Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Facial asymmetry quantification for expression invariant human identification
Computer Vision and Image Understanding - Special issue on Face recognition
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Automatic Image Quality Assessment with Application in Biometrics
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Constructing Face Image Logs that are Both Complete and Concise
CRV '07 Proceedings of the Fourth Canadian Conference on Computer and Robot Vision
Likelihood Ratio-Based Biometric Score Fusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Quality Assessment System in Video Sequences
Biometrics and Identity Management
Local facial asymmetry for expression classification
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Localized iris image quality using 2-d wavelets
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Fingerprint quality indices for predicting authentication performance
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
A Comparative Study of Fingerprint Image-Quality Estimation Methods
IEEE Transactions on Information Forensics and Security
The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Standardization of face image sample quality
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
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Quality assessment plays an important role in biometrics field. Unlike the popularity of fingerprint and iris quality assessment, the evaluation of face quality is just started. To solve the incapability for performance prediction and remove the requirement for scale normalization of existing methods, three face quality measures are proposed in this paper. SIFT is utilized to extract scale insensitive feature points on face images, and three asymmetry-based quality measures are calculated by applying different constraints. Systematical experiments validate the efficacy of the proposed quality measures.