Temporal analysis of adaptive face recognition

• Autorzy: Akhtar Z. , Rattani A. , Foresti G. L.

Identyfikatory

DOI

10.1515/jaiscr-2015-0012

• Języki publikacji: EN

Abstrakty

EN

Aging has profound effects on facial biometrics as it causes change in shape and texture. However, aging remains an under-studied problem in comparison to facial variations due to pose, illumination and expression changes. A commonly adopted solution in the state-of-the-art is the virtual template synthesis for aging and de-aging transformations involving complex 3D modelling techniques. These methods are also prone to estimation errors in the synthesis. Another viable solution is to continuously adapt the template to the temporal variation (ageing) of the query data. Though efficacy of template update procedures has been proven for expression, lightning and pose variations, the use of template update for facial aging has not received much attention so far. Therefore, this paper first analyzes the performance of existing baseline facial representations, based on local features, under ageing effect then investigates the use of template update procedures for temporal variance due to the facial age progression process. Experimental results on FGNET and MORPH aging database using commercial VeriLook face recognition engine demonstrate that continuous template updating is an effective and simple way to adapt to variations due to the aging process.

Słowa kluczowe

EN

aging process; facial biometrics; virtual template synthesis; complex 3D modelling techniques; temporal variation; query data; facial representation; facial age progression process

• Wydawca: University of Social Sciences
• Czasopismo: Journal of Artificial Intelligence and Soft Computing Research
• Rocznik: 2014
• Tom: Vol. 4, No. 4
• Strony: 43--255
• Opis fizyczny: Bibliogr. 42 poz., rys.

Twórcy

autor

Akhtar Z.

• Dept. of Mathematics and Computer Science, University of Udine, Italy

autor

Rattani A.

• Dept. of Computer Science and Electrical Engineering, University of Missouri at Kansas City, USA

autor

Foresti G. L.

• Dept. of Mathematics and Computer Science, University of Udine, Italy

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