Face recognition with Bayesian convolutional networks for robust surveillance systems

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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Bibliographic Details
Main Authors: Umara Zafar, Mubeen Ghafoor, Tehseen Zia, Ghufran Ahmed, Ahsan Latif, Kaleem Razzaq Malik, Abdullahi Mohamud Sharif
Format: Article
Language:English
Published: SpringerOpen 2019-01-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Face recognition
Unconstrained face images
Convolutional neural networks
Bayesian convolutional neural networks
Model uncertainty
Online Access:http://link.springer.com/article/10.1186/s13640-019-0406-y

Internet

http://link.springer.com/article/10.1186/s13640-019-0406-y

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