FindHomography (OpenCV) uses a robust estimator, RANSAC, for finding the prespective transformation between two planes.
On the other hand, fcvGeomHomographyFit32 assums that we have a set of correspondences where the only source of error is in the measurement of the point's position. Sometimes, this assumption is not valid because points are mismatched (outliers) and we don't know it in advance!
These outliers can severely disturb estimated homography, and consequently should be identified.
A robust estimator is an estimator which is robust to outliers.
As far as I understand, fcvGeomHomographyFit32 is not a robust estimator since it requires points correspondences. And if so, my question is whether FastCV has any other function which finds the homography based on 2 sets of unsorted "good features to track"?