/* * stereo_match.cpp * calibration * * Created by Victor Eruhimov on 1/18/10. * Copyright 2010 Argus Corp. All rights reserved. * */ #include "opencv2/calib3d/calib3d.hpp" #include "opencv2/imgproc/imgproc.hpp" #include "opencv2/highgui/highgui.hpp" #include "opencv2/contrib/contrib.hpp" #include using namespace cv; void print_help() { printf("\nDemo stereo matching converting L and R images into disparity and point clouds\n"); printf("\nUsage: stereo_match [--algorithm=bm|sgbm|hh|var] [--blocksize=]\n" "[--max-disparity=] [--scale=scale_factor>] [-i ] [-e ]\n" "[--no-display] [-o ] [-p ]\n"); } void saveXYZ(const char* filename, const Mat& mat) { const double max_z = 1.0e4; FILE* fp = fopen(filename, "wt"); for(int y = 0; y < mat.rows; y++) { for(int x = 0; x < mat.cols; x++) { Vec3f point = mat.at(y, x); if(fabs(point[2] - max_z) < FLT_EPSILON || fabs(point[2]) > max_z) continue; fprintf(fp, "%f %f %f\n", point[0], point[1], point[2]); } } fclose(fp); } int main(int argc, char** argv) { const char* algorithm_opt = "--algorithm="; const char* maxdisp_opt = "--max-disparity="; const char* blocksize_opt = "--blocksize="; const char* nodisplay_opt = "--no-display="; const char* scale_opt = "--scale="; if(argc < 3) { print_help(); return 0; } const char* img1_filename = 0; const char* img2_filename = 0; const char* intrinsic_filename = 0; const char* extrinsic_filename = 0; const char* disparity_filename = 0; const char* point_cloud_filename = 0; enum { STEREO_BM=0, STEREO_SGBM=1, STEREO_HH=2, STEREO_VAR=3 }; int alg = STEREO_SGBM; int SADWindowSize = 0, numberOfDisparities = 0; bool no_display = false; float scale = 1.f; StereoBM bm; StereoSGBM sgbm; StereoVar var; for( int i = 1; i < argc; i++ ) { if( argv[i][0] != '-' ) { if( !img1_filename ) img1_filename = argv[i]; else img2_filename = argv[i]; } else if( strncmp(argv[i], algorithm_opt, strlen(algorithm_opt)) == 0 ) { char* _alg = argv[i] + strlen(algorithm_opt); alg = strcmp(_alg, "bm") == 0 ? STEREO_BM : strcmp(_alg, "sgbm") == 0 ? STEREO_SGBM : strcmp(_alg, "hh") == 0 ? STEREO_HH : strcmp(_alg, "var") == 0 ? STEREO_VAR : -1; if( alg < 0 ) { printf("Command-line parameter error: Unknown stereo algorithm\n\n"); print_help(); return -1; } } else if( strncmp(argv[i], maxdisp_opt, strlen(maxdisp_opt)) == 0 ) { if( sscanf( argv[i] + strlen(maxdisp_opt), "%d", &numberOfDisparities ) != 1 || numberOfDisparities < 1 || numberOfDisparities % 16 != 0 ) { printf("Command-line parameter error: The max disparity (--maxdisparity=<...>) must be a positive integer divisible by 16\n"); print_help(); return -1; } } else if( strncmp(argv[i], blocksize_opt, strlen(blocksize_opt)) == 0 ) { if( sscanf( argv[i] + strlen(blocksize_opt), "%d", &SADWindowSize ) != 1 || SADWindowSize < 1 || SADWindowSize % 2 != 1 ) { printf("Command-line parameter error: The block size (--blocksize=<...>) must be a positive odd number\n"); return -1; } } else if( strncmp(argv[i], scale_opt, strlen(scale_opt)) == 0 ) { if( sscanf( argv[i] + strlen(scale_opt), "%f", &scale ) != 1 || scale < 0 ) { printf("Command-line parameter error: The scale factor (--scale=<...>) must be a positive floating-point number\n"); return -1; } } else if( strcmp(argv[i], nodisplay_opt) == 0 ) no_display = true; else if( strcmp(argv[i], "-i" ) == 0 ) intrinsic_filename = argv[++i]; else if( strcmp(argv[i], "-e" ) == 0 ) extrinsic_filename = argv[++i]; else if( strcmp(argv[i], "-o" ) == 0 ) disparity_filename = argv[++i]; else if( strcmp(argv[i], "-p" ) == 0 ) point_cloud_filename = argv[++i]; else { printf("Command-line parameter error: unknown option %s\n", argv[i]); return -1; } } if( !img1_filename || !img2_filename ) { printf("Command-line parameter error: both left and right images must be specified\n"); return -1; } if( (intrinsic_filename != 0) ^ (extrinsic_filename != 0) ) { printf("Command-line parameter error: either both intrinsic and extrinsic parameters must be specified, or none of them (when the stereo pair is already rectified)\n"); return -1; } if( extrinsic_filename == 0 && point_cloud_filename ) { printf("Command-line parameter error: extrinsic and intrinsic parameters must be specified to compute the point cloud\n"); return -1; } int color_mode = alg == STEREO_BM ? 0 : -1; Mat img1 = imread(img1_filename, color_mode); Mat img2 = imread(img2_filename, color_mode); if( scale != 1.f ) { Mat temp1, temp2; int method = scale < 1 ? INTER_AREA : INTER_CUBIC; resize(img1, temp1, Size(), scale, scale, method); img1 = temp1; resize(img2, temp2, Size(), scale, scale, method); img2 = temp2; } Size img_size = img1.size(); Rect roi1, roi2; Mat Q; if( intrinsic_filename ) { // reading intrinsic parameters FileStorage fs(intrinsic_filename, CV_STORAGE_READ); if(!fs.isOpened()) { printf("Failed to open file %s\n", intrinsic_filename); return -1; } Mat M1, D1, M2, D2; fs["M1"] >> M1; fs["D1"] >> D1; fs["M2"] >> M2; fs["D2"] >> D2; fs.open(extrinsic_filename, CV_STORAGE_READ); if(!fs.isOpened()) { printf("Failed to open file %s\n", extrinsic_filename); return -1; } Mat R, T, R1, P1, R2, P2; fs["R"] >> R; fs["T"] >> T; stereoRectify( M1, D1, M2, D2, img_size, R, T, R1, R2, P1, P2, Q, CALIB_ZERO_DISPARITY, -1, img_size, &roi1, &roi2 ); Mat map11, map12, map21, map22; initUndistortRectifyMap(M1, D1, R1, P1, img_size, CV_16SC2, map11, map12); initUndistortRectifyMap(M2, D2, R2, P2, img_size, CV_16SC2, map21, map22); Mat img1r, img2r; remap(img1, img1r, map11, map12, INTER_LINEAR); remap(img2, img2r, map21, map22, INTER_LINEAR); img1 = img1r; img2 = img2r; } numberOfDisparities = numberOfDisparities > 0 ? numberOfDisparities : ((img_size.width/8) + 15) & -16; bm.state->roi1 = roi1; bm.state->roi2 = roi2; bm.state->preFilterCap = 31; bm.state->SADWindowSize = SADWindowSize > 0 ? SADWindowSize : 9; bm.state->minDisparity = 0; bm.state->numberOfDisparities = numberOfDisparities; bm.state->textureThreshold = 10; bm.state->uniquenessRatio = 15; bm.state->speckleWindowSize = 100; bm.state->speckleRange = 32; bm.state->disp12MaxDiff = 1; sgbm.preFilterCap = 63; sgbm.SADWindowSize = SADWindowSize > 0 ? SADWindowSize : 3; int cn = img1.channels(); sgbm.P1 = 8*cn*sgbm.SADWindowSize*sgbm.SADWindowSize; sgbm.P2 = 32*cn*sgbm.SADWindowSize*sgbm.SADWindowSize; sgbm.minDisparity = 0; sgbm.numberOfDisparities = numberOfDisparities; sgbm.uniquenessRatio = 10; sgbm.speckleWindowSize = bm.state->speckleWindowSize; sgbm.speckleRange = bm.state->speckleRange; sgbm.disp12MaxDiff = 1; sgbm.fullDP = alg == STEREO_HH; var.levels = 3; // ignored with USE_AUTO_PARAMS var.pyrScale = 0.5; // ignored with USE_AUTO_PARAMS var.nIt = 25; var.minDisp = -numberOfDisparities; var.maxDisp = 0; var.poly_n = 3; var.poly_sigma = 0.0; var.fi = 15.0f; var.lambda = 0.03f; var.penalization = var.PENALIZATION_TICHONOV; // ignored with USE_AUTO_PARAMS var.cycle = var.CYCLE_V; // ignored with USE_AUTO_PARAMS var.flags = var.USE_SMART_ID | var.USE_AUTO_PARAMS | var.USE_INITIAL_DISPARITY | var.USE_MEDIAN_FILTERING ; Mat disp, disp8; //Mat img1p, img2p, dispp; //copyMakeBorder(img1, img1p, 0, 0, numberOfDisparities, 0, IPL_BORDER_REPLICATE); //copyMakeBorder(img2, img2p, 0, 0, numberOfDisparities, 0, IPL_BORDER_REPLICATE); int64 t = getTickCount(); if( alg == STEREO_BM ) bm(img1, img2, disp); else if( alg == STEREO_VAR ) { var(img1, img2, disp); } else if( alg == STEREO_SGBM || alg == STEREO_HH ) sgbm(img1, img2, disp); t = getTickCount() - t; printf("Time elapsed: %fms\n", t*1000/getTickFrequency()); //disp = dispp.colRange(numberOfDisparities, img1p.cols); if( alg != STEREO_VAR ) disp.convertTo(disp8, CV_8U, 255/(numberOfDisparities*16.)); else disp.convertTo(disp8, CV_8U); if( !no_display ) { namedWindow("left", 1); imshow("left", img1); namedWindow("right", 1); imshow("right", img2); namedWindow("disparity", 0); imshow("disparity", disp8); printf("press any key to continue..."); fflush(stdout); waitKey(); printf("\n"); } if(disparity_filename) imwrite(disparity_filename, disp8); if(point_cloud_filename) { printf("storing the point cloud..."); fflush(stdout); Mat xyz; reprojectImageTo3D(disp, xyz, Q, true); saveXYZ(point_cloud_filename, xyz); printf("\n"); } return 0; }