Iterative Robust Registration Approach based on Feature Descriptors Correspondence - Application to 3D Faces Description

Wieme Gadacha, Faouzi Ghorbel

2014

Abstract

In this paper, we intend to introduce a fast surface registration process which is independent from the original parameterization of the surface and invariant under 3D rigid transformations. It is based on a feature descriptors correspondence. Such feature descriptors are extracted from the superposition of two surfacic curves: geodesic levels and radial ones from local neighborhoods defined around reference points already picked on the surface. A study of the optimal number of those curves thanks to a generalized version of Shannon theorem is developed. Thus, the obtained discretized parametrisation (ordered descriptors) is the basis of the matching phase that becomes obvious and more robust comparing to the classic ICP algorithm. Experimentations are conducted on facial surfaces from the Bosphorus database to test the registration of both rigid and non-rigid shapes (neutral faces vs. faces with expressions). The Hausdorff distance in shape space is used as an evaluation metric to test the robustness to tessellation. The discriminative power in face description is also estimated.

Paper Citation

in Harvard Style

Gadacha W. and Ghorbel F. (2014). Iterative Robust Registration Approach based on Feature Descriptors Correspondence - Application to 3D Faces Description . In Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-018-5, pages 337-342. DOI: 10.5220/0004922903370342

in Bibtex Style

@conference{icpram14,
author={Wieme Gadacha and Faouzi Ghorbel},
title={Iterative Robust Registration Approach based on Feature Descriptors Correspondence - Application to 3D Faces Description},
booktitle={Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2014},
pages={337-342},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004922903370342},
isbn={978-989-758-018-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Iterative Robust Registration Approach based on Feature Descriptors Correspondence - Application to 3D Faces Description
SN - 978-989-758-018-5
AU - Gadacha W.
AU - Ghorbel F.
PY - 2014
SP - 337
EP - 342
DO - 10.5220/0004922903370342