Diffusion pruning for rapidly and robustly selecting global correspondences using local isometry

DOI10.1145/2517967zbMath1288.68240OpenAlexW2019115117MaRDI QIDQ5419157

Gary K. L. Tam, Ralph R. Martin, Yu-Kun Lai, Paul L. Rosin

Publication date: 5 June 2014

Published in: ACM Transactions on Graphics (Search for Journal in Brave)

Full work available at URL: https://cronfa.swan.ac.uk/Record/cronfa20809/Download/0020809-20042015231422.pdf

zbMATH Keywords

deformationregistrationcorrespondencesarticulation3D geometry

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Computer graphics; computational geometry (digital and algorithmic aspects) (68U05) Geodesics in global differential geometry (53C22) Approximation algorithms (68W25)

Related Items (2)

Non-rigid registration under anisotropic deformations ⋮ Consistent segment-wise matching with multi-layer graphs

Uses Software

• LEMON
• Stanford 3D Scanning Repository
• SCAPE

Cites Work

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• Nonlinear dimensionality reduction by topologically constrained isometric embedding
• A Gromov-Hausdorff framework with diffusion geometry for topologically-robust non-rigid shape matching
• Unsupervised learning for graph matching
• A spectral notion of Gromov-Wasserstein distance and related methods
• Numerical Geometry of Non-Rigid Shapes
• Sparse Models for Intrinsic Shape Correspondence
• Learning part-based templates from large collections of 3D shapes
• Generalized multidimensional scaling: A framework for isometry-invariant partial surface matching

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