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Foveation: an alternative method to simultaneously preserve privacy and information in face images

[+] Author Affiliations
Víctor E. Alonso, Rogerio Enríquez-Caldera, Luis Enrique Sucar

Instituto Nacional de Astrofísica, Óptica y Electrónica, Tonantzintla, Puebla, México

J. Electron. Imaging. 26(2), 023015 (Apr 04, 2017). doi:10.1117/1.JEI.26.2.023015
History: Received June 30, 2016; Accepted March 6, 2017
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Abstract.  This paper presents a real-time foveation technique proposed as an alternative method for image obfuscation while simultaneously preserving privacy in face deidentification. Relevance of the proposed technique is discussed through a comparative study of the most common distortions methods in face images and an assessment on performance and effectiveness of privacy protection. All the different techniques presented here are evaluated when they go through a face recognition software. Evaluating the data utility preservation was carried out under gender and facial expression classification. Results on quantifying the tradeoff between privacy protection and image information preservation at different obfuscation levels are presented. Comparative results using the facial expression subset of the FERET database show that the technique achieves a good tradeoff between privacy and awareness with 30% of recognition rate and a classification accuracy as high as 88% obtained from the common figures of merit using the privacy-awareness map.

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Citation

Víctor E. Alonso ; Rogerio Enríquez-Caldera and Luis Enrique Sucar
"Foveation: an alternative method to simultaneously preserve privacy and information in face images", J. Electron. Imaging. 26(2), 023015 (Apr 04, 2017). ; http://dx.doi.org/10.1117/1.JEI.26.2.023015


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