opencv全景图拼接

本文主要是介绍opencv全景图拼接，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！

出处　http://blog.csdn.net/Real_Myth

简介
基本的拼接方式参见：　《opencv实现图像的拼接功能》　
本博文基于取景模式讲解图像拼接。API全面基本的介绍介绍参见：

　　OpenCV官网:http://docs.opencv.org/modules/stitching/doc/stitching.htｍl
在opencv源代码中stitching.cpp　是简单版图像拼接实例，参见《opencv实现图像的拼接功能》。
stitching_detailed.cpp　复杂全面版图像拼接实例。

简单实例（stitching.cpp）

　　首先看下，opencv实现图像拼接的最简单实例，这是将stitching.cpp裁剪到最简单的代码

具体精简代码如下：
#include <iostream>
#include <fstream>
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/stitching/stitcher.hpp"

using namespace std;
using namespace cv;

bool try_use_gpu = true; //false;
vector<Mat> imgs;
string result_name = "result.jpg";

int parseCmdArgs(int argc, char** argv)
{
    for (int i = 1; i < argc; ++i){
        Mat img = imread(argv[i]);
        if (img.empty()){
            cout << "Can't read image '" << argv[i] << "'\n";
            return -1;
        }
        imgs.push_back(img);
        imshow(argv[i], img);
    }
    return 0;
}

int main(int argc, char* argv[])
{
    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 = " << int(status) << endl;
        return -1;
    }

    imwrite(result_name, pano);
    imshow("show", pano);
    cv::waitKey(0);
    return 0;
}

效果演示

　　

基于不同模式的全景拼接（stitching_detailed.cpp精简版）

代码具体代码如下：

#include <iostream>
#include <fstream>
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/stitching/stitcher.hpp"

using namespace std;
using namespace cv;

bool try_use_gpu = false;
vector<Mat> imgs;
string result_name = "result.jpg";

int parseCmdArgs(int argc, char** argv)
{ //输入的图片全部填充到容器imgs中,并将输入的图片显示出来。
    for (int i = 1; i < argc-1; ++i)
    {
        Mat img = imread(argv[i]);
        if (img.empty()){
            cout << "Can't read image '" << argv[i] << "'\n";
            return -1;
        }
        imgs.push_back(img);

        imshow(argv[i], img);
    }
    return 0;
}

int main(int argc, char* argv[])
{
    int retval = parseCmdArgs(argc, argv);
    if (retval) return -1;

    Mat pano;
    Stitcher stitcher = Stitcher::createDefault(try_use_gpu); //创建一个stitcher对象。

    if(argv[4][0] == '1')
    { //1:平面拼接
        PlaneWarper* cw = new PlaneWarper();
        stitcher.setWarper(cw);
    }
    else if(argv[4][0] == '2')
    {//2:柱面拼接
        SphericalWarper* cw = new SphericalWarper();
        stitcher.setWarper(cw);
    }
    else if(argv[4][0] == '3')
    {//3:立体画面拼接
        StereographicWarper *cw = new cv::StereographicWarper();
        stitcher.setWarper(cw);
    }

    //使用Surf算法来寻找特征点,支持Surf和Orb两种方式
    detail::SurfFeaturesFinder *featureFinder = new detail::SurfFeaturesFinder();
    stitcher.setFeaturesFinder(featureFinder);

    /*匹配给定的图像和估计相机的旋转*/
    Stitcher::Status status = stitcher.estimateTransform(imgs); //另一种方式来实现拼接
    if (status != Stitcher::OK)
    {
        cout << "Can't stitch images, error code = " << int(status) << endl;
        return -1;
    }

    /*生成全景图像*/
    status = stitcher.composePanorama(pano);
    if (status != Stitcher::OK)
    {
        cout << "Can't stitch images, error code = " << int(status) << endl;
        return -1;
    }

    imwrite(result_name, pano);
    imshow("show", pano);
    cv::waitKey(0);
    return 0;
}