Mathematical aspects of classical and celestial mechanics (2nd ed.)
Mathematical aspects of classical and celestial mechanics (2nd ed.)
Geodesic Shooting for Computational Anatomy
Journal of Mathematical Imaging and Vision
Shape modeling and analysis with entropy-based particle systems
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Population Shape Regression from Random Design Data
International Journal of Computer Vision
Geodesic regression for image time-series
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Statistical Computations on Grassmann and Stiefel Manifolds for Image and Video-Based Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging
A Gradient-Descent Method for Curve Fitting on Riemannian Manifolds
Foundations of Computational Mathematics
Fitting smoothing splines to time-indexed, noisy points on nonlinear manifolds
Image and Vision Computing
Geodesic Regression and the Theory of Least Squares on Riemannian Manifolds
International Journal of Computer Vision
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In this paper we develop the theory of parametric polynomial regression in Riemannian manifolds. The theory enables parametric analysis in a wide range of applications, including rigid and non-rigid kinematics as well as shape change of organs due to growth and aging. We show application of Riemannian polynomial regression to shape analysis in Kendall shape space. Results are presented, showing the power of polynomial regression on the classic rat skull growth data of Bookstein and the analysis of the shape changes associated with aging of the corpus callosum from the OASIS Alzheimer's study.