opencv3 视频稳像

       OpneCV3.x中提供了专门应用于视频稳像技术的模块，该模块包含一系列用于全局运动图像估计的函数和类。结构体videostab::RansacParams实现了RANSAC算法，这个算法用来实现连续帧间的运动估计。videostab::MotionEstimatorBase是基类中所有全局运动估计方法，videostab::MotionEstimatorRansacL2描述了一个健壮的RANSAC-based全局二维估计方法的最小化L2误差。

#include <opencv2/opencv.hpp>#include <opencv2/videostab.hpp>#include <string>#include <iostream>using namespace std;using namespace cv;using namespace cv::videostab;string inputPath = "inputVideo.avi";string outputPath = "outputVideo.avi";// 视频稳定输出void videoOutput(Ptr<IFrameSource> stabFrames, string outputPath){VideoWriter writer;cv::Mat stabFrame;int nframes = 0;// 设置输出帧率double outputFps = 25;// 遍历搜索视频帧while (!(stabFrame = stabFrames->nextFrame()).empty()){nframes++;// 输出视频稳定帧if (!outputPath.empty()){if (!writer.isOpened())writer.open(outputPath, VideoWriter::fourcc('X', 'V', 'I', 'D'),outputFps, stabFrame.size());writer << stabFrame;}imshow("stabFrame", stabFrame);// esc键退出char key = static_cast<char>(waitKey(100));if (key == 27){cout << endl;break;}}std::cout << "nFrames: " << nframes << endl;std::cout << "finished " << endl;}void cacStabVideo(Ptr<IFrameSource> stabFrames, string srcVideoFile){try{Ptr<VideoFileSource> srcVideo = makePtr<VideoFileSource>(inputPath);cout << "frame count: " << srcVideo->count() << endl;// 运动估计double estPara = 0.1;Ptr<MotionEstimatorRansacL2> est =makePtr<MotionEstimatorRansacL2>(MM_AFFINE);// Ransac参数设置RansacParams ransac = est->ransacParams();ransac.size = 3;ransac.thresh = 5;ransac.eps = 0.5;// Ransac计算est->setRansacParams(ransac);est->setMinInlierRatio(estPara);// Fast特征检测Ptr<FastFeatureDetector> feature_detector =FastFeatureDetector::create();// 运动估计关键点匹配Ptr<KeypointBasedMotionEstimator> motionEstBuilder =makePtr<KeypointBasedMotionEstimator>(est);// 设置特征检测器motionEstBuilder->setDetector(feature_detector);Ptr<IOutlierRejector> outlierRejector = makePtr<NullOutlierRejector>();motionEstBuilder->setOutlierRejector(outlierRejector);// 3-Prepare the stabilizerStabilizerBase *stabilizer = 0;// first, prepare the one or two pass stabilizerbool isTwoPass = 1;int radius_pass = 15;if (isTwoPass){// with a two pass stabilizerbool est_trim = true;TwoPassStabilizer *twoPassStabilizer = new TwoPassStabilizer();twoPassStabilizer->setEstimateTrimRatio(est_trim);twoPassStabilizer->setMotionStabilizer(makePtr<GaussianMotionFilter>(radius_pass));stabilizer = twoPassStabilizer;}else{// with an one pass stabilizerOnePassStabilizer *onePassStabilizer = new OnePassStabilizer();onePassStabilizer->setMotionFilter(makePtr<GaussianMotionFilter>(radius_pass));stabilizer = onePassStabilizer;}// second, set up the parametersint radius = 15;double trim_ratio = 0.1;bool incl_constr = false;stabilizer->setFrameSource(srcVideo);stabilizer->setMotionEstimator(motionEstBuilder);stabilizer->setRadius(radius);stabilizer->setTrimRatio(trim_ratio);stabilizer->setCorrectionForInclusion(incl_constr);stabilizer->setBorderMode(BORDER_REPLICATE);// cast stabilizer to simple frame source interface to read stabilized framesstabFrames.reset(dynamic_cast<IFrameSource*>(stabilizer));// 4-videoOutput the stabilized frames. The results are showed and saved.videoOutput(stabFrames, outputPath);}catch (const exception &e){cout << "error: " << e.what() << endl;stabFrames.release();}}int main(int argc, char* argv[]){Ptr<IFrameSource> stabFrames;// 输入输出视频准备cacStabVideo(stabFrames, inputPath);stabFrames.release();return 0;}