Opencv2.4.9源码分析——Stitching（八）

最新推荐文章于 2024-09-04 20:18:04 发布

zhaocj

最新推荐文章于 2024-09-04 20:18:04 发布

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分类专栏： opencv 文章标签： opencv 源码拼接算法

本文链接：https://blog.youkuaiyun.com/zhaocj/article/details/78967041

本文介绍了OpenCV2.4.9中全景图像拼接的完整程序，包括平面、柱面、球面和鱼眼映射等不同方式。程序对9张979×550尺寸的图像进行拼接，耗时约10分钟，内存需求高。大尺寸、多数量图像可能导致拼接错误或内存不足问题。

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8、完整的拼接程序

下面给出完整的拼接程序：

#include "opencv2/core/core.hpp"
#include "highgui.h"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/features2d/features2d.hpp"
#include "opencv2/nonfree/nonfree.hpp"
#include "opencv2/legacy/legacy.hpp"

#include "opencv2/stitching/detail/autocalib.hpp"
#include "opencv2/stitching/detail/blenders.hpp"
#include "opencv2/stitching/detail/camera.hpp"
#include "opencv2/stitching/detail/exposure_compensate.hpp"
#include "opencv2/stitching/detail/matchers.hpp"
#include "opencv2/stitching/detail/motion_estimators.hpp"
#include "opencv2/stitching/detail/seam_finders.hpp"
#include "opencv2/stitching/detail/util.hpp"
#include "opencv2/stitching/detail/warpers.hpp"
#include "opencv2/stitching/warpers.hpp"

#include <iostream>
#include <fstream> 
#include <string>
#include <iomanip> 
using namespace cv;
using namespace std;
using namespace detail;

int main(int argc, char** argv)
{
   vector<Mat> imgs;    //输入9幅图像
   Mat img;
   img = imread("1.jpg");	
   imgs.push_back(img);
   img = imread("2.jpg");	
   imgs.push_back(img);
   img = imread("3.jpg");	
   imgs.push_back(img);
   img = imread("4.jpg");	
   imgs.push_back(img);
   img = imread("5.jpg");	
   imgs.push_back(img);
   img = imread("6.jpg");	
   imgs.push_back(img);	
   img = imread("7.jpg");	
   imgs.push_back(img);
   img = imread("8.jpg");	
   imgs.push_back(img);
   img = imread("9.jpg");	
   imgs.push_back(img);

   int num_images = 9;    //图像数量

   Ptr<FeaturesFinder> finder;    //定义特征寻找器
   finder = new SurfFea