Statistical shape analysis : with applications in R / Ian L. Dryden and Kanti V. Mardia.
Material type:
TextSeries: Wiley series in probability and statisticsPublication details: Chichester : John Wiley & Sons, ©2016.Edition: 2nd edDescription: xxiii, 454 pages : illustrations (some color) 24 cmISBN: - 9780470699621
- 514.24 23 D799
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 514.24 D799 (Browse shelf(Opens below)) | Available | 137748 |
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| No cover image available | No cover image available | |||||||
| 514.24 D257 Statistical models of shape | 514.24 D351 Shapes and geometries | 514.24 D799 Statistical shape analysis | 514.24 D799 Statistical shape analysis : with applications in R / | 514.24 D993 Homotopy theoretic methods in group cohomology | 514.24 D994 Shape theory | 514.24 E48 Rings, modules and algebras in stable homotopy theory |
Includes bibliographical references and index.
1. Introduction --
2. Size measures and shape coordinates --
3. Manifolds, shape and size-and-shape --
4. Shape space --
5. Size-and-shape space --
6. Manifold means --
7. Procrustes analysis --
8. 2D Procrusts analysis using complex arithmetic --
9. Tangent space inference --
10. Shape and size-and-shape distributions --
11. Offset normal shape distributions --
12. Deformations for size and shape change --
13. Non-parametric inference and regression --
14. Unlabelled size-and-shape and shape analysis --
15. Euclidean methods --
16. Curves, surfaces and volumes --
17. Shape in images --
18. Object data and manifolds --
Exercises --
Appendix.
A thoroughly revised and updated edition of this introduction to modern statistical methods for shape analysis Shape analysis is an important tool in the many disciplines where objects are compared using geometrical features.
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