaN(d1) && (d1 > maxDepth || d1 < minDepth || d1 <= 0 || (!validMask1.empty() && !validMask1.at(y,x))) ) + d1 = NAN; + } + } +} + +static +void buildPyramids( const Mat& image0, const Mat& image1, + const Mat& depth0, const Mat& depth1, + const Mat& cameraMatrix, double sobelScale, + const vector& minGradMagnitudes, + vector& pyramidImage0, vector& pyramidDepth0, + vector& pyramidImage1, vector& pyramidDepth1, + vector& pyramid_dI_dx1, vector& pyramid_dI_dy1, + vector& pyramidTexturedMask1, vector& pyramidCameraMatrix ) +{ + const int pyramidMaxLevel = minGradMagnitudes.size() - 1; + + buildPyramid( image0, pyramidImage0, pyramidMaxLevel ); + buildPyramid( image1, pyramidImage1, pyramidMaxLevel ); + + pyramid_dI_dx1.resize( pyramidImage1.size() ); + pyramid_dI_dy1.resize( pyramidImage1.size() ); + pyramidTexturedMask1.resize( pyramidImage1.size() ); + + pyramidCameraMatrix.reserve( pyramidImage1.size() ); + + Mat cameraMatrix_dbl; + cameraMatrix.convertTo( cameraMatrix_dbl, CV_64FC1 ); + + for( size_t i = 0; i < pyramidImage1.size(); i++ ) + { + Sobel( pyramidImage1[i], pyramid_dI_dx1[i], CV_16S, 1, 0 ); + Sobel( pyramidImage1[i], pyramid_dI_dy1[i], CV_16S, 0, 1 ); + + const Mat& dx = pyramid_dI_dx1[i]; + const Mat& dy = pyramid_dI_dy1[i]; + + Mat texturedMask( dx.size(), CV_8UC1, Scalar(0) ); + const float minScalesGradMagnitude2 = (minGradMagnitudes[i] * minGradMagnitudes[i]) / (sobelScale * sobelScale); + for( int y = 0; y < dx.rows; y++ ) + { + for( int x = 0; x < dx.cols; x++ ) + { + float m2 = dx.at(y,x)*dx.at(y,x) + dy.at(y,x)*dy.at(y,x); + if( m2 >= minScalesGradMagnitude2 ) + texturedMask.at(y,x) = 255; + } + } + pyramidTexturedMask1[i] = texturedMask; + Mat levelCameraMatrix = i == 0 ? cameraMatrix_dbl : 0.5f * pyramidCameraMatrix[i-1]; + levelCameraMatrix.at(2,2) = 1.; + pyramidCameraMatrix.push_back( levelCameraMatrix ); + } + + buildPyramid( depth0, pyramidDepth0, pyramidMaxLevel ); + buildPyramid( depth1, pyramidDepth1, pyramidMaxLevel ); +} + +static +bool solveSystem( const Mat& C, const Mat& dI_dt, double detThreshold, Mat& Rt ) +{ + Mat ksi; +#ifdef HAVE_EIGEN + Eigen::Matrix eC, eCt, edI_dt; + cv2eigen(C, eC); + cv2eigen(dI_dt, edI_dt); + eCt = eC.transpose(); + + Eigen::Matrix A, B, eksi; + + A = eCt * eC; + double det = A.determinant(); + if( fabs (det) < detThreshold || cvIsNaN(det) || cvIsInf(det) ) + return false; + + B = -eCt * edI_dt; + + eksi = A.ldlt().solve(B); + eigen2cv( eksi, ksi ); + +#else + Mat A = C.t() * C; + + double det = cv::determinant(A); + + if( fabs (det) < detThreshold || cvIsNaN(det) || cvIsInf(det) ) + return false; + + Mat B = -C.t() * dI_dt; + cv::solve( A, B, ksi, DECOMP_CHOLESKY ); +#endif + + computeProjectiveMatrix( ksi, Rt ); + + return true; +} + +bool cv::RGBDOdometry( cv::Mat& Rt, + const cv::Mat& image0, const cv::Mat& _depth0, const cv::Mat& validMask0, + const cv::Mat& image1, const cv::Mat& _depth1, const cv::Mat& validMask1, + const cv::Mat& cameraMatrix, const std::vector& iterCounts, + const std::vector& minGradientMagnitudes, + float minDepth, float maxDepth, float maxDepthDiff ) +{ + const double sobelScale = 1./8; + + Mat depth0 = _depth0.clone(), + depth1 = _depth1.clone(); + + // check RGB-D input data + CV_Assert( !image0.empty() ); + CV_Assert( image0.type() == CV_8UC1 ); + CV_Assert( depth0.type() == CV_32FC1 && depth0.size() == image0.size() ); + + CV_Assert( image1.size() == image0.size() ); + CV_Assert( image1.type() == CV_8UC1 ); + CV_Assert( depth1.type() == CV_32FC1 && depth1.size() == image0.size() ); + + // check masks + CV_Assert( validMask0.empty() || (validMask0.type() == CV_8UC1 && validMask0.size() == image0.size()) ); + CV_Assert( validMask1.empty() || (validMask1.type() == CV_8UC1 && validMask1.size() == image0.size()) ); + + // check camera params + CV_Assert( cameraMatrix.type() == CV_32FC1 && cameraMatrix.size() == Size(3,3) ); + + // other checks + CV_Assert( !iterCounts.empty() ); + CV_Assert( minGradientMagnitudes.size() == iterCounts.size() ); + + preprocessDepth( depth0, depth1, validMask0, validMask1, minDepth, maxDepth ); + + vector pyramidImage0, pyramidDepth0, + pyramidImage1, pyramidDepth1, pyramid_dI_dx1, pyramid_dI_dy1, pyramidTexturedMask1, + pyramidCameraMatrix; + buildPyramids( image0, image1, depth0, depth1, cameraMatrix, sobelScale, minGradientMagnitudes, + pyramidImage0, pyramidDepth0, pyramidImage1, pyramidDepth1, + pyramid_dI_dx1, pyramid_dI_dy1, pyramidTexturedMask1, pyramidCameraMatrix ); + + Mat resultRt = Mat::eye(4,4,CV_64FC1); + for( int level = iterCounts.size() - 1; level >= 0; level-- ) + { + const Mat& levelCameraMatrix = pyramidCameraMatrix[level]; + + const Mat& levelImage0 = pyramidImage0[level]; + const Mat& levelDepth0 = pyramidDepth0[level]; + Mat levelCloud0; + cvtDepth2Cloud( pyramidDepth0[level], levelCloud0, levelCameraMatrix ); + + const Mat& levelImage1 = pyramidImage1[level]; + const Mat& levelDepth1 = pyramidDepth1[level]; + const Mat& level_dI_dx1 = pyramid_dI_dx1[level]; + const Mat& level_dI_dy1 = pyramid_dI_dy1[level]; + + CV_Assert( level_dI_dx1.type() == CV_16S ); + CV_Assert( level_dI_dy1.type() == CV_16S ); + + Mat corresp( levelImage0.size(), levelImage0.type(), CV_32SC1 ); + + // Run transformation search on current level iteratively. + for( int iter = 0; iter < iterCounts[level]; iter ++ ) + { + int correspCount = computeCorresp( levelCameraMatrix, levelCameraMatrix.inv(), resultRt.inv(DECOMP_SVD), + levelDepth0, levelDepth1, pyramidTexturedMask1[level], maxDepthDiff, + corresp ); + + if( correspCount == 0 ) + break; + + Mat C( correspCount, 6, CV_64FC1 ); + Mat dI_dt( correspCount, 1, CV_64FC1 ); + + const double fx = levelCameraMatrix.at(0,0); + const double fy = levelCameraMatrix.at(1,1); + int pointCount = 0; + for( int v0 = 0; v0 < corresp.rows; v0++ ) + { + for( int u0 = 0; u0 < corresp.cols; u0++ ) + { + if( corresp.at(v0,u0) != -1 ) + { + int u1, v1; + get2shorts( corresp.at(v0,u0), u1, v1 ); + + computeC( (double*)C.ptr(pointCount), + sobelScale * level_dI_dx1.at(v1,u1), sobelScale * level_dI_dy1.at(v1,u1), + levelCloud0.at(v0,u0), fx, fy); + + dI_dt.at(pointCount) = static_cast(levelImage1.at(v1,u1)) - + static_cast(levelImage0.at(v0,u0)); + pointCount++; + } + } + } + + const double detThreshold = 1.e-6; + Mat currRt; + bool solutionExist = solveSystem( C, dI_dt, detThreshold, currRt ); + if( !solutionExist ) + break; + + resultRt = currRt * resultRt; + } + } + + Rt = resultRt; + + return !Rt.empty(); +} diff --git a/samples/cpp/rgbdodometry.cpp b/samples/cpp/rgbdodometry.cpp new file mode 100644 index 0000000000..74448b3062 --- /dev/null +++ b/samples/cpp/rgbdodometry.cpp @@ -0,0 +1,150 @@ +#include "opencv2/imgproc/imgproc.hpp" +#include "opencv2/calib3d/calib3d.hpp" +#include "opencv2/contrib/contrib.hpp" +#include "opencv2/highgui/highgui.hpp" + +#include +#include +#include + +using namespace cv; +using namespace std; + +static +void cvtDepth2Cloud( const Mat& depth, Mat& cloud, const Mat& cameraMatrix ) +{ + const float inv_fx = 1.f/cameraMatrix.at(0,0); + const float inv_fy = 1.f/cameraMatrix.at(1,1); + const float ox = cameraMatrix.at(0,2); + const float oy = cameraMatrix.at(1,2); + cloud.create( depth.size(), CV_32FC3 ); + for( int y = 0; y < cloud.rows; y++ ) + { + Point3f* cloud_ptr = (Point3f*)cloud.ptr(y); + const float* depth_prt = (const float*) depth.ptr(y); + for( int x = 0; x < cloud.cols; x++ ) + { + float z = depth_prt[x]; + cloud_ptr[x].x = (x - ox) * z * inv_fx; + cloud_ptr[x].y = (y - oy) * z * inv_fy; + cloud_ptr[x].z = z; + } + } +} + +template +static void warpImage( const Mat& image, const Mat& depth, + const Mat& Rt, const Mat& cameraMatrix, const Mat& distCoeff, + Mat& warpedImage ) +{ + const Rect rect = Rect(0, 0, image.cols, image.rows); + + vector points2d; + Mat cloud, transformedCloud; + + cvtDepth2Cloud( depth, cloud, cameraMatrix ); + perspectiveTransform( cloud, transformedCloud, Rt ); + projectPoints( transformedCloud.reshape(3,1), Mat::eye(3,3,CV_64FC1), Mat::zeros(3,1,CV_64FC1), cameraMatrix, distCoeff, points2d ); + + Mat pointsPositions( points2d ); + pointsPositions = pointsPositions.reshape( 2, image.rows ); + + warpedImage.create( image.size(), image.type() ); + warpedImage = Scalar::all(0); + + Mat zBuffer( image.size(), CV_32FC1, FLT_MAX ); + for( int y = 0; y < image.rows; y++ ) + { + for( int x = 0; x < image.cols; x++ ) + { + const Point3f p3d = transformedCloud.at(y,x); + const Point p2d = pointsPositions.at(y,x); + if( !cvIsNaN(cloud.at(y,x).z) && cloud.at(y,x).z > 0 && + rect.contains(p2d) && zBuffer.at(p2d) > p3d.z ) + { + warpedImage.at(p2d) = image.at(y,x); + zBuffer.at(p2d) = p3d.z; + } + } + } +} + +int main(int argc, char** argv) +{ + float vals[] = {525., 0., 3.1950000000000000e+02, + 0., 525., 2.3950000000000000e+02, + 0., 0., 1.}; + + const Mat cameraMatrix = Mat(3,3,CV_32FC1,vals); + const Mat distCoeff(1,5,CV_32FC1,Scalar(0)); + + if( argc != 5 ) + { + cout << "Format: image0 depth0 image1 depth1" << endl; + cout << "Depth file must be 16U image stored depth in mm." << endl; + return -1; + } + + Mat colorImage0 = imread( argv[1] ); + Mat depth0 = imread( argv[2], -1 ); + + Mat colorImage1 = imread( argv[3] ); + Mat depth1 = imread( argv[4], -1 ); + + if( colorImage0.empty() || depth0.empty() || colorImage1.empty() || depth1.empty() ) + { + cout << "Data (rgb or depth images) is empty."; + return -1; + } + + Mat grayImage0, grayImage1, depthFlt0, depthFlt1/*in meters*/; + cvtColor( colorImage0, grayImage0, CV_BGR2GRAY ); + cvtColor( colorImage1, grayImage1, CV_BGR2GRAY ); + depth0.convertTo( depthFlt0, CV_32FC1, 1./1000 ); + depth1.convertTo( depthFlt1, CV_32FC1, 1./1000 ); + + TickMeter tm; + Mat Rt; + + vector iterCounts(4); + iterCounts[0] = 7; + iterCounts[1] = 7; + iterCounts[2] = 7; + iterCounts[3] = 10; + + vector minGradMagnitudes(4); + minGradMagnitudes[0] = 12; + minGradMagnitudes[1] = 5; + minGradMagnitudes[2] = 3; + minGradMagnitudes[3] = 1; + + const float minDepth = 0; //in meters + const float maxDepth = 3; //in meters + const float maxDepthDiff = 0.07; //in meters + + tm.start(); + bool isFound = cv::RGBDOdometry( Rt, grayImage0, depthFlt0, Mat(), + grayImage1, depthFlt1, Mat(), + cameraMatrix, iterCounts, minGradMagnitudes, + minDepth, maxDepth, maxDepthDiff ); + tm.stop(); + + cout << "Rt = " << Rt << endl; + cout << "Time = " << tm.getTimeSec() << " sec." << endl; + + if( !isFound ) + { + cout << "Rigid body motion cann't be estimated for given RGBD data." << endl; + return -1; + } + + Mat warpedImage0; + warpImage >( colorImage0, depthFlt0, Rt, cameraMatrix, distCoeff, warpedImage0 ); + + imshow( "im0", colorImage0 ); + imshow( "warped_im0", warpedImage0 ); + imshow( "im1", colorImage1 ); + waitKey(); + + return 0; +} diff --git a/samples/cpp/rgbdodometry/depth_00000.png b/samples/cpp/rgbdodometry/depth_00000.png new file mode 100644 index 0000000000000000000000000000000000000000..705ad125de9029109bf9e16e7d52276aae67ea51 GIT binary patch literal 104673 zcmeFZiC5ES*EQT~sWK@dF(9I%%tHW45Ctb90)`+%!W4pqA~MM!iJ++5Vu&>;A}C-0 zH9#Wyg-H;BNJOL2QVlYNK>-C@CKW{yZ~(p&?ESpY`quj=ysLE}tG3s<&N=(+z0XC@ zy1O~4Dy>%f>8GDmU7UA&{`AwL|NQjR&#%`(gXr}aO%?A}F6{Q2#DtBT^D zE1E+$&hZgSjds0Z#NztLV+qW!Gja=KJPTlGiqVes%x!l56Kq zFIm3Ue&!b)`@|2g?i-HCKU}_jm;A%T4~kpmAD-UVBL8sh@swrq4_~dM$v<3j?fU=w zqyM*S`u@{)LEzT4>B5aY$4Ni_0p#_L&D<_M)_XcJY1HUM?Zz`jMbG}+yd9C>;P?5* z6Uo`a4u!VEmzYHzT#Q~@W;U%u-!rGJY|?Ykylq;@%V`rVd)8%d|JwTF`3qz6+pn;j ziCg_^Bm5?@&_-Puc1J$$KNx{!8BxY095*uuqfbJY2SQ7+BGV-0uU 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