The example in the link below is using findHomography
to get the transformation between two sets of points. I want to limit the degrees of freedom used in the transformation so want to replace findHomography
with estimateRigidTransform
.
Below I use estimateRigidTransform
to get the transformation between the object and scene points. objPoints
and scePoints
are represented by vector <Point2f>
.
Mat H = estimateRigidTransform(objPoints, scePoints, false);
Following the method used in the tutorial above, I want to transform the corner values using the transformation H
. The tutorial uses perspectiveTransform
with the 3x3 matrix returned by findHomography
. With the rigid transform it only returns a 2x3 Matrix so this method cannot be used.
How would I transform the values of the corners, represented as vector <Point2f>
with this 2x3 Matrix. I am just looking to perform the same functions as the tutorial but with less degrees of freedom for the transformation. I have looked at other methods such as warpAffine
and getPerspectiveTransform
as well, but so far not found a solution.
EDIT:
I have tried the suggestion from David Nilosek. Below I am adding the extra row to the matrix.
Mat row = (Mat_<double>(1,3) << 0, 0, 1);
H.push_back(row);
However this gives this error when using perspectiveTransform.
OpenCV Error: Assertion failed (mtype == type0 || (CV_MAT_CN(mtype) == CV_MAT_CN(type0) && ((1 << type0) & fixedDepthMask) != 0)) in create, file /Users/cgray/Downloads/opencv-2.4.6/modules/core/src/matrix.cpp, line 1486
libc++abi.dylib: terminating with uncaught exception of type cv::Exception: /Users/cgray/Downloads/opencv-2.4.6/modules/core/src/matrix.cpp:1486: error: (-215) mtype == type0 || (CV_MAT_CN(mtype) == CV_MAT_CN(type0) && ((1 << type0) & fixedDepthMask) != 0) in function create
ChronoTrigger suggested using warpAffine
. I am calling the warpAffine
method below, the size of 1 x 5 is the size of objCorners
and sceCorners
.
warpAffine(objCorners, sceCorners, H, Size(1,4));
This gives the error below, which suggests the wrong type. objCorners
and sceCorners
are vector <Point2f>
representing the 4 corners. I thought warpAffine
would accept Mat
images which may explain the error.
OpenCV Error: Assertion failed ((M0.type() == CV_32F || M0.type() == CV_64F) && M0.rows == 2 && M0.cols == 3) in warpAffine, file /Users/cgray/Downloads/opencv-2.4.6/modules/imgproc/src/imgwarp.cpp, line 3280
The affine transformations (the result of cv::estimateRigidTransform
) are applied to the image with the function cv::warpAffine
.