I know of findHomography(), but that computes all kinds of perspective transformations.
I'd like to restrict the degrees of freedom to translation, rotation and scale.
There is a method estimateRigidTransform in the video module, but it's not RANSAC based.
Am I missing something?
Or do I have to implement it on my own?
I solved this problem by first finding a homography and then estimating the rigid transform using only the homography's inlier matches.
Afaik this doesn't exist, so you need to implement it on your own.
Yes it does :
# Compute a rigid transformation (without depth, only scale + rotation + translation)
transformation_rigid_matrix, rigid_mask = cv2.estimateAffinePartial2D(src_pts, dst_pts)
It is RANSAC based, as you can see there : https://docs.opencv.org/4.0.0/d9/d0c/...
estimateAffinePartial2D (
InputArray from,
InputArray to,
OutputArray inliers = noArray(),
int method = RANSAC,
double ransacReprojThreshold = 3,
size_t maxIters = 2000,
double confidence = 0.99,
size_t refineIters = 10
)
How to get the scale factor from Mx,i = cv2.estimateAffinePartial2D(src_pts, dst_pts)? scale = np.sqrt((Mx[0,1] * Mx[0,1]) + (Mx[0,0] * Mx[0,0])) right?
Asked: 2013-01-31 09:56:23 -0600
Seen: 9,378 times
Last updated: May 10 '19