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

Victor E. Alonso; Rogerio Enríquez-Caldera; Luis Enrique Sucar

doi:10.1117/1.JEI.26.2.023015

4 April 2017 Foveation: an alternative method to simultaneously preserve privacy and information in face images

Victor E. Alonso, Rogerio Enríquez-Caldera, Luis Enrique Sucar

Author Affiliations +

Journal of Electronic Imaging, Vol. 26, Issue 2, 023015 (April 2017). https://doi.org/10.1117/1.JEI.26.2.023015

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.

Citation Download Citation

Victor E. Alonso, Rogerio Enríquez-Caldera, and Luis Enrique Sucar "Foveation: an alternative method to simultaneously preserve privacy and information in face images," Journal of Electronic Imaging 26(2), 023015 (4 April 2017). https://doi.org/10.1117/1.JEI.26.2.023015

Received: 30 June 2016; Accepted: 6 March 2017; Published: 4 April 2017

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