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

  • École Polytechnique

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5 Citations (Scopus)

Résumé

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.

langue originaleAnglais
titreProceedings - 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021
EditeurInstitute of Electrical and Electronics Engineers Inc.
Pages3773-3782
Nombre de pages10
ISBN (Electronique)9781665428125
Les DOIs
étatPublié - 1 janv. 2021
Modification externeOui
Evénement18th IEEE/CVF International Conference on Computer Vision, ICCV 2021 - Virtual, Online, Canada
Durée: 11 oct. 202117 oct. 2021

Série de publications

NomProceedings of the IEEE International Conference on Computer Vision
ISSN (imprimé)1550-5499

Une conférence

Une conférence18th IEEE/CVF International Conference on Computer Vision, ICCV 2021
Pays/TerritoireCanada
La villeVirtual, Online
période11/10/2117/10/21

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