Input tree. (Mean of the local prior)
Training tree.
Sample from the locality prior only:
Samples from full prior (including epipolar constraints)
Notice how all corresponding points lie on the same epipolar line.
The plot of eigenvalues of the prior covariance matrix suggest a very low-dimensional embedding:
Plotting log-sqrt eigenvalues compresses the dynamic range, making it easier to read:
Posted by Kyle Simek