当我使用最简单的输入使用下面的java代码运行projectPoints函数时,我得到了我认为不正确的答案。我错过了什么吗?
我得到了这个答案
public static void main(String[] args) {
setDllLibraryPath("C:/aaa_eric/code/lib/x64");
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
MatOfPoint3f objectPts3f = new MatOfPoint3f(
new Point3(0.0,1.0, 1.0),
new Point3(0.0,1.0, 5.0),
new Point3(0.0,1.0,10.0));
MatOfPoint2f imagePts2f = new MatOfPoint2f();
Mat rVec = Mat.zeros(3,1, CvType.CV_64F);
Mat tVec = Mat.zeros(3,1, CvType.CV_64F);
//camera matrix, no distortion
Mat kMat = Mat.zeros(3, 3, CvType.CV_64F);
kMat.put(0, 0,
100.0, 0.0, 0.0,
0.0, 100.0, 0.0,
0.0, 0.0, 1.0);
Mat dMat = Mat.zeros(4, 1, CvType.CV_64F);
//this one is broken
Calib3d.projectPoints(objectPts3f, imagePts2f, rVec, tVec, kMat, dMat);
//this one works
ppWorks(objectPts3f, imagePts2f, rVec, tVec, kMat, dMat);
System.out.println(objectPts3f.toList());
System.out.println(imagePts2f.toList());
}
static void ppWorks(MatOfPoint3f objPt3f,MatOfPoint2f imgPt2f,Mat rVec,Mat tVec,Mat kMat, Mat dMat) {
double[] T = new double[3]; tVec.get(0,0,T);
double[] K = new double[9]; kMat.get(0,0,K);
double[] D = new double[4]; dMat.get(0,0,D);
Mat rMat = Mat.zeros(3,3,CvType.CV_64F);
Calib3d.Rodrigues(rVec, rMat);
double[] R = new double[9]; rMat.get(0,0,R);
Point3[] xf=objPt3f.toArray();
List<Point> y=new ArrayList<>();
for (int i = 0; i < objPt3f.total(); i++) {
Point3 Xi = xf[i];
Point3 Y = new Point3(
R[0]*Xi.x + R[1]*Xi.y + R[2]*Xi.z + T[0]*1.0,
R[3]*Xi.x + R[4]*Xi.y + R[5]*Xi.z + T[1]*1.0,
R[6]*Xi.x + R[7]*Xi.y + R[8]*Xi.z + T[2]*1.0
);
y.add(new Point(K[0]*Y.x/Y.z + K[2], K[4]*Y.y/Y.z + K[5]));
}
imgPt2f.fromList(y);
}
应该是 (u,v)= [{0.0,100.0},{0.0,20.0},{0.0,10.0}]
下面是调用projectPoint的代码,或者是我编写的正常工作的函数(没有相机失真)。
Control.Visible
答案 0 :(得分:1)
也面临相同的问题(Java,OpenCV 3.4.1)。看来问题在于, Calib3d 类为具有相同方法名称的“标准”和鱼眼镜头模型混合了 projectPoints 方法。
您的自定义函数对我有用,然后我简单地尝试了类似的OpenCV方法,但签名不同,并且有效:
// distortion coefficients have to be MatOfDouble in this signature
MatOfDouble dMat = new MatOfDouble(0,0,0,0,0);
// this one works fine
Calib3d.projectPoints(objectPts3f, rVec, tVec, kMat, dMat, imagePts2f, new Mat(), 0);
请注意,看起来OpenCV 4.0.0通过在鱼眼方法名称(javadocs)前面添加前缀来解决了该问题。