opencv3.2 环境下实现 SURF算法：错误调试

环境：opencv3.2+VS2015   Debug  X64      实现SURF算法

代码来自网上，并未修改，知识为了将其调通，遇见错误：

严重性 代码 说明 项目 文件 行 禁止显示状态
错误 LNK2019 无法解析的外部符号 "public: static struct cv::Ptr<class cv::xfeatures2d::SURF> __cdecl cv::xfeatures2d::SURF::create(double,int,int,bool,bool)" (?create@SURF@xfeatures2d@cv@@SA?AU?$Ptr@VSURF@xfeatures2d@cv@@@3@NHH_N0@Z)，该符号在函数 main 中被引用 SURF_Algorithm D:workprojectSURF_AlgorithmSURF_AlgorithmSURF.obj 1

原因是lib文件没有引入

opencv_xfeatures2d320d.lib
opencv_features2d320d.lib

源码：

#include <opencv2/opencv.hpp>  
#include <opencv2/xfeatures2d.hpp>  
#include <opencv2/xfeatures2d/nonfree.hpp>  
#include <iostream> 

#include<iostream>
using namespace std;
using namespace cv;
using namespace cv::xfeatures2d;
int main()
{
    Mat srcImage1 = imread("D://1.jpg", 1);
    Mat srcImage2 = imread("D://1.jpg", 1);
    if (!srcImage1.data || !srcImage2.data)
    {
        cout << "读取图片出错" << endl;
        return false;
    }

    imshow("原始图1", srcImage1);
    imshow("原始图2", srcImage2);

    int minHessian = 100;
    Ptr<SurfFeatureDetector> detector = SurfFeatureDetector::create(minHessian);

    vector<cv::KeyPoint> key_points_1, key_points_2;

    Mat dstImage1, dstImage2;
    detector->detectAndCompute(srcImage1, Mat(), key_points_1, dstImage1);
    detector->detectAndCompute(srcImage2, Mat(), key_points_2, dstImage2);//可以分成detect和compute

    Mat img_keypoints_1, img_keypoints_2;
    drawKeypoints(srcImage1, key_points_1, img_keypoints_1, Scalar::all(-1), DrawMatchesFlags::DEFAULT);
    drawKeypoints(srcImage2, key_points_2, img_keypoints_2, Scalar::all(-1), DrawMatchesFlags::DEFAULT);

    Ptr<DescriptorMatcher> matcher = DescriptorMatcher::create("FlannBased");
    vector<DMatch>mach;

    matcher->match(dstImage1, dstImage2, mach);
    double Max_dist = 0;
    double Min_dist = 100;
    for (int i = 0; i < dstImage1.rows; i++)
    {
        double dist = mach[i].distance;
        if (dist < Min_dist)Min_dist = dist;
        if (dist > Max_dist)Max_dist = dist;
    }
    cout << "最短距离" << Min_dist << endl;
    cout << "最长距离" << Max_dist << endl;

    vector<DMatch>goodmaches;
    for (int i = 0; i < dstImage1.rows; i++)
    {
        if (mach[i].distance < 2 * Min_dist)
            goodmaches.push_back(mach[i]);
    }
    Mat img_maches;
    drawMatches(srcImage1, key_points_1, srcImage2, key_points_2, goodmaches, img_maches);

    for (int i = 0; i < goodmaches.size(); i++)
    {
        cout << "符合条件的匹配：" << goodmaches[i].queryIdx << "--" << goodmaches[i].trainIdx << endl;
    }
    imshow("效果图1", img_keypoints_1);
    imshow("效果图2", img_keypoints_2);
    imshow("匹配效果", img_maches);

    waitKey(0);
    return 0;
}

效果图

环境图像：

opencv文件夹下相关文件的修改：

以上添加的文件均为cmake后获取得到。