Skip to main content
. Author manuscript; available in PMC: 2009 Oct 8.
Published in final edited form as: IEEE Trans Med Imaging. 2007 Nov;26(11):1537–1546. doi: 10.1109/TMI.2007.903195

Table I.

Approximation Errors in Various Algorithms

Riem. μ Riem. σ Forb. μ Forb. σ
Euc. Geodesic Appr. 12.2023 10.5576 37.2502 51.8160
Log-Euc Geodesic Appr. 6.5117 7.3565 7.7040 31.4381
Riem. Geodesic Appr. 6.5115 7.3563 7.7037 31.4378
PDE interpolation 8.8490 6.5481 6.3611 29.4992
Non-Robust Tensor Spline 3.8652 2.7202 0.5082 0.8581
Approximation errors using robust function
Robust Euc. Geodesic Appr. 8.6782 0.7521 0.9201 0.1002
Robust Log-Euc Geodesic Appr. 3.8912 2.3191 0.6328 0.928
Robust Riem. Geodesic Appr. 3.4711 2.2534 0.6192 0.795
Robust Tensor Spline Appr. 0.1373 0.0463 0.0015 0.0006
Approximation errors of robust splines using different metrics
Robust Euc. Spline Appr. 7.4655 0.4931 0.0988 0.0927
Robust Log-Euc Spline Appr. 1.4651 0.9996 0.0328 0.0318
Robust Tensor Spline Appr. 0.1373 0.0463 0.0015 0.0006