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Partial Functional Correspondence

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arxiv 1506.05274 v2 pith:PGJTWQ66 submitted 2015-06-17 cs.CV

classification cs.CV
keywords correspondencefunctionalpartspartialanalysisapproachchallengingchanges
verification ladder T0 review T1 audit T2 compute T3 formal
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In this paper, we propose a method for computing partial functional correspondence between non-rigid shapes. We use perturbation analysis to show how removal of shape parts changes the Laplace-Beltrami eigenfunctions, and exploit it as a prior on the spectral representation of the correspondence. Corresponding parts are optimization variables in our problem and are used to weight the functional correspondence; we are looking for the largest and most regular (in the Mumford-Shah sense) parts that minimize correspondence distortion. We show that our approach can cope with very challenging correspondence settings.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. MDND: Unsupervised Learning Guided by Non-Differentiable Refinement for Shape Correspondence

    cs.CV 2026-07 conditional novelty 5.0 of 10

    MDND learns unsupervised shape correspondences by using a non-differentiable hybrid-basis wavelet refiner (HWF) as a fixed target for a differentiable feature network.

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