  We present Basis Restricted Elastic Shape Analysis (BaRe-ESA), a novel
Riemannian framework for human body scan representation, interpolation and
extrapolation. BaRe-ESA operates directly on unregistered meshes, i.e., without
the need to establish prior point to point correspondences or to assume a
consistent mesh structure. Our method relies on a latent space representation,
which is equipped with a Riemannian (non-Euclidean) metric associated to an
invariant higher-order metric on the space of surfaces. Experimental results on
the FAUST and DFAUST datasets show that BaRe-ESA brings significant
improvements with respect to previous solutions in terms of shape registration,
interpolation and extrapolation. The efficiency and strength of our model is
further demonstrated in applications such as motion transfer and random
generation of body shape and pose.
