有没有发现手机相机拍全景就是这个原理。
直接代码：
#include <iostream> #include <opencv2/core/core.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv2/opencv.hpp> // 新版本写在下面文件中： #include <opencv2/nonfree/features2d.hpp> //#include "opencv2/features2d/features2d.hpp" #include<opencv2/legacy/legacy.hpp> #include <opencv2/stitching/stitcher.hpp> using namespace std; using namespace cv; bool try_use_gpu = false; vector<Mat> imgs; string result_name = "/Users/liupeng/Desktop/my/opencvLearn/opencvLearn/result.jpg"; void printUsage(); int parseCmdArgs(int argc, char** argv); int main(int argc, char* argv[]) { argc = 4; argv[1] = "/Users/liupeng/Desktop/my/opencvLearn/opencvLearn/lp7.png"; argv[2] = "/Users/liupeng/Desktop/my/opencvLearn/opencvLearn/lp8.png"; argv[3] = "/Users/liupeng/Desktop/my/opencvLearn/opencvLearn/lp9.png"; int retval = parseCmdArgs(argc, argv); if (retval) return -1; Mat pano; Stitcher stitcher = Stitcher::createDefault(try_use_gpu); Stitcher::Status status = stitcher.stitch(imgs, pano); if (status != Stitcher::OK) { cout << "Can't stitch images, error code = " << status << endl; return -1; } imwrite(result_name, pano); return 0; } void printUsage() { cout << "Rotation model images stitcher.\n\n" "stitching img1 img2 [...imgN]\n\n" "Flags:\n" " --try_use_gpu (yes|no)\n" " Try to use GPU. The default value is 'no'. All default values\n" " are for CPU mode.\n" " --output <result_img>\n" " The default is 'result.jpg'.\n"; } int parseCmdArgs(int argc, char** argv) { if (argc == 1) { printUsage(); return -1; } for (int i = 1; i < argc; ++i) { if (string(argv[i]) == "--help" || string(argv[i]) == "/?") { printUsage(); return -1; } else if (string(argv[i]) == "--try_use_gpu") { if (string(argv[i + 1]) == "no") try_use_gpu = false; else if (string(argv[i + 1]) == "yes") try_use_gpu = true; else { cout << "Bad --try_use_gpu flag value\n"; return -1; } i++; } else if (string(argv[i]) == "--output") { result_name = argv[i + 1]; i++; } else { Mat img = imread(argv[i]); if (img.empty()) { cout << "Can't read image '" << argv[i] << "'\n"; return -1; } imgs.push_back(img); } } return 0; } 看一下效果图：
