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我正在尝试使用 OpenCV 库编写我的第一个程序。我使用 XCode 4.6.2 作为 IDE，并且我已经按照很多教程来设置所有内容。这是我的一小段代码

#include <stdio.h>
#include <iostream>
#include "opencv2/core/core.hpp"
#include "opencv2/features2d/features2d.hpp"
#include "opencv2/highgui/highgui.hpp"
#include <opencv2/nonfree/nonfree.hpp>


using namespace cv;

int main(int argc, const char * argv[])
{

    String pathToImages="myPathToImages/";
    Mat img1=imread(pathToImages+"im1.jpg",CV_LOAD_IMAGE_GRAYSCALE);
    Mat img2=imread(pathToImages+"im2.jpg",CV_LOAD_IMAGE_GRAYSCALE);


    if( !img1.data || !img2.data )
    { std::cout<< " --(!) Error reading images " << std::endl; return -1; }

    //-- Step 1: Detect the keypoints using SIFT Detector

    cv::SiftFeatureDetector detector;


    std::vector<cv::KeyPoint> keypoints_1;
    std::vector<cv::KeyPoint> keypoints_2;


    detector.detect(img1, keypoints_1);
    detector.detect(img2, keypoints_2);

    //DO SOMENTHING

    return 0;
}

如果我尝试构建它，我会收到此错误：

Undefined symbols for architecture x86_64:
  "cv::FeatureDetector::~FeatureDetector()", referenced from:
      cv::Feature2D::~Feature2D() in main.o
  "cv::DescriptorExtractor::~DescriptorExtractor()", referenced from:
      cv::Feature2D::~Feature2D() in main.o
  "cv::SIFT::SIFT(int, int, double, double, double)", referenced from:
      _main in main.o
  "cv::FeatureDetector::detect(cv::Mat const&, std::vector<cv::KeyPoint, std::allocator<cv::KeyPoint> >&, cv::Mat const&) const", referenced from:
      _main in main.o
  "VTT for cv::SIFT", referenced from:
      cv::SIFT::~SIFT() in main.o
ld: symbol(s) not found for architecture x86_64
clang: error: linker command failed with exit code 1 (use -v to see invocation)

我正在使用 libstdc++（GNU C++ 标准库）作为 C++ 标准库。有人知道出了什么问题吗？

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1 回答 1

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我包括图书馆

 #include <opencv2/nonfree/features2d.hpp>

代替

#include "opencv2/features2d/features2d.hpp"

这是我用来应用 SIFT 检测器的完整库

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/nonfree/features2d.hpp>
#include <opencv2/nonfree/nonfree.hpp>
#include <opencv2/opencv.hpp>
#include <opencv2/imgproc/imgproc.hpp>
于 2015-04-09T07:36:03.980 回答