Title
A Hyperelastic Two-Scale Optimization Model for Shape Matching
Abstract
We suggest a novel shape matching algorithm for three-dimensional surface meshes of disk or sphere topology. The method is based on the physical theory of nonlinear elasticity and can hence handle large rotations and deformations. Deformation boundary conditions that supplement the underlying equations are usually unknown. Given an initial guess, these are optimized such that the mechanical boundary forces that are responsible for the deformation are of a simple nature. We show a heuristic way to approximate the nonlinear optimization problem by a sequence of convex problems using finite elements. The deformation cost, i.e, the forces, is measured on a coarse scale while ICP-like matching is done on the fine scale. We demonstrate the plausibility of our algorithm on examples taken from different datasets.
Year
DOI
Venue
2015
10.1137/15M1048562
SIAM JOURNAL ON SCIENTIFIC COMPUTING
Keywords
Field
DocType
shape matching,elasticity theory,finite elements,correspondences
Boundary value problem,Combinatorics,Heuristic,Polygon mesh,Hyperelastic material,Regular polygon,Finite element method,Deformation (mechanics),Mathematics,Blossom algorithm
Journal
Volume
Issue
ISSN
39
1
1064-8275
Citations 
PageRank 
References 
0
0.34
6
Authors
4
Name
Order
Citations
PageRank
Konrad Simon121.04
Sheorey, Sameer2926.84
David W. Jacobs34599348.03
Ronen Basri43467403.18