Face recognition with Bayesian convolutional networks for robust surveillance systems

Abstract Recognition of facial images is one of the most challenging research issues in surveillance systems due to different problems including varying pose, expression, illumination, and resolution. The robustness of recognition method strongly relies on the strength of extracted features and the...

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מידע ביבליוגרפי
Main Authors: Umara Zafar, Mubeen Ghafoor, Tehseen Zia, Ghufran Ahmed, Ahsan Latif, Kaleem Razzaq Malik, Abdullahi Mohamud Sharif
פורמט: Artigo
שפה:Inglês
יצא לאור: SpringerOpen 2019-01-01
סדרה:EURASIP Journal on Image and Video Processing
נושאים:
Face recognition
Unconstrained face images
Convolutional neural networks
Bayesian convolutional neural networks
Model uncertainty
גישה מקוונת:http://link.springer.com/article/10.1186/s13640-019-0406-y
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