The Geometry of Algorithms with Orthogonality Constraints
SIAM Journal on Matrix Analysis and Applications
Toward Automatic Simulation of Aging Effects on Face Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Verification across Age Progression
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Modeling Age Progression in Young Faces
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Modeling Age Progression in Young Faces
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Grassmann discriminant analysis: a unifying view on subspace-based learning
Proceedings of the 25th international conference on Machine learning
Locating Facial Features with an Extended Active Shape Model
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part IV
Grassmann Registration Manifolds for Face Recognition
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part II
How effective are landmarks and their geometry for face recognition?
Computer Vision and Image Understanding
Facial landmark detection system using interest-region model and edge energy function
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Robust modified active shape model for automatic facial landmark annotation of frontal faces
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Age-Invariant Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face verification across age progression using discriminative methods
IEEE Transactions on Information Forensics and Security
Age transformation for improving face recognition performance
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Automatic face segmentation and facial landmark detection in range images
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Age Synthesis and Estimation via Faces: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Image-Based Human Age Estimation by Manifold Learning and Locally Adjusted Robust Regression
IEEE Transactions on Image Processing
A Discriminative Model for Age Invariant Face Recognition
IEEE Transactions on Information Forensics and Security - Part 2
Hi-index | 0.00 |
Age-separated facial images usually have significant changes in both shape and texture. Although many face recognition algorithms have been proposed in the last two decades, the problem of recognizing facial images across aging remains an open problem. In this paper, we propose a relative craniofacial growth model which is based on the science of craniofacial anthropometry. Compared to the traditional craniofacial growth model, the proposed method introduces a set of linear equations on the relative growth parameters which can be easily applied for facial image verification across aging. We then integrate the relative growth model with the Grassmann manifold and the SVM classifier. We also demonstrate how knowing the age could improve shape-based face recognition algorithms. Experiments show that the proposed method is able to mitigate the variations caused by the aging progress and thus effectively improve the performance of open-set face verification across aging.