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依赖Opencv的投影矩阵分解得到K R T分量

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  • 开发语言:Others
  • 实例大小:1.78KB
  • 下载次数:1
  • 浏览次数:415
  • 发布时间:2020-07-31
  • 实例类别:一般编程问题
  • 发 布 人:robot666
  • 文件格式:.rar
  • 所需积分:2
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实例介绍

【实例简介】基于Opencv库的投影矩阵P分解成K R T三分量,即内参K,外参R T。
【实例截图】用Matlab仿真的真实图像实验的投影矩阵

【核心代码】

void HOUSEHOLDER_MULT(CvMat* A, CvMat* V);
void HOUSEHOLDER(CvMat* A, CvMat* V);
void Q_HOUSE(CvMat* A, CvMat* Q);
void KRT_From_P_QR(CvMat* P, CvMat* K, CvMat* R, CvMat* T);
void qrHouse(CvMat* A, CvMat* Q, CvMat* R);
void QR_HOUSE(CvMat* A);

int main()
{
	//用Matlab仿真的真实图像实验的投影矩阵
	double P0[12]={
		1009.984583,305.274308,-1695.377402,-4847.771233,
		-47.769902,-1901.303711,-473.239933,-498.560473,
		-0.698910,0.016966,-0.715008,2.118015
	};


	CvMat* P = cvCreateMat(3,4,CV_32FC1);
	cvInitMatHeader(P,3,4,CV_64FC1,P0);


	CvMat* K = cvCreateMat(3,3,CV_64FC1);
	CvMat* R = cvCreateMat(3,3,CV_64FC1);
	CvMat* T = cvCreateMat(3,1,CV_64FC1);

	KRT_From_P_QR(P,K,R,T);




	//输出求解出的内外参数矩阵
	int i,j;
	cout<<"K:"<<endl;
	for (i = 0; i < 3; i  )
	{
		for (j = 0; j < 3; j  )
		{
			cout<<cvmGet(K,i,j)<<" ";
		}
		cout<<endl;
	}
	cout<<endl;
	cout<<"R:"<<endl;
	for (i = 0; i < 3; i  )
	{
		for (j = 0; j < 3; j  )
		{
			cout<<cvmGet(R,i,j)<<" ";
		}
		cout<<endl;
	}
	cout<<endl;
	cout<<"T:"<<endl;
	for (i = 0; i < 3; i  )
	{
		for (j = 0; j < 1; j  )
		{
			cout<<cvmGet(T,i,j)<<" ";
		}
		cout<<endl;
	}

	cvReleaseMat(&P);
	cvReleaseMat(&K);
	cvReleaseMat(&R);
	cvReleaseMat(&T);
	return 0;
}


////////////////////
void KRT_From_P_QR(CvMat* P, CvMat* K, CvMat* R, CvMat* T)
{
	int i,j;

	//第一步
	CvMat* H = cvCreateMat(3,3,CV_64FC1);
	CvMat* h = cvCreateMat(3,1,CV_64FC1);
	for (i = 0; i < 3; i  )
	{
		for (j = 0; j < 3; j  )
		{
			cvmSet(H,i,j,cvmGet(P,i,j));
		}
		cvmSet(h,i,0,cvmGet(P,i,3));
	}


	//第二步
	CvMat* Hinv = cvCreateMat(3,3,CV_64FC1);
	cvInvert(H,Hinv,CV_SVD);
	CvMat* Qd   = cvCreateMat(H->rows,H->cols,CV_64FC1);
	CvMat* Rd   = cvCreateMat(H->rows,H->rows,CV_64FC1);

	cvReleaseMat(&H);
	qrHouse(Hinv,Qd,Rd);
	cvInvert(Rd,K,CV_SVD);
	cvTranspose(Qd,R);
	cvReleaseMat(&Hinv);
	cvReleaseMat(&Qd);

	//第三步:
	double s1[9] = {-1,0,0,0,1,0,0,0,-1};
	double s2[9] = {-1,0,0,0,-1,0,0,0,1};
	double s3[9] = {1,0,0,0,-1,0,0,0,-1};
	double s4[9] = {1,0,0,0,1,0,0,0,1};

	CvMat* Rn = cvCreateMat(3,3,CV_64FC1);
	CvMat* Kn = cvCreateMat(3,3,CV_64FC1);
	CvMat* S1 = cvCreateMat(3,3,CV_64FC1);
	CvMat* S2 = cvCreateMat(3,3,CV_64FC1);
	CvMat* S3 = cvCreateMat(3,3,CV_64FC1);
	CvMat* S4 = cvCreateMat(3,3,CV_64FC1);
	cvInitMatHeader(S1,3,3,CV_64FC1,s1);
	cvInitMatHeader(S2,3,3,CV_64FC1,s2);
	cvInitMatHeader(S3,3,3,CV_64FC1,s3);
	cvInitMatHeader(S4,3,3,CV_64FC1,s4);

	double a = cvmGet(K,0,0);
	double b = cvmGet(K,1,1);
	double c = cvmGet(K,2,2);

	CvMat* t0 = cvCreateMat(3,3,CV_64FC1);

	if ((a>0 && b<0 && c>0) || (a<0 && b>0 && c<0))
	{
		cvMatMul(K,S1,Kn);
		cvMatMul(S1,R,Rn);
		cvMatMul(S1,Rd,t0);
	}
	else if ((a>0 && b>0 && c<0) || (a<0 && b<0 && c>0))
	{
		cvMatMul(K,S2,Kn);
		cvMatMul(S2,R,Rn);
		cvMatMul(S2,Rd,t0);
	}
	else if ((a>0 && b<0 && c<0) || (a<0 && b>0 && c>0))
	{
		cvMatMul(K,S3,Kn);
		cvMatMul(S3,R,Rn);
		cvMatMul(S2,Rd,t0);
	}
	else if ((a>0 && b>0 && c>0) || (a<0 && b<0 && c<0))
	{
		cvMatMul(K,S4,Kn);
		cvMatMul(S4,R,Rn);
		cvMatMul(S2,Rd,t0);
	}

	cvMatMul(t0,h,T);

	cvReleaseMat(&t0);
	cvReleaseMat(&S1);
	cvReleaseMat(&S2);
	cvReleaseMat(&S3);
	cvReleaseMat(&S4);
	cvReleaseMat(&Rd);
	cvReleaseMat(&h);

	for (i = 0; i < 3; i  )
	{
		for (j = 0; j < 3; j  )
		{
			cvmSet(K,i,j,cvmGet(Kn,i,j)/cvmGet(Kn,2,2));
		}
	}
	cvReleaseMat(&Kn);
	cvCopy(Rn,R);
	cvReleaseMat(&Rn);
}


void qrHouse(CvMat* A, CvMat* Q, CvMat* R)
{
	CvMat* B = cvCreateMat(A->rows, A->cols, CV_64FC1);
	cvCopy(A, B);
	QR_HOUSE(B);

	CvMat* QT = cvCreateMat(Q->cols,Q->rows,CV_64FC1);
	Q_HOUSE(B, QT);

	cvMatMul(QT, A, R);
	cvTranspose(QT, Q);

	cvReleaseMat(&B);
	cvReleaseMat(&QT);
}

void QR_HOUSE(CvMat* A)
{
	int n = A->rows;
	int m = A->cols;
	int i, j;
	int h, g;

	for (int k = 0; k < min(n-1, m); k  )
	{
		CvMat* A0 = cvCreateMat(n-k,1,CV_64FC1);
		CvMat* V = cvCreateMat(n-k,1,CV_64FC1);

		j = 0;
		for (i = k; i < n; i  )
		{
			cvmSet(A0,j,0,cvmGet(A,i,k));
			j  ;
		}

		HOUSEHOLDER(A0, V);
		cvReleaseMat(&A0);

		CvMat* A1 = cvCreateMat(n-k,m-k,CV_64FC1);
		for (i = 0, h = k; i < n-k, h < n; i  , h  )
		{
			for (j = 0, g = k; j < m-k, g < m; j  , g  )
			{
				cvmSet(A1,i,j,cvmGet(A,h,g));
			}
		}
		HOUSEHOLDER_MULT(A1,V);

		for (i = 0, h = k; i < n-k, h < n; i  , h  )
		{
			for (j = 0, g = k; j < m-k, g < m; j  , g  )
			{
				cvmSet(A,h,g,cvmGet(A1,i,j));
			}
		}

		cvReleaseMat(&A1);

		for (i = k 1, j = 1; i < n, j < n-k; i  , j  )
		{
			cvmSet(A,i,k,cvmGet(V,j,0));
		}

		cvReleaseMat(&V);
	}
}

void Q_HOUSE(CvMat* A, CvMat* Q)
{
	int i, j;
	int g, h;
	int n = A->rows;
	cvSetIdentity(Q);

	for (int k = 0; k < n-1; k  )
	{
		CvMat* V = cvCreateMat(n-k,1,CV_64FC1);
		cvSet(V, cvScalarAll(1), NULL);

		for (i = 1, j = k 1; i < n-k, j < n; i  , j  )
		{
			cvmSet(V,i,0,cvmGet(A,j,k));
		}

		CvMat* Qk = cvCreateMat(n,n,CV_64FC1);
		cvSetIdentity(Qk);
		CvMat* II = cvCreateMat(n-k,n-k,CV_64FC1);
		cvSetIdentity(II);
		CvMat* VT = cvCreateMat(V->cols,V->rows,CV_64FC1);
		CvMat* de = cvCreateMat(1,1,CV_64FC1);
		cvTranspose(V,VT);
		cvMatMul(VT,V,de);
		CvMat* QQ = cvCreateMat(n-k,n-k,CV_64FC1);
		cvGEMM(V,VT,-2/cvmGet(de,0,0),II,1,QQ);

		cvReleaseMat(&V);
		cvReleaseMat(&VT);
		cvReleaseMat(&de);
		cvReleaseMat(&II);

		for (i = k, g = 0; i < n, g < QQ->rows; i  , g  )
		{
			for (j = k, h = 0; j < n, h < QQ->cols; j  , h  )
			{
				cvmSet(Qk,i,j,cvmGet(QQ,g,h));
			}
		}
		cvReleaseMat(&QQ);

		CvMat* Q0 = cvCreateMat(n,n,CV_64FC1);
		cvMatMul(Qk,Q,Q0);
		cvCopy(Q0, Q);

		cvReleaseMat(&Qk);
		cvReleaseMat(&Q0);
	}
}
void HOUSEHOLDER(CvMat* A, CvMat* V)
{
	int n = A->rows;
	cvCopy(A, V);

	double beta;
	if (cvmGet(A,0,0) >= 0)
	{
		beta = cvmGet(A,0,0)   cvNorm(A);
	}
	else
	{
		beta = cvmGet(A,0,0) - cvNorm(A);
	}

	cvmSet(V,0,0,1);
	for (int i = 1; i < n; i  )
	{
		cvmSet(V, i, 0, 1/beta*cvmGet(V, i, 0));
	}
}

void HOUSEHOLDER_MULT(CvMat* A, CvMat* V)
{
	int n = V->rows;
	CvMat* beta0 = cvCreateMat(1,1,CV_64FC1);

	cvMulTransposed(V, beta0, 1);

	double beta = -2/cvmGet(beta0,0,0);
	cvReleaseMat(&beta0);

	CvMat* w = cvCreateMat(1, A->cols, CV_64FC1);
	CvMat* VT = cvCreateMat(V->cols, V->rows, CV_64FC1);
	cvTranspose(V, VT);
	cvMatMul(VT,A,w);
	cvReleaseMat(&VT);

	cvGEMM(V,w,beta,A,1,A,0);
	cvReleaseMat(&w);
}

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