Automated landmark extraction is accomplished through the use of the self-organising model the growing neural gas (GNG) network which is able to learn and ...

Oct 22, 2024 · In this study, we utilise a novel approach to automatically recover the shape of hand outlines from a series of 2D training images. Automated ...

This study utilises a novel approach to automatically segment out the ventricular system from a series of MR brain images and to recover the shape of hand ...

The GNG based method is compared to other self-organising networks such as Kohonen and Neural Gas (NG) maps and results are given showing that the proposed ...

A new method for automatically building statistical shape models from a set of training ex amples and in particular from a class of hands. I n this method, ...

In this work, we introduce a new and computationally inexpensive method for the automatic selection of landmarks along the contours of 2D hand shapes. The ...

Recovering the shape of a class of objects requires establishing correct correspondences between manually or automatically annotated landmark points.

Garcia Rodriguez, J., Angelopoulou, A., Psarrou, A. and Revett, K. 2006. Automatically building 2D statistical shapes using the topology preservation model GNG.

This study utilises a novel approach to automatically recover the shape of hand outlines from a series of 2D training images using the self-organising model ...

This is a promising method and has been tested to both synthetic and real data, but the method has not been tested on a large scale for stability and accuracy ...