Fig. 2.

Shape variations generated from the statistical shape models and the conditional Gaussian model. (a) First three eigenmodes of the shape variations of SSM^H. Each column shows the variation of one eigenmode, varying between $3\sqrt{{\lambda }_i^{\mathbf{H}}}$ (top) and $-3\sqrt{{\lambda }_i^{\mathbf{H}}}$ (bottom). (b) First three eigenmodes of the shape variations of SSM^L, displayed in the same way of (a). (c) First three eigenmodes of the shape variations of SSM^H coupled with the correlated variations of SSM^L estimated using the conditional Gaussian model.