372 citations · 641 across the 71 of their papers we have counts for
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cs.GR2017
Robust Structure-based Shape Correspondence
Yanir Kleiman, Maks Ovsjanikov
We present a robust method to find region-level correspondences between shapes, which are invariant to changes in geometry and applicable across multiple shape representations. We…
cs.CG2017★ 372 cited
PCPNET: Learning Local Shape Properties from Raw Point Clouds
Paul Guerrero, Yanir Kleiman, Maks Ovsjanikov +1
In this paper, we propose PCPNet, a deep-learning based approach for estimating local 3D shape properties in point clouds. In contrast to the majority of prior techniques that conc…
cs.GR2017
Functional Characterization of Deformation Fields
Etienne Corman, Maks Ovsjanikov
In this paper we present a novel representation for deformation fields of 3D shapes, by considering the induced changes in the underlying metric. In particular, our approach allows…