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Related Topics in Shape Analysis of Curves

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Functional and Shape Data Analysis

Part of the book series: Springer Series in Statistics ((SSS))

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Abstract

Previously we have developed theory and computational solutions for shape analysis associated with curves in Euclidean spaces. We end this textbook by presenting some related topics that fall outside the main framework. These miscellaneous topics do not fit an organized theme but are bunched together in this chapter for convenience. They include: (1) Investigate the use of shape in conjunction with other features, such as scale, pose, and position, to characterize curves. (2) Extend the group of shape-invariant transformations, from the similarity group to the affine group, in the case of planar closed curves. While most shape analysis works consider similarity transformations (rigid motions and global scales) as the main shape-preserving transformations, some applications, including imaging, may require us to nullify affine distortions of curves. (3) Develop techniques for analyzing trajectories on nonlinear Riemannian manifolds. While we have studied only the Euclidean curves so far, there is also a strong need for analyzing curves on other, perhaps nonlinear, domains. One may not use the word shape for characterizing the desired properties of these curves, but this analysis should beĀ invariant at least to parameterizations of these trajectories.

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References

  1. B.Ā Ben Amor, J.Ā Su, A.Ā Srivastava, Action recognition using rate-invariant analysis of skeletal shape trajectories. IEEE Trans. Pattern Anal. Mach. Intell. 38 (1), 1ā€“13 (2016)

    Google ScholarĀ 

  2. D.Ā Bryner, E.Ā Klassen, H.Ā Le, A.Ā Srivastava, 2d affine and projective shape analysis. IEEE Trans. Pattern Anal. Mach. Intell. 36 (5), 998ā€“1011 (2014)

    Google ScholarĀ 

  3. P.E. Jupp, J.T. Kent, Fitting smooth paths to spherical data. J. R. Stat. Soc. Ser. C (Appl. Stat.) 36 (1), 34ā€“46 (1987)

    Google ScholarĀ 

  4. J.Ā Kent, K.Ā Mardia, Procrustes methods for projective shape. Syst. Biol. Stat. Bioinf. 37ā€“40 (2007)

    Google ScholarĀ 

  5. J.Ā Kent, K.Ā Mardia, A geometric approach to projective shape and the cross ratio. Biometrika 99 (4), 833ā€“849 (2012)

    Google ScholarĀ 

  6. S.Ā Kurtek, A.Ā Srivastava, E.Ā Klassen, Z.Ā Ding, Statistical modeling of curves using shapes and related features. J.Ā Am. Stat. Assoc. 107 (499), 1152ā€“1165 (2012)

    Google ScholarĀ 

  7. M.Ā Mani, S.Ā Kurtek, A.Ā Srivastava, C.Ā Barillot, A comprehensive riemannian framework for analysis of white matter fiber tracts. In: Proc. of International Symposium on Biomedical Imaging (ISBI), 2010

    Google ScholarĀ 

  8. K.Ā Mardia, J.Ā Kent, A new representation for projective shape. In: Proceedings in Interdisciplinary Statistics and Bioinformatics, pp.Ā 75ā€“78 (2006)

    Google ScholarĀ 

  9. J.C. Owen, F.R. Moore, Swainsonā€™s thrushes in migratory disposition exhibit reduced immune function. J. Ethol. 26, 383ā€“388 (2008)

    ArticleĀ  Google ScholarĀ 

  10. J.Ā Su, I.L. Dryden, E.Ā Klassen, H.Ā Le, A.Ā Srivastava, Fitting optimal curves to time-indexed, noisy observations on nonlinear manifolds. J. Image Vis. Comput. 30 (6ā€“7), 428ā€“442 (2012)

    Google ScholarĀ 

  11. J.Ā Su, S.Ā Kurtek, E.Ā Klassen, A.Ā Srivastava, Statistical analysis of trajectories on riemannian manifolds: Bird migration, hurricane tracking, and video surveillance. Ann. Appl. Stat. 8 (1), 530ā€“552 (2014)

    Google ScholarĀ 

  12. A.Ā Veeraraghavan, A.Ā Srivastava, A.K. Roy-Chowdhury, R.Ā Chellappa, Rate-invariant recognition of humans and their activities. IEEE Trans. Image Process. 8 (6), 1326ā€“1339 (2009)

    Google ScholarĀ 

  13. Z.Ā Zhang, J.Ā Su, E.Ā Klassen, H.Ā Le, A.Ā Srivastava, Video-based action recognition using rate-invariant analysis of covariancetrajectories. arXiv, arXiv:1503.06699 (2015)

    Google ScholarĀ 

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Srivastava, A., Klassen, E.P. (2016). Related Topics in Shape Analysis of Curves. In: Functional and Shape Data Analysis. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-4020-2_11

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