Topology-invariant similarity of nonrigid shapes
From MaRDI portal
Publication:847482
DOI10.1007/s11263-008-0172-2zbMath1477.68333OpenAlexW2090320629MaRDI QIDQ847482
Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein
Publication date: 16 February 2010
Published in: International Journal of Computer Vision (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11263-008-0172-2
isometryGromov-Hausdorff distanceiterative closest pointshape similaritygeneralized MDSGMDStopological noise
Computer graphics; computational geometry (digital and algorithmic aspects) (68U05) Machine vision and scene understanding (68T45)
Related Items (4)
Smooth interpolation of key frames in a Riemannian shell space ⋮ A Gromov-Hausdorff framework with diffusion geometry for topologically-robust non-rigid shape matching ⋮ The ultrametric Gromov-Wasserstein distance ⋮ Gromov-Wasserstein distances and the metric approach to object matching
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Analysis of two-dimensional non-rigid shapes
- Clustering to minimize the maximum intercluster distance
- Modern multidimensional scaling: theory and applications
- The geometry of graphs and some of its algorithmic applications
- A theoretical and computational framework for isometry invariant recognition of point cloud data
- Approximation of convex sets by polytopes
- Geometric and Photometric Data Fusion in Non-Rigid Shape Analysis
- Numerical Geometry of Non-Rigid Shapes
- Shape distributions
- Efficient Computation of Isometry‐Invariant Distances Between Surfaces
- Multigrid multidimensional scaling
- A Best Possible Heuristic for the k-Center Problem
- Computing geodesic paths on manifolds
- One cannot hear the shape of a drum
- A new point matching algorithm for non-rigid registration
- A Panoramic View of Riemannian Geometry
- Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment
- Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
- Generalized multidimensional scaling: A framework for isometry-invariant partial surface matching
- Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data
- Can One Hear the Shape of a Drum?
This page was built for publication: Topology-invariant similarity of nonrigid shapes