Isometric deformation modeling using singular value decomposition for 3D expression-invariant face recognition

Authors:
Dirk Smeets;Thomas Fabry;Jeroen Hermans;Dirk Vandermeulen;Paul Suetens
Affiliations:
K.U.Leuven, Faculty of Engineering, Department of Electrical Engineering, Center of Processing Speech and Images, Medical Imaging Research Center, University Hospitals Gasthuisberg, Leuven, Belgiu ...;K.U.Leuven, Faculty of Engineering, Department of Electrical Engineering, Center of Processing Speech and Images, Medical Imaging Research Center, University Hospitals Gasthuisberg, Leuven, Belgiu ...;K.U.Leuven, Faculty of Engineering, Department of Electrical Engineering, Center of Processing Speech and Images, Medical Imaging Research Center, University Hospitals Gasthuisberg, Leuven, Belgiu ...;K.U.Leuven, Faculty of Engineering, Department of Electrical Engineering, Center of Processing Speech and Images, Medical Imaging Research Center, University Hospitals Gasthuisberg, Leuven, Belgiu ...;K.U.Leuven, Faculty of Engineering, Department of Electrical Engineering, Center of Processing Speech and Images, Medical Imaging Research Center, University Hospitals Gasthuisberg, Leuven, Belgiu ...
Venue:
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Year:
2009

Citing 18
Cited 2

3D Human Face Recognition Using Point Signature

FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Three-Dimensional Face Recognition

International Journal of Computer Vision
Performance of Geometrix ActiveID^TM 3D Face Recognition Engine on the FRGC Data

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
Strategies and Benefits of Fusion of 2D and 3D Face Recognition

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
A 3D Facial Expression Database For Facial Behavior Research

FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Deformation Modeling for Robust 3D Face Matching

CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
3D Face Recognition Using 3D Alignment for PCA

CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Multiple Nose Region Matching for 3D Face Recognition under Varying Facial Expression

IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining local features for robust nose location in 3D facial data

Pattern Recognition Letters
Three-Dimensional Face Recognition Using Shapes of Facial Curves

IEEE Transactions on Pattern Analysis and Machine Intelligence
Description and retrieval of 3D face models using iso-geodesic stripes

MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Three-Dimensional Face Recognition in the Presence of Facial Expressions: An Annotated Deformable Model Approach

IEEE Transactions on Pattern Analysis and Machine Intelligence
Adapting Geometric Attributes for Expression-Invariant 3D Face Recognition

SMI '07 Proceedings of the IEEE International Conference on Shape Modeling and Applications 2007
Expression-invariant 3D face recognition

AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Exploring facial expression effects in 3d face recognition using partial ICP

ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
A Region Ensemble for 3-D Face Recognition

IEEE Transactions on Information Forensics and Security
3-D Face Recognition With the Geodesic Polar Representation

IEEE Transactions on Information Forensics and Security - Part 2
Expression-Invariant Representations of Faces

IEEE Transactions on Image Processing

A comparison of methods for non-rigid 3D shape retrieval

Pattern Recognition
meshSIFT: Local surface features for 3D face recognition under expression variations and partial data

Computer Vision and Image Understanding

Quantified Score

Hi-index	0.00

Visualization

Abstract

Currently, the recognition of faces under varying expressions is one of the main challenges in the face recognition community. In this paper a method is presented dealing with those expression variations by using an isometric deformation model. The method is built upon the geodesic distance matrix as a representation of the 3D face. We will show that the set of largest singular values is an excellent expression-invariant shape descriptor. Face comparison is performed by comparison of their shape descriptors using the mean normalized Manhattan distance as dissimilarity measure. The presented method is validated on a subset of 900 faces of the BU-3DFE face database resulting in an equal error rate of 13.37% for the verification scenario. This result is comparable with the equal error rates of other 3D expression-invariant face recognition methods using an isometric deformation model on the same database.