Evaluation and prediction of polygon approximations of planar contours for shape analysis
From MaRDI portal
Publication:5035731
DOI10.1080/02664763.2017.1364716OpenAlexW2614619703MaRDI QIDQ5035731
Leif Ellingson, Chalani Prematilake
Publication date: 22 February 2022
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1705.05496
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Cites Work
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- Nonparametric two-sample tests on homogeneous Riemannian manifolds, Cholesky decompositions and diffusion tensor image analysis
- Nonparametric estimation of means on Hilbert manifolds and extrinsic analysis of mean shapes of contours
- Statistics on manifolds and landmarks based image analysis: a nonparametric theory with applications
- Nonparametric inference for extrinsic means on size-and-(reflection)-shape manifolds with applications in medical imaging
- On shape of plane elastic curves
- A metric on shape space with explicit geodesics
- Multi-aspect permutation tests in shape analysis with small sample size
- Statistical analysis on manifolds: a nonparametric approach for inference on shape spaces
- Bootstrap confidence regions for the planar mean shape
- Pattern analysis. Lectures in pattern theory. Vol. II
- Mean location and sample mean location on manifolds: Asymptotics, tests, confidence regions
- Large sample theory of intrinsic and extrinsic sample means on manifolds. I
- The statistical theory of shape
- On the meaning of mean shape: manifold stability, locus and the two sample test
- Functional data analysis.
- Riemannian geometries on spaces of plane curves
- Large sample theory of intrinsic and extrinsic sample means on manifolds. II.
- Analysis of principal nested spheres
- A multi-dimensional scaling approach to shape analysis
- Shape Manifolds, Procrustean Metrics, and Complex Projective Spaces
- Computable Elastic Distances Between Shapes
- Statistical Modeling of Curves Using Shapes and Related Features
- Interpolations with elasticae in Euclidean spaces
- Nonparametric Inference on Manifolds
- Principal component analysis for Riemannian manifolds, with an application to triangular shape spaces
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