To develop statistical models for shapes, we utilize an elastic string representation where curves (denoting shapes) can bend and locally stretch (or ...

Oct 22, 2024 · To develop statistical models for shapes, we utilize an elastic string representation where curves (denoting shapes) can bend and locally ...

To develop statistical models for shapes, we utilize an elas- tic string representation where curves (denoting shapes) can bend and locally stretch (or compress) ...

This work investigates the use of principal components for dimension reduction, termed tangent PCA or TPCA, and study Gaussian, mixture ofGaussian, ...

Abstract. To develop statistical models for shapes, we utilize an elas- tic string representation where curves (denoting shapes) can bend and.

To develop statistical models for shapes, we utilize an elastic string representation where curves (denoting shapes) can bend and locally stretch (or ...

Shapes are modeled on elastic strings that can be bent, stretched or compressed at different rates along the curve. Shapes are treated as elements of a space ...

We develop a new framework for the quantitative analysis of shapes of planar curves. Shapes are modeled on elastic strings that can be bent, stretched or ...

We develop statistical models for capturing variability under the elastic-string representation. The basic idea is to project observed shapes onto the tangent ...

We develop a new framework for the quantitative analysis of shapes of planar curves. Shapes are modeled on elastic strings that can be bent, stretched or ...