- Optimization algorithms reviewed in section 2.2.2.
- Common radial basis functions.
- Properties of the normal distribution.
- Properties of the multivariate normal distribution.
- Parts of this thesis that deal with hyperparameters.
- Advantages and disadvantages of the large and small margins.
- RGE for the experiment of figure 5.23.
- Summary of the notation used in chapter 7.
- Statistics on the relative errors.
- Statistics on the Gaussian curvatures.
- Average 3D error.
- Overview of our Feature-Driven Inverse Compositional Gauss-Newton registration.
- Overview of our Learning-based registration.
- Results for the first T-shirt sequence.
- Results for the paper sequence.
- Results for the rug sequence.
- Results for the second T-shirt sequence.
Contributions to Parametric Image Registration and 3D Surface Reconstruction (Ph.D. dissertation, November 2010) - Florent Brunet
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