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
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Standardization of face image sample quality
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Head Pose Estimation from Passive Stereo Images
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
Asymmetry-Based Quality Assessment of Face Images
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
An automatic face log collection method for video sequence
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
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When a person passes by a surveillance camera a sequence of image is obtained. Before performing any analysis on the face of a person, the face first needs to be detected and secondary the quality of the different face images needs to be evaluated. In this paper we present a system based on four simple features including out-of-plan rotation, sharpness, brightness and resolution, to assess the face quality in a video sequence. These features are combined using both a local scoring system and weights. The system is evaluated on two databases and the results show a general agreement between the system output and quality assessment by a human.