Abstract
A family of shape curves is introduced that is useful for modelling the changes in shape in a series of geometrical objects. The relationship between the preshape sphere and the shape space is used to define a general family of curves based on horizontal geodesics on the preshape sphere. Methods for fitting geodesics and more general curves in the non-Euclidean shape space of point sets are discussed, based on minimizing sums of squares of Procrustes distances. Likelihood-based inference is considered. We illustrate the ideas by carrying out statistical analysis of two-dimensional landmarks on rats' skulls at various times in their development and three-dimensional landmarks on lumbar vertebrae from three primate species.
Original language | English |
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Pages (from-to) | 567-584 |
Number of pages | 18 |
Journal | Biometrika |
Volume | 97 |
Issue number | 3 |
DOIs | |
Publication status | Published - Sept 2010 |
Keywords
- Complex Watson distribution
- Curve fitting
- Geodesic
- Growth
- Landmark
- Likelihood
- Non-Euclidean space
- Polynomial
- Shape
- Size