3-D Shape Matching for Face Analysis and Recognition

Quan, Wei orcid iconORCID: 0000-0003-2099-9520, Matuszewski, Bogdan orcid iconORCID: 0000-0001-7195-2509 and Shark, Lik orcid iconORCID: 0000-0002-9156-2003 (2015) 3-D Shape Matching for Face Analysis and Recognition. In: Proceedings of the International Conference on Pattern Recognition Applications and Methods. Science and Technology Publications, Lda, Portugal, pp. 45-52. ISBN 978-989-758-077-2

[thumbnail of ICPRAM_2015_24.pdf]
PDF - Published Version

Official URL: http://www.scitepress.org/DigitalLibrary/Link.aspx...


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.

Repository Staff Only: item control page