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Authors: Wei Quan ; Bogdan Matuszewski and Lik-Kwan Shark

Affiliation: University of Central Lancashire, United Kingdom

ISBN: 978-989-758-077-2

Keyword(s): Face Recognition, Shape Matching and Modelling, Isometric Embedding Representation, Non-Rigid Deformation Registration.

Related Ontology Subjects/Areas/Topics: Applications ; Biomedical Engineering ; Biomedical Signal Processing ; Biometrics ; Biometrics and Pattern Recognition ; Multimedia ; Multimedia Signal Processing ; Pattern Recognition ; Shape Representation ; Software Engineering ; Telecommunications

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 dat abases, 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. (More)

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Paper citation in several formats:
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

@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},
}

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

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