Use of invisible noise signals to prevent privacy invasion through face recognition from camera images

Authors:
Takayuki Yamada;Seiichi Gohshi;Isao Echizen
Affiliations:
Graduate University for Advanced Studies, Tokyo, Japan;Kogakuin University, Tokyo, Japan;National Institute of Informatics, Tokyo, Japan
Venue:
Proceedings of the 20th ACM international conference on Multimedia
Year:
2012

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Abstract

A method is proposed for preventing privacy invasion through unintentional capture of facial images. Prevention methods such as covering the face and painting particular patterns on the face are effective but hinder face-to-face communication. The proposed method overcomes this problem through the use of a device worn on the face that transmits near-infrared signals that are picked up by camera image sensors, which makes the face in captured images undetectable. The device is similar in appearance to a pair of eyeglasses, and the signals cannot be seen by the human eye, so face-to-face communication is not hindered. Testing of a prototype "privacy visor" showed that it can effectively prevent privacy invasion via face detection by corrupting the facial images.