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DWKS : A Local Descriptor of Deformations Between Meshes and Point Clouds

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Abstract

We propose a novel pointwise descriptor, called DWKS, aimed at finding correspondences across two deformable shape collections. Unlike the majority of existing descriptors, rather than capturing local geometry, DWKS captures the deformation around a point within a collection in a multi-scale and informative manner. This, in turn, allows to compute inter-collection correspondences without using landmarks. To this end, we build upon the successful spectral WKS descriptors, but rather than using the Laplace-Beltrami operator, show that a similar construction can be performed on shape difference operators, that capture differences or distortion within a collection. By leveraging the collection information our descriptor facilitates difficult non-rigid shape matching tasks, even in the presence of strong partiality and significant deformations. We demonstrate the utility of our approach across a range of challenging matching problems on both meshes and point clouds. The code for this paper can be found at https://github.com/RobinMagnet/DWKS
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hal-03607804 , version 1 (14-03-2022)

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Robin Magnet, Maks Ovsjanikov. DWKS : A Local Descriptor of Deformations Between Meshes and Point Clouds. 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Oct 2021, Montreal, Canada. pp.3773-3782, ⟨10.1109/ICCV48922.2021.00377⟩. ⟨hal-03607804⟩
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