A person-specific, rigorous aging model of the human face

Authors:
Catherine M. Scandrett (née Hill);Christopher J. Solomon;Stuart J. Gibson
Affiliations:
School of Physical Sciences, University of Kent, Canterbury, Kent CT2 7NT, UK;School of Physical Sciences, University of Kent, Canterbury, Kent CT2 7NT, UK;School of Physical Sciences, University of Kent, Canterbury, Kent CT2 7NT, UK
Venue:
Pattern Recognition Letters
Year:
2006

Citing 3
Cited 9

Active Appearance Models

IEEE Transactions on Pattern Analysis and Machine Intelligence
Toward Automatic Simulation of Aging Effects on Face Images

IEEE Transactions on Pattern Analysis and Machine Intelligence
EvoFIT: A holistic, evolutionary facial imaging technique for creating composites

ACM Transactions on Applied Perception (TAP)

Automatic Age Estimation Based on Facial Aging Patterns

IEEE Transactions on Pattern Analysis and Machine Intelligence
Comparative evaluation of automatic age-progression methodologies

EURASIP Journal on Advances in Signal Processing
New methodology in facial composite construction: from theory to practice

International Journal of Electronic Security and Digital Forensics
A New Computational Methodology for the Construction of Forensic, Facial Composites

IWCF '09 Proceedings of the 3rd International Workshop on Computational Forensics
A survey of the effects of aging on biometric identity verification

International Journal of Biometrics
Bayesian age estimation on face images

ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Verification of aging faces using local ternary patterns and Q-stack classifier

BioID_MultiComm'09 Proceedings of the 2009 joint COST 2101 and 2102 international conference on Biometric ID management and multimodal communication
Age estimation of facial images based on an improved non-negative matrix factorization algorithms

ICIC'10 Proceedings of the Advanced intelligent computing theories and applications, and 6th international conference on Intelligent computing
A multi-layer model for face aging simulation

Transactions on edutainment VI

Quantified Score

Hi-index	0.10

Visualization

Abstract

We present a statistically rigorous approach to the aging of digitised images of the human face. Our methodology is based on the calculation of optimised aging trajectories in a model space and aged images can be obtained through a fast, semi-automatic procedure. In addition, person-specific information about the subject at previous ages is included, allowing aging to proceed in the most appropriate direction in the model space. The theoretical basis is introduced and experimental results from our implementation are presented and discussed.