Coulomb shapes: Using electrostatic forces for deformation-invariant shape representation

Davide Boscaini, Ramunas Girdziušas, Michael M. Bronstein

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Canonical shape analysis is a popular method in deformable shape matching, trying to bring the shape into a canonical form that undoes its non-rigid deformations, thus reducing the problem of non-rigid matching into a rigid one. The canonization can be performed by measuring geodesic distances between all pairs of points on the shape and embedding them into a Euclidean space by means of multidimensional scaling (MDS), which reduces the intrinsic isometries of the shape into the extrinsic (Euclidean) isometries of the embedding space. A notable drawback of MDS-based canonical forms is their sensitivity to topological noise: different shape connectivity can affect dramatically the geodesic distances, resulting in a global distortion of the canonical form. In this paper, we propose a different shape canonization approach based on a physical model of electrostatic repulsion. We minimize the Coulomb energy subject to the local distance constraints between adjacent shape vertices. Our model naturally handles topological noise, allowing to 'tear' the shape at points of strong repulsion. Furthermore, the problem is computationally efficient, as it lends itself to fast multipole methods. We show experimental results in which our method compares favorably to MDS-based canonical forms.

Original languageEnglish
Title of host publication7th Eurographics Workshop on 3D Object Retrieval, 3DOR 2014
EditorsRemco Veltkamp, Hedi Tabia, Benjamin Bustos, Jean-Philippe Vandeborre
PublisherEurographics Association
ISBN (Electronic)9783905674583
DOIs
StatePublished - 2014
Externally publishedYes
Event7th Eurographics Workshop on 3D Object Retrieval, 3DOR 2014 - Strasbourg, France
Duration: 6 Apr 2014 → …

Publication series

NameEurographics Workshop on 3D Object Retrieval, EG 3DOR
ISSN (Print)1997-0463
ISSN (Electronic)1997-0471

Conference

Conference7th Eurographics Workshop on 3D Object Retrieval, 3DOR 2014
Country/TerritoryFrance
CityStrasbourg
Period6/04/14 → …

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