Question

我一直在尝试使用Opencv calibrateCamera（）函数校准我的相机一段时间。我遵循了opencv示例程序中描述的相同过程。我试图首先加载10 9 x 6棋盘图像。然后找到棋盘角。如果发现角落，那么角落就会出现问题。像素位置存储在矢量＆lt;矢量＆lt; Point2f＆GT;＆GT; ImagePoints。对所有图像执行此操作后，将执行runCalibrationAndSave部分。在runCalibrationAndSave中，执行第一个runCalibration部分，其中ObjectPoints（类型为vector＆lt; vector＆lt; Point3f＆gt;＆gt;）被填充有角落＆＃39;实际坐标值。到目前为止，代码运行良好，没有问题。准确找到棋盘角，ImagePoints向量也用向量填充。但是当它转到calibrateCamera（）部分时，OpenCV :: assertion失败并出现以下错误：

OpenCV错误：

断言失败（nimages＆gt; 0＆amp;＆amp; nimages ==（int）imagePoints1.total（）＆安培;＆安培; （！imgPtMat2 || nimages ==（int）imagePoints2.total（））in in collectCalibrationData，file /............/modules/calib3d/src/calibration.cpp，第3164行

我针对同样的问题做了一些研究，发现当ObjectPoints向量和ImagePoints向量长度不等或者没有正确填充时，通常会出现这个问题。但在我的情况下，我已经检查了调试模式，两个向量都正确填充相同的长度。作为参考，我已经附加了在calibrateCamera（）部分之前正确运行的代码部分，然后断言失败。

#include <iostream>
#include <sstream>
#include <time.h>
#include <stdio.h>

#include <opencv2/core/core.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/calib3d/calib3d.hpp>
#include <opencv2/highgui/highgui.hpp>


using namespace cv;
using namespace std;
class Settings
{public:
Size boardSize;            
float squareSize;          


};
bool runCalibrationAndSave(Settings& s, Size imageSize, Mat&  cameraMatrix, Mat& distCoeffs,
                       vector<vector<Point2f> > imagePoints );

int main()
{
Settings s;
s.boardSize.width =9;
s.boardSize.height=6;
s.squareSize=50;
  Mat cameraMatrix, distCoeffs;
Size imageSize;
char filename[512];
vector<vector<Point2f> > imagePoints;
for(int counter=0; counter<10; counter++)        
{sprintf( filename, "chessboard%d.jpg", counter );

IplImage* img = cvLoadImage(filename);


 cv::Mat& m = cv::cvarrToMat(img);

Mat pointBuf = Mat::zeros(54,2,CV_32FC1);
vector<Point2f> pointBuf_vec;

bool found=false;


found = findChessboardCorners( m,s.boardSize, pointBuf,CV_CALIB_CB_ADAPTIVE_THRESH |    CV_CALIB_CB_FAST_CHECK | CV_CALIB_CB_NORMALIZE_IMAGE);
if(found)
{
cout<<"check"<<endl;
Mat viewGray;
                cvtColor(m, viewGray, CV_BGR2GRAY);
                cornerSubPix( viewGray, pointBuf, Size(11    ,11),Size(-1,-1),         TermCriteria( CV_TERMCRIT_EPS+CV_TERMCRIT_ITER, 30, 0.1 ));
 drawChessboardCorners( m, s.boardSize, Mat(pointBuf), found );


pointBuf_vec.clear();

 for(int i=0;i<54;i++)
 {
 Point2f temp;
 temp.x=pointBuf.at<float>(i,0);
 temp.y=pointBuf.at<float>(i,1);
 pointBuf_vec.push_back(temp);

 }

 imagePoints.push_back(pointBuf_vec);




}


imshow("Example1",m);
cvWaitKey(); 

imageSize = m.size();
}
runCalibrationAndSave(s, imageSize,  cameraMatrix, distCoeffs, imagePoints);
return 0;


}



static void calcBoardCornerPositions(Size boardSize, float squareSize,     vector<Point3f>& corners)

{
corners.clear();

    for( int i = 0; i < boardSize.height; i++ )
        for( int j = 0; j < boardSize.width; j++ )
           { corners.push_back(Point3f(float( j*squareSize ), float( i*squareSize ), 0));

        }

}

 static bool runCalibration( Settings& s, Size& imageSize, Mat& cameraMatrix, Mat&   distCoeffs,
                        vector<vector<Point2f> > imagePoints, vector<Mat>& rvecs,   vector<Mat>& tvecs,
                        vector<float>& reprojErrs,  double& totalAvgErr)

 {

cameraMatrix = Mat::eye(3, 3, CV_64F);
 //   if( s.flag & CV_CALIB_FIX_ASPECT_RATIO )
 //      cameraMatrix.at<double>(0,0) = 1.0;

  distCoeffs = Mat::zeros(8, 1, CV_64F);

  vector<vector<Point3f> > objectPoints;
  Mat object_pointBuf = Mat::zeros(s.boardSize.width*s.boardSize.height,3,CV_32FC1);
    vector<Point3f> object_pointBuf_vec;

  calcBoardCornerPositions(s.boardSize, s.squareSize, object_pointBuf_vec);
  for(int k=0;k<imagePoints.size();k++)
  {
    objectPoints.push_back(object_pointBuf_vec);
  }





 // objectPoints.resize(imagePoints.size(),objectPoints[0]);

  //Find intrinsic and extrinsic camera parameters
  double rms = calibrateCamera(objectPoints, imagePoints, imageSize, cameraMatrix,
                             distCoeffs, rvecs, tvecs, /*s.flag|*  /CV_CALIB_FIX_K4|CV_CALIB_FIX_K5);

  cout << "Re-projection error reported by calibrateCamera: "<< rms << endl;

  bool ok = checkRange(cameraMatrix) && checkRange(distCoeffs);

 //   totalAvgErr = computeReprojectionErrors(objectPoints, imagePoints,
                                  //       rvecs, tvecs, cameraMatrix, distCoeffs,   reprojErrs);

  return ok;
}



bool runCalibrationAndSave(Settings& s, Size imageSize, Mat&  cameraMatrix, Mat&     distCoeffs,vector<vector<Point2f> > imagePoints )

{
vector<Mat> rvecs, tvecs;
vector<float> reprojErrs;
double totalAvgErr = 0;

 bool ok = runCalibration(s,imageSize, cameraMatrix, distCoeffs, imagePoints, rvecs,   tvecs,
                         reprojErrs, totalAvgErr);
  cout << (ok ? "Calibration succeeded" : "Calibration failed")
    << ". avg re projection error = "  << totalAvgErr ;


 return ok;
}

我正在使用Visual C ++和Opencv 2.4.9。请帮我弄清问题。这是我第一次提出任何问题，如果我在提问时犯了错误，请告诉我。提前感谢您的帮助。

Answer 1

我发现解决此问题的唯一方法是下载OpenCV源代码，然后使用CMAKE和Visual Studio 2010构建它。现在使用cmake构建的库，消除所有这些问题。还有'imread'和'imshow'相关的问题;当您从CMAKE构建openCV库时，这些问题也不会出现。有关如何从CMAKE构建库，请检查此链接 http://docs.opencv.org/doc/tutorials/introduction/windows_install/windows_install.html 我希望它会有所帮助。

Answer 2

我刚遇到类似的问题，即使所有内容看起来都是OK输入，计数匹配等，同样的校准代码在使用MSVC 2013的calibrateCamera内崩溃，当我跳过异常时图像确实进行了校准。

在我的情况下问题是我使用的OpenCV编译库被编译为共享/ DLL并且我的应用程序在静态库模式下使用它，因此更改为多线程调试DLL与MSVC中的多线程调试修复它（/ MTd vs / MDd）。或者替换为OpenCV的静态版本。

OpenCV calibrateCamera（）断言失败

2 个答案: