# Mod\`ele g\'eom\'etrique pour une Caract\'erisation morphom\'etrique d'individus dans des conditions \textit{in situ}

## TL;DR

This paper introduces a non-invasive geometric model that reconstructs and characterizes individual morphometric features using dual orthogonal images and cylindrical coordinate interpolation.

## Contribution

It presents a novel method for morphometric analysis based on modeling individuals as polyarticulated chains with image-based reconstruction.

## Key findings

- Accurate morphometric data can be obtained non-invasively.
- The method effectively reconstructs segment borders using cylindrical coordinates.
- The approach enables detailed morphometric characterization in situ.

## Abstract

We develop a non invasive method for determine morphometric caracteristic of individuals. We modelize a individual by a polyarticulated chain of rigid segments and each of these segments corresponds to a volume. For this, each segment is photographed under two orthogonal plans and each image is digitalized. By assuming that the border of each segment can be described under cylindric coordinates, the border is reconstructed by interpolation. Finally, the principal morphometric data are determined.