3-D Shape Matching for Face Analysis and Recognition

Wei Quan, Bogdan Matuszewski, Lik-Kwan Shark

2015

Abstract

The aims of this paper are to introduce a 3-D shape matching scheme for automatic face recognition and to demonstrate its invariance to pose and facial expressions. The core of this scheme lies on the combination of non-rigid deformation registration and statistical shape modelling. While the former matches 3-D faces regardless of facial expression variations, the latter provides a low-dimensional feature vector that describes the deformation after the shape matching process, thereby enabling robust identification of 3-D faces. In order to assist establishment of accurate dense point correspondences, an isometric embedding shape representation is introduced, which is able to transform 3-D faces to a canonical form that retains the intrinsic geometric structure and achieve shape alignment of 3-D faces independent from individual’s facial expression. The feasibility and effectiveness of the proposed method was investigated using standard publicly available Gavab and BU-3DFE databases, which contain faces expressions and pose variations. The performance of the system was compared with the existing benchmark approaches and it demonstrates that the proposed scheme provides a competitive solution for the face recognition task with real-world practicality.

Paper Citation

in Harvard Style

Quan W., Matuszewski B. and Shark L. (2015). 3-D Shape Matching for Face Analysis and Recognition . In Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM, ISBN 978-989-758-077-2, pages 45-52. DOI: 10.5220/0005180300450052

in Bibtex Style

@conference{icpram15,
author={Wei Quan and Bogdan Matuszewski and Lik-Kwan Shark},
title={3-D Shape Matching for Face Analysis and Recognition},
booktitle={Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,},
year={2015},
pages={45-52},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005180300450052},
isbn={978-989-758-077-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,
TI - 3-D Shape Matching for Face Analysis and Recognition
SN - 978-989-758-077-2
AU - Quan W.
AU - Matuszewski B.
AU - Shark L.
PY - 2015
SP - 45
EP - 52
DO - 10.5220/0005180300450052