Authors:
Wei Quan
;
Bogdan Matuszewski
and
Lik-Kwan Shark
Affiliation:
University of Central Lancashire, United Kingdom
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 da
tabases, 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)