In the finite-dimensional feature space that landmarks support, each case of a data set is equivalent to a deformation map deriving it from the average form.

Abstract. In many current medical applications of image analysis, objects are detected and delimited by boundary curves or surfaces.

In the finite-dimensional feature space that landmarks support, each case of a data set is equivalent to a deformation map deriving it from the average form.

This paper introduces a new extension of the finite-dimensional spline-based approach for incorporating edge information, and derives explicit formulas for ...

In this implementation, edgels are restricted to landmark loci: they are interpreted as pairs of landmarks at infinitesimal separation in a specific direction.

In this implementation, edgels are restricted to landmark loci: they are interpreted as pairs of landmarks at infinitesimal separation in a specific direction.

In this implementation, edgels are restricted to landmark loci: they are interpreted as pairs of landmarks at infinitesimal separation in a specific direction.

W. D. K. Green, "A Feature Space for Edgels in Im- ages with Landmarks," J. Mathematical Imaging Vis. 3:231-261, 1993, and "A thin-plate spline for deforma ...

The spline also links the biometrics of landmarks to deformation analysis of curves in the images from which the landmarks originally arose. This article ...