Abstract
This textbook is dedicated to the study of functional data analysis and shape analysis of curves in Euclidean spaces. In the first item, one develops tools for statistical analysis of real-valued functional data on fixed intervals. While function data analysis is a broad topic area, worthy of a textbook in itself, we will focus heavily on a specific aspect that deals with alignment or registration of functional data. In the second item, one studies shapes formed by curves in 2D, 3D, and higher dimensions, with a goal of performing statistical inferences. Since these curves are also functions, albeit vector valued, and the issue of registration is of prime importance in their shape analysis, we will cover these topics under a broad umbrella of elastic functional and shape data analysis!
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
D.G. Kendall, D. Barden, T.K. Carne, H. Le, Shape and Shape Theory (Wiley, London, 1999)
F. Mokhtarian, S. Abbasi, J. Kittler, Efficient and robust shape retrieval by shape content through curvature scale space. In: Proceedings of First International Conference on Image Database and MultiSearch, 1996
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer-Verlag New York
About this chapter
Cite this chapter
Srivastava, A., Klassen, E.P. (2016). Motivation for Function and Shape Analysis. In: Functional and Shape Data Analysis. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-4020-2_1
Download citation
DOI: https://doi.org/10.1007/978-1-4939-4020-2_1
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4939-4018-9
Online ISBN: 978-1-4939-4020-2
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)
