Rigid Motion Invariant Statistical Shape Modeling based on Discrete Fundamental Forms

Felix Ambellan, Stefan Zachow, Christoph von Tycowicz

We present a novel approach for nonlinear statistical shape modeling that is invariant under Euclidean motion and thus alignment-free. By analyzing metric distortion and curvature…