# FAKIR: An algorithm for revealing the anatomy and pose of statues from raw point sets

## TL;DR

FAKIR is an efficient algorithm that registers a flexible articulated model to 3D point data of statues, enabling detailed pose and anatomy detection even with non-realistic proportions, aiding cultural heritage analysis.

## Contribution

The paper introduces FAKIR, a novel iterative registration method for revealing pose and anatomy of statues from raw point clouds, adaptable to various creature types.

## Key findings

- Fast convergence with few iterations
- Effective detection of pose and anatomy
- Applicable to animals and imaginary creatures

## Abstract

3D acquisition of archaeological artefacts has become an essential part of cultural heritage research for preservation or restoration purpose. Statues, in particular, have been at the center of many projects. In this paper, we introduce a way to improve the understanding of acquired statues representing real or imaginary creatures by registering a simple and pliable articulated model to the raw point set data. Our approach performs a Forward And bacKward Iterative Registration (FAKIR) which proceeds joint by joint, needing only a few iterations to converge. We are thus able to detect the pose and elementary anatomy of sculptures, with possibly non realistic body proportions. By adapting our simple skeleton, our method can work on animals and imaginary creatures.