本文介绍了findChessboardCorners 校准图像失败的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
我正在尝试让 OpenCV 2.4.5 识别来自我的网络摄像头的棋盘格图案.我无法让它工作，所以我决定尝试使用完美"的图像来让它工作:
I am trying to get OpenCV 2.4.5 to recognize a checkerboard pattern from my webcam. I couldn't get that working, so I decided to try to get it working just using a "perfect" image:
但它仍然无法正常工作——patternFound 每次都返回 false.有谁知道我做错了什么?
but it still won't work--patternFound returns false every time. Does anyone have any idea what I'm doing wrong?
#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;
int main(){
Size patternsize(8,8); //number of centers
Mat frame = imread("perfect.png"); //source image
vector<Point2f> centers; //this will be filled by the detected centers
bool patternfound = findChessboardCorners(frame,patternsize,centers);
cout<<patternfound<<endl;
drawChessboardCorners(frame, patternsize, Mat(centers), patternfound);
cvNamedWindow("window");
while(1){
imshow("window",frame);
cvWaitKey(33);
}
}
推荐答案
通过反复试验，我意识到patternsize应该是7x7，因为它是计算内角的.此参数必须准确--8x8 不起作用，但任何小于 7x7 的参数都不会.
Through trial and error, I realized that patternsize should be 7x7 since it is counting internal corners. This parameter has to be exact--8x8 won't work, but neither will anything less than 7x7.
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