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We present Basis Restricted Elastic Shape Analysis (BaRe-ESA), a novelRiemannian framework for human body scan representation, interpolation andextrapolation. BaRe-ESA operates directly on unregistered meshes, i.e., withoutthe need to establish prior point to point correspondences or to assume aconsistent mesh structure. Our method relies on a latent space representation,which is equipped with a Riemannian (non-Euclidean) metric associated to aninvariant higher-order metric on the space of surfaces. Experimental results onthe FAUST and DFAUST datasets show that BaRe-ESA brings significantimprovements with respect to previous solutions in terms of shape registration,interpolation and extrapolation. The efficiency and strength of our model isfurther demonstrated in applications such as motion transfer and randomgeneration of body shape and pose.

BaRe-ESA: A Riemannian Framework for Unregistered Human Body Shapes