Riemannian Locally Linear Embedding with Application to Kendall Shape Spaces
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-38271-0_2
Reference8 articles.
1. Fletcher, P.T., Lu, C., Pizer, S.M., Joshi, S.: Principal geodesic analysis for the study of nonlinear statistics of shape. IEEE Trans. Med. Imaging 23(8), 995–1005 (2004)
2. Lecture Notes in Computer Science;N Guigui,2021
3. Kendall, D.G.: Shape manifolds, procrustean metrics, and complex projective spaces. Bull. Lond. Math. Soc. 16(2), 81–121 (1984)
4. Kim, K.R., Dryden, I.L., Le, H., Severn, K.E.: Smoothing splines on Riemannian manifolds, with applications to 3D shape space. J. Roy. Stat. Soc. Ser. B (Stat. Methodol.) 83(1), 108–132 (2021)
5. Lahiri, S., Robinson, D., Klassen, E.: Precise matching of PL curves in $$\mathbb{R} ^{N}$$ in the square root velocity framework. arXiv preprint arXiv:1501.00577 (2015)
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