在opencv3.3文檔中的Camera Calibration and 3D Reconstruction

bool cv::solvePnP	(	InputArray 	objectPoints,
InputArray 	imagePoints,
InputArray 	cameraMatrix,
InputArray 	distCoeffs,
OutputArray 	rvec,
OutputArray 	tvec,
bool 	useExtrinsicGuess = false,
int 	flags = SOLVEPNP_ITERATIVE 
)	

bool cv::solvePnPRansac	(	InputArray 	objectPoints,
InputArray 	imagePoints,
InputArray 	cameraMatrix,
InputArray 	distCoeffs,
OutputArray 	rvec,
OutputArray 	tvec,
bool 	useExtrinsicGuess = false,
int 	iterationsCount = 100,
float 	reprojectionError = 8.0,
double 	confidence = 0.99,
OutputArray 	inliers = noArray(),
int 	flags = SOLVEPNP_ITERATIVE 
)	

在文檔中，對于objectPoints和imagePoints的類型要求是：

objectPoints: Array of object points in the object coordinate space, Nx3 1-channel or 1xN/Nx1 3-channel, where N is the number of points. vector

如果使用Nx3 1-channel 和Nx2 1-channel作為輸入， 那么編譯會出現以下錯誤

CV_IS_MAT(_src) && CV_IS_MAT(_dst) && (_src->rows == 1 || _src->cols == 1) && (_dst->rows == 1 || _dst->cols == 1) && _src->cols + _src->rows - 1 == _dst->rows + _dst->cols - 1 && (CV_MAT_TYPE(_src->type) == CV_32FC2 || CV_MAT_TYPE(_src->type) == CV_64FC2) && (CV_MAT_TYPE(_dst->type) == CV_32FC2 || CV_MAT_TYPE(_dst->type) == CV_64FC2)

從錯誤中可知：

(_src->rows == 1 || _src->cols == 1) && (_dst->rows == 1 || _dst->cols == 1)

所以需要將數據reshape成多通道的形式：

objectPoints = objectPoints.reshape(4, 1, 3);
imagePoints = imagePoints.reshape(4, 1, 2);

或者使用std::vectorcv::Point2f和std::vectorcv::Point3f等形式作為輸入參數

using namespace std;
using namespace cv;

vector<Point2f> objectPoints = { Point2f(433,50),Point2f(512,109),Point2f(425,109),Point2f(362,106) };
vector<Point3f> imagePoints = { Point3f(0,0,0),Point3f(6.5,0,0),Point3f(0,0,6.5),Point3f(0,6.5,0) };

參考

Camera Calibration and 3D Reconstruction
solvePnP object_points / image_points shape?
[OpenCV Error: Assertion failed in undistort.cpp at line 293 [closed]](

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